Sunday, 9 July 2023
Mathematics: mother or daughter of creativity?
Is Mathematics Discovered or Invented?
Some think math is invented. (See an article by Peter Biles.) Evidence, though, points towards discovery. Simultaneous mathematical discovery supports this viewpoint. Many mathematical breakthroughs are sometimes independently reported by two or more mathematicians at roughly the same time. The most famous is the simultaneous discovery of calculus by Isaac Newton and Gottfried Wilhelm Leibniz. Newton was secretive about his discovery and shared his results with only a few members of the Royal Society. When Leibnitz published his discovery of the calculus, Newton charged him with Plagiarism. Today, historians agree that the discoveries were independent of each other.
Some Other Examples
Here are some other lesser-known examples of simultaneous discovery.
The Papoulis-Gerchberg Algorithm (PGA). The PGA is an ingenious method for recovering lost sections of functions that are bandlimited. (I describe the PGA in detail in my Handbook of Fourier Analysis.) The PGA was first reported by Athanasios Papoulis1 but was first published in an archival journal, independently, by Gerchberg2. The discoveries occurred independently of each other.
The Karhunen–Loève Theorem, independently discovered by Kari Karhunen3 and Michel Loève4, showed that certain random processes could be represented as an infinite linear combination of orthogonal functions, analogous to a Fourier series.
Non-Euclidean Geometry. Euclid published Elements circa 300 BC. His work wonderfully established Euclidean geometry. It was only in the first half of the 19th century that three men — J´anos Bolyai, Carl Friedrich Gauss, and Nikolai Lobachevsky, independently discovered non-Euclidean geometry. Jenkovszky et al.5 note: “The striking coincidence of independent discoveries… after more than two thousand years of stagnation, may seem almost miraculous.”
Space-Variant Processing. Here’s a personal example. During my graduate work, I developed a method for performing general space-variant processing. My advisor, John F. Walkup, found out that the same method was simultaneously discovered at Stanford by his PhD advisor’s research group. Rather than competing, we agreed to publish all of our findings in the same issue of the journal Applied Optics.6-7
Einstein’s Shoulders
In the context of the argument for discovery, some inventions can curiously be considered discovered rather than invented. Isaac Newton famously said that “if I have seen further [than others], it is by standing on the shoulders of giants.” Einstein built on Newton’s discoveries in classic physics and, in turn, stood on Newton’s shoulders with the formulation of relativity. Modern physicists stand on Einstein’s shoulders. The advancement in technology can likewise be considered standing on an ever-increasing stack of shoulders. This is certainly the case in artificial intelligence. Rosenblatt and Widrow’s early work on AI led to discovery of error backpropagation neural network training that led to deep convolution neural networks, deep learning, and the generative AI we use today.
Inventions can be discovered. An example of an invention being discovered by two men is the telephone. Alexander Graham Bell is credited with inventing the telephone. But according to the Library of Congress:
Elisha Gray, a professor at Oberlin College, applied for a caveat of the telephone on the same day Bell applied for his patent of the telephone … Bell’s lawyer got to the patent office first. The date was February 14, 1876. He was the fifth entry of that day, while Gray’s lawyer was 39th. Therefore, the U.S. Patent Office awarded Bell with the first patent for a telephone, US Patent Number 174,465 rather than honor Gray’s caveat.
If true, both Gray and Bell were standing on the shoulders of those who proposed the telegraph and glimpsed the possibility of the telephone.
Philosophers might contemplate the similarity of the discovery of invention with the debate between predestination and free will. If inventions and advancements in mathematics are discovered, the future is, in a sense, predestined by our discoveries. The pros and cons of the debate will continue well beyond the arguments presented here.
References
A. Papoulis. A new method of image restoration. Joint Services Technical Activity Report, 39, 1973–74
R.W. Gerchberg. Super-resolution through error energy reduction. Optica Acta, Vol. 21, pp. 709–720, 1974.
Kari Karhunen ‘Zur Spektraltheorie Stochastischer Prozesse’, Ann. Acad. Sci. Fennicae, (1946), 37
Michel Loève ‘Probability Theory’, Princeton, N.J.: VanNostrand, 1955
László Jenkovszky, Matthew J. Lake, and Vladimir Soloviev. “János Bolyai, Carl Friedrich Gauss, Nikolai Lobachevsky and the New Geometry: Foreword.” Symmetry 15, no. 3 (2023): 707.
R.J. Marks II, J.F. Walkup, M.O. Hagler and T.F. Krile “Space-variant processing of one-dimensional signals,” Applied Optics, vol. 16, pp.739-745 (1977).
Joseph W. Goodman, Peter Kellman, and E. W. Hansen. “Linear space-variant optical processing of 1-D signals.” Applied Optics 16, no. 3 (1977): 733-738.
Phoebe : the Watchtower Society's Commentary.
PHOEBE
(Phoeʹbe) [Pure; Bright; Radiant].
A Christian sister of the first-century congregation in Cenchreae. Paul, in his letter to the Christians at Rome, ‘recommends’ this sister to them and calls on them to render her any needed assistance as one who “proved to be a defender of many, yes, of me myself.” (Ro 16:1, 2) It may be that Phoebe delivered Paul’s letter in Rome or else accompanied the one who did.
Paul refers to Phoebe as “a minister of the congregation that is in Cenchreae.” This raises the question as to the sense in which the term di·aʹko·nos (minister) is here used. Some translators view the term in an official sense and hence render it “deaconess” (RS, JB). But the Scriptures make no provision for female ministerial servants. Goodspeed’s translation views the term in a general sense and translates it “helper.” However, Paul’s reference is evidently to something having to do with the spreading of the good news, the Christian ministry, and he was speaking of Phoebe as a female minister who was associated with the congregation in Cenchreae.—Compare Ac 2:17, 18.
Phoebe served as “a defender of many.” The term translated “defender” (pro·staʹtis) has the basic sense of “protectress” or “succorer,” so that it implies not mere cordiality but a coming to the aid of others who are in need. It may also be rendered “patroness.” Phoebe’s freedom to travel and to render notable service in the congregation may indicate that she was a widow and possibly a woman of some material wealth. So, she may have been in position to use influence in the community in behalf of Christians who were being wrongly accused, defending them in this way; or she may have provided refuge for them in time of danger, serving as a protectress. The record gives no details.
Saturday, 8 July 2023
Dating methods get the third degree
Fossil Friday: Alleged Precambrian Fossil Unmasked as Rotten Beehive
When the Covid pandemic struck in 2020 a scientific conference in India was cancelled, and some stranded scientists used their unexpected free time as an opportunity for a field trip to the Bhimbetka Rock Shelters in central India, a famous UNESCO World Heritage site of ancient rock art. One of these scientists was paleontologist Gregory Retallack, a retired professor from the University of Oregon and expert on Ediacaran fossils. The Maihar Sandstone rocks of the cave have been attributed to the Upper Vindhyan strata, which are of contentious Precambrian age between 1,600 to 541 million years old (Nature 2021, Kwafo et al. 2023). Retallack noticed strange impressions high up on the walls of the cave, which he identified as three specimens of the fossil Ediacaran organism Dickinsonia. Retallack found that “the fossils are identical with Dickinsonia tenuis from the Ediacara Member of the Rawnsley Quartzite in South Australia.”
This would have represented not just the first record of Dickinsonia in India, but would have also confirmed the younger Ediacaran age of the Bhimbetka rocks and rewritten our understanding of the plate tectonic history of the Indian subcontinent. Retallack published his remarkble discovery with a team of five co-authors in the high-impact journal Gondwana Research (Retallack et al. 2021). The prestigious
journal Nature commented that the “fossil from dawn of animal life found in India’s famous caves … offers insights into the range of emerging complex life” (Nature 2021). Of course, the sensational discovery attracted worldwide media coverage from the New York Times to the Weather Channel.
Isn’t Science Cool?!
Well, earlier this year a new study by a team of scientists from the University of Florida and from India turned the cool science into a real bummer. The scientists revisited the site and discovered that the assumed Ediacaran fossils are neither of Ediacaran age nor represent fossils at all, but are just the recent remains of decayed and fallen beehives. The patterns of remaining wax, where the beehives were attached to the cave wall and fell off, just accidently happened to resemble the shape of Dickinsonia fossils at first glance. That’s a big oopsie. The debunking evidence was so overwhelming (Meert et al. 2023, also see Kwafo et al. 2023 and Pandey et al. 2023) that even the original authors publicly admitted their mistaken identification (Retallack et al. 2023), for which they have even been praised as a kind of heroes of science (University of Florida 2023). Of course, this retraction renders all the grandiose conclusions about the age of the rocks and the paleogeography of India moot as well (University of Florida 2023, Kwafo et al. 2023).
There is another point I would like to mention: It is a common creationist meme often repeated on social media that paleontologists engage in circular reasoning because they date the rocks with fossils and the fossils with the rocks they are found in. This is simply not true in many cases, where different dating techniques like radiometric datings and paleomagnetography supplement biostratigraphic evidence. But the present case also illustrates that the trope is not totally off. Here is what the scientists commented (University of Florida 2023): “Correcting the fossil record puts the age of the rocks back into contention. Because the rock formation doesn’t have any fossils from a known time period, dating it can be difficult.” Read the last sentence again and let it sink in.
Hard Rocks, Soft Science
It is also interesting to note that an old dating of 900 million years and a younger dating of 550 million years are both supported by the same radiometric U-Pb dating technique of Upper Vindhyan zircon crystals (Lan et al. 2020, Nature 2021). So, radiometric methods clearly are not as reliable and precise as many scientists love to think. This does not mean that the consensus geological timeline is totally wrong, but it at least shows that questioning such datings is not irrational either. That renowned scientists can engage in Rorschach play with accidental patterns on rock walls and produce peer-reviewed scientific papers with far-reaching evolutionary conclusions from such pseudoscientific endeavours will likely raise further justified doubts in paleontological evidence for evolution in general. Even though the fossil rocks are hard, the interpreting science often seems to be very soft!
References
Kwafo S, Singha A, Pandit M & Meert J 2023. Reply to the comment by Retallack et al. (2023) on “Stinging News: ‘Dickinsonia’ discovered in the Upper Vindhyan of India not worth the buzz”. Gondwana Research 118, 160–162. DOI: https://doi.org/10.1016/j.gr.2023.02.016
Lan Z, Zhang S, Li X-H, Pandey SK, Sharma M, Shukla Y, Ahmad S, Sarkar S & Zhai M 2020. Towards resolving the ‘jigsaw puzzle’ and age-fossil inconsistency within East Gondwana. Precambrian Research 345:105775. DOI: https://doi.org/10.1016/j.precamres.2020.105775
Meert JG, Pandit MK, Kwafo S & Singha A 2023. Stinging News: ‘Dickinsonia’ discovered in the Upper Vindhyan of India not worth the buzz. Gondwana Research 117, 1–7. DOI: https://doi.org/10.1016/j.gr.2023.01.003
Nature 2021. Fossil from dawn of animal life found in India’s famous cave. Nature India February 17, 2021. https://www.nature.com/articles/nindia.2021.30
Pandey SK, Ahmad S & Sharma M 2023. Dickinsonia tenuis reported by Retallack et al. 2021 is not a fossil, instead an impression of an extant ‘fallen beehive’. Journal of the Geological Society of India 99, 311–316. DOI: https://doi.org/10.1007/s12594-023-2312-2
Retallack GJ, Matthews NA, Master S, Khangar RG & Khan M 2021. Dickinsonia discovered in India and late Ediacaran biogeography. Gondwana Research 90, 165–170. DOI: https://doi.org/10.1016/j.gr.2
Retallack GJ, Master S, Khangar RG & Khan M 2023. Discussion on “Stinging News: ‘Dickinsonia’ discovered in the Upper Vindhyan of India not worth the buzz” by Meert, et al. (2023). Gondwana Research 118, 163–164. DOI: https://doi.org/10.1016/j.gr.2023.02.006
University of Florida 2023. Mistaken fossil rewrites history of Indian subcontinent for second time. ScienceDaily February 1, 2023. https://www.sciencedaily.co
Michael Denton on why there must first be light.
Denton Explains How Light Sustains Human Life
On a classic episode of ID the Future, biochemist and medical doctor Michael Denton explores a “miraculous convergence of properties” for life. The topic is Denton’s book Children of Light: The Astonishing Properties of Sunlight That Make Us Possible, part of his Privileged Species book series that also includes The Miracle of Man, The Miracle of the Cell, The Wonder of Water, and Fire-Maker. Here, Denton lets his astonishment flow freely in an interview with host Sarah Chaffee, with topics ranging from the light of the sun to key chemicals here on Earth. “The atmosphere lets through just the light we need,” says Denton, “and the sun puts out just the light we need. It’s a remarkable coincidence…The atmosphere does just what is needed for life on Earth.” Taken together, it’s an astonishing array of evidence showing how finely tuned Earth is for human life. And the common-sense conclusion, Denton says, is that a designing intelligence is the most adequate explanation for the properties on our planet that make life like us possible. This is Part 1 of a two-part discussion. Download the podcast or listen to it here.
David Berlinski deconstructs scientism
Ovid in His Exile
Editor’s note: We are delighted to welcome Science After Babel, the latest book from mathematician and philosopher David Berlinski. This article is adapted from Chapter 14.
Schermerhorn Hall at Columbia University was the scene of many strange experiments. One day, a very young chimpanzee escaped from the building and, flushed with its freedom, began to gambol and frolic on the pathetic square of shabby and well-worn grass that served as a lawn in front of the building. A crowd quickly collected. The mathematician Lipman Bers joined me. A scruffy puppy noticed the commotion and scooted into the square where the chimpanzee was playing. The two animals promptly became friends, but the puppy, it soon became apparent, was less intelligent than the chimpanzee. Again and again he would find himself maneuvered into absurd and humiliating positions. “So stupid,” snorted Bers, referring to the dog. Pleased and flattered by the attention, the chimpanzee began to refine his act and play to the crowd, using gestures, and even facial expressions — the universal rictus of triumph, for example — that everyone recognized. After a while, the chimpanzee’s frantic owner, a rather dishy young woman, I recall, collared him in the courtyard and the game was over. As the chimpanzee was led away, he waved to the crowd, a true sportsman. The puppy sat on its haunches and panted assiduously.
The Incompetent and the Indifferent
I learned later from Bers that research biologists were trying to teach the chimpanzee American Sign Language. They had been working with an older animal, but evidently the beast, while learning some signs, grew unsurprisingly to detest his owners, who finally shipped him to a zoo in San Diego. There he occupied himself unprofitably in attempting to teach the other animals to sign, a splendid case of the incompetent endeavoring to instruct the indifferent.
“A vast tragedy,” Bers remarked sentimentally, “like Ovid in his exile.”
I mention this sad little story only to remark on its ironic conclusion. For a time during the 1970s, a number of biologists were actually convinced that they had taught chimpanzees and great apes to talk; many of them reported long conversations, chiefly about bananas (Me: More!), that they held with their charges. Their research was no sooner published than it was accepted and believed, largely, I think, because a crude Darwinian theory — there is no other — made it difficult to imagine that profound and ineradicable differences exist between human beings and the rest of the animal world. Penny Peterson at Stanford, Herbert Terrace at MIT, and David Premack at the University of Pennsylvania all convinced themselves that somehow the great apes had sat in stony silence throughout the vast reaches of biological time only because they lacked human conversational companionship.
Nothing to Say
The inevitable, skeptical reaction soon set in. Videotapes taken of chimpanzees revealed, when carefully analyzed, that what had passed for chimpanzee conversation was nothing more than prompted signings in the best of cases — a record of the beast’s pathetic endeavor to say whatever it was that his trainer wished him to say; in the worst of cases, the beast simply babbled (More Me More More!), his signs utterly devoid of meaning. Herbert Terrace, who had wasted years in browbeating the poor creatures, examined videotapes of his own encounters with his animals and came away shaken. Some work, of course, continues, but to little effect. Ever credulous, scientists now report that they have engaged the dolphin in stimulating conversation. Next year, no doubt, it will be the turkey.
Seventeenth-century Jesuits wondered why dogs do not talk. Their conclusion bears repeating. They have nothing to say.
Friday, 7 July 2023
It evolved because it survived/it survived because it evolved.
Andrew Xiao Confirms Adenine Methylation in Mammals—Thinks it Evolved
Evolutionists are going to need a bigger rug as Yale professor Andrew Xiao now has a new pile of stuff he is absurdly trying to ascribe to evolution. Xiao’s team has confirmed that in mammals the fundamental epigenetic signal—the methyl group—is sometimes attached to a second type of DNA base. DNA is made up of four types of bases (cytosine [C], guanine [G], adenine [A] and thymine [T]) and, as in the lower species, methyl groups are sometimes attached to adenine in mammals as well.
Such epigenetic signals help to cause directed adaptation in organisms—the ability to rapidly respond to new environmental challenges. And this new finding means that not just with cytosine, but with adenine as well, random mutations must have created the proteins (i) to attach the methyl groups and (ii) to remove them.
Both types of proteins are needed to make the epigenetic response work. With either protein alone, you just have chaos.
You also need the network of signals and regulation to set these proteins in action at the proper times, and only at the proper times. And of course these epigenetic signals must somehow influence the transcription process.
This isn’t going to happen with random mutations. And, no, natural selection doesn’t help.
But this is only the beginning.
In the lower species, attaching the methyl group to adenine caused gene activation. But in the mammals studied, the new research found that adenine methylation caused gene inactivation. In other words, the exact same methylation signal attached to the same nitrogen atom in the same base, somehow reversed polarity.
That makes no sense. Any change in polarity in the circuitry logic would throw the system into chaos. Imagine your thermostat now works in reverse. When you adjust the temperature lower, the heater rather than the air conditioner, turns on. You wanted it to be cooler, but instead it got even hotter.
Such a change in polarity in the circuitry would have to take place simultaneously, at several functions throughout the logic. This isn’t going to happen with random mutations. And, no, natural selection doesn’t help.
This is all a bad joke. The science makes no sense on evolution, and like the drunk at the party, evolutionists are the only ones who don’t get it.
Posted by Cornelius Hunter
Child prostitution: a brief history.
Child prostitution
Child prostitution is prostitution involving a child, and it is a form of commercial sexual exploitation of children. The term normally refers to prostitution of a minor, or person under the legal age of consent. In most jurisdictions, child prostitution is illegal as part of general prohibition on prostitution.
Child prostitution usually manifests in the form of sex trafficking, in which a child is kidnapped or tricked into becoming involved in the sex trade, or survival sex, in which the child engages in sexual activities to procure basic essentials such as food and shelter. Prostitution of children is commonly associated with child pornography, and they often overlap. Some people travel to foreign countries to engage in child sex tourism. Research suggests that there may be as many as 10 million children involved in prostitution worldwide.[1] The practice is most widespread in South America and Asia, but prostitution of children exists globally,[2] in undeveloped countries as well as developed.[3] Most of the children involved with prostitution are girls, despite an increase in the number of young boys in the trade.
All member countries of the United Nations have committed to prohibiting child prostitution, either under the Convention on the Rights of the Child or the Optional Protocol on the Sale of Children, Child Prostitution and Child Pornography. Various campaigns and organizations have been created to try to stop the practice.
Several definitions have been proposed for prostitution of children. The United Nations defines it as "the act of engaging or offering the services of a child to perform sexual acts for money or other consideration with that person or any other person".[4] The Convention on the Rights of the Child's Optional Protocol on the Sale of Children, Child Prostitution, and Child Pornography defines the practice as "the act of obtaining, procuring or offering the services of a child or inducing a child to perform sexual acts for any form of compensation or reward". Both emphasize that the child is a victim of exploitation, even if apparent consent is given.[5] The Worst Forms of Child Labour Convention, 1999, (Convention No 182) of the International Labour Organization (ILO) describes it as the "use, procuring or offering of a child for prostitution".[6]
According to the International Labour Office in Geneva, prostitution of children and child pornography are two primary forms of child sexual exploitation, which often overlap.[2] The former is sometimes used to describe the wider concept of commercial sexual exploitation of children (CSEC). It excludes other identifiable manifestations of CSEC, such as commercial sexual exploitation through child marriage, domestic child labor, and the trafficking of children for sexual purposes.[7]
The terminology applied to the practice is a subject of dispute. The United States Department of Justice states, "The term itself implies the idea of choice, when in fact that is not the case."[8] Groups that oppose the practice believe that the terms child prostitution and child prostitute carry problematic connotations because children are generally not expected to be able to make informed decisions about prostitution. As an alternative, they use the terms prostituted children and the commercial sexual exploitation of children.[9] Other groups use the term child sex worker to imply that the children are not always "passive victims".[9]
Prostitution of children exists in every country, though the problem is most severe in South America and Asia.[27] The number of prostituted children is rising in other parts of the world, including North America, Africa, and Europe.[27] Exact statistics are difficult to obtain,[60] and in some cases, such as that of Argentina, child prostitution is considered to be on the rise but without reliable statistics.[61][62] However, it is estimated that there are around 10 million children involved in prostitution worldwide.[1]
Professor Dave :Darwinism's LVP Has got the argument by insult and assertion down to a science.
My “Debate” with Professor Dave
Editor’s note: A YouTuber, angry atheist, and self-styled science educator, “Professor Dave” Farina came to our attention for the sole reason that his YouTube channel, “Professor Dave Explains,” has a significant following. With this in mind, Günter Bechly, Jonathan McLatchie, and others have responded to his videos about intelligent design. On Twitter, Dr. McLatchie took some time to engage in an exchange with Farina, which reflects the quality of the latter’s thinking, such as it is. The following has been edited mostly for clarity.
McLatchie: Here is part 3 of my ongoing Series responding to Mr. Dave Farina’s criticisms of Professor Mike Behe’s work.
Farina: Get ready for the top search result for your name on both Google and YouTube being me taking a big steamy dump all over your dumb science denying apologist face.
McLatchie: I’m quaking in my boots…
McLatchie: Are you willing to acknowledge any of your mistakes and misrepresentations in your video response to Behe?
Farina: I didn’t make any mistakes, and I didn’t read your dog**t blog posts. But don’t worry, later I’ll make a video going through your lies and humiliating you just like I did your other idiot colleagues. Enjoy!
McLatchie: I’m curious how you know that I’m wrong if you haven’t even read my blog posts yet?
Farina: Um, you’re a sh**bag apologist who works for a disgusting propaganda mill. You’re always wrong. All of you are always wrong. That’s literally your purpose in life. Just stop talking, dumba**.
McLatchie: In case anyone needed any further justification of why we don’t take @daveexplains very seriously…
Farina: This is why nobody takes YOU seriously, f***tard. You just whine about how mean I am instead of being able to refute anything I say. Enjoy continuing to be the laughing stock of the scientific community, dumba**.
McLatchie: I am happy to list several items that I take to be evidence for evolution and surprising on my perspective of ID. How many cases can you list of data points that tend to confirm ID and are surprising on evolution?
Farina: Nothing confirms ID, dumbass. It isn’t science. Get your life together.
McLatchie: Now what does that say about who of the two of us is adopting more of a scientific mindset and is persuadable by the evidence?
Farina: It says that I’m someone who acknowledges science and you’re a brainwashed loser upholding religious propaganda in the face of overwhelming evidence proving you wrong. How long do you wanna keep humiliating yourself here, moron?
McLatchie: A major red flag that confirmation bias plays a significant role in your reasoning is when you cannot concede the presence of any weaknesses in, or evidence against, your own position.
Farina: There is no evidence against evolution. You’re just brainwashed and stupid. Pretending that you aren’t a stooge for an anti-science propaganda organization is a major red flag. And you whine about confirmation bias.
McLatchie: You contend that you didn’t make any mistakes. Are you sure about that? E.g., you claim in your video that Behe asserts that malaria cannot achieve resistance to chloroquine. But in The Edge of Evolution, Behe states precisely the opposite. Would you like to correct yourself?
McLatchie: Do I hear crickets?
[CRICKETS]
McLatchie: I shall take the silence as a tacit admission that you made an error here. Let’s take another example. You cited a paper that you claimed showed the evolution of a flagellum under experimental conditions. But the paper doesn’t say this, as I show in my Article.
McLatchie: All that the researchers deleted was the flagellar master switch protein, FleQ, in Pseudomonas fluorescens. After a few days of incubating the bacterial cells on Petri dishes, they reacquired their ability to grow flagella.
McLatchie: Basically, another master switch protein, NtrC, that is a structurally similar homolog of FleQ already had the ability to cross-bind to the promoter usually bound by FleQ. When produced in excess, as a result of a broken regulator, NtrC was thus able to drive flagellar synthesis.
McLatchie: I was wondering whether you would be happy to concede that you misrepresented this paper?
[CRICKETS]
McLatchie: Unfortunately, @daveexplains doesn’t seem willing to respond when others, such as myself, document undisputable mistakes in his work. This is a really bad trait to have, particularly as one who promotes himself as a science educator.
[CRICKETS]
McLatchie: I am going to take your silence, again, as a tacit admission that you were in error on the above two points.
McLatchie: Here is the fourth and final installment of my Series responding to Mr. Dave Farina’s criticisms of Professor Mike Behe’s work.
Farina: I’m glad you got your little tantrum out! I look forward to the tenth DI errand boy pretending to debunk my video where I hand you’re a** to you. Gotta dunk on Bechly again first though, so sit tight for that, dumba**.
Thursday, 6 July 2023
The physics of design?
Physics, Information Loss, and Intelligent Design
In an earlier article, I showed that information ratchets do not exist in nature. The most that any mechanistic system can do is to reproduce the information already available within the system. Printing presses reproduce the typeset information placed in the mechanism by human operators. ChatGPT simply accesses and rearranges information originated by humans and uploaded on the Internet. No new information is produced in either case.
In a recent article, I introduced the physical concept of the generalized second law of thermodynamics, as a governing principle consistent with the Law of Conservation of Information, which William Dembski formulated with the claim that natural causes cannot increase complex specified information in a closed system over time. Here, I’ll seek to provide an explanation of the physics behind the generalized second law — a rationale for why natural processes destroy information.
A Starting Point
First, let’s consider something that may be more easily visualized than information flow. Imagine a system where heat flows from a hot region to a cold region under the constraint of the traditional second law of thermodynamics. The Clausius statement of the traditional second law of thermodynamics tells us that nature works in such a way that heat never flows the other way around. When I add cold cream to my hot coffee, heat flows from the coffee into the cream, until the mixture comes to an equilibrium temperature. The one-way flow of heat is irreversible by natural causes, and the reason is based in the physics of how nature works.
We say an object is “hot” when the average kinetic energy of its component atoms is high. My hot coffee has molecules with higher kinetic energy, on average, than the molecules of the cold cream. When they are mixed in the cup, collisions between atoms occur. First-year physics students will be familiar with a problem asking for the final velocities of two colliding objects, in terms of their initial velocities. For head-on elastic collisions, using the laws of conservation of energy and momentum, the result is always that the slower object ends up moving faster and the faster object ends up moving slower. Cream added to hot coffee unavoidably gives a mixture in which the coffee has lost heat to the cream.
What about the less physical concept of information? How can we physically explain the relentless loss of information by natural processes? Information seems to be a nonphysical concept, but in our universe, it is stored in specific arrangements of physical states of matter. An intelligent mind can recognize specific arrangements of matter (such as molecules of ink that form letters on a page) that convey a meaningful message. In a different context, biochemists can recognize particular sequences of nucleotide bases in a genome that code for a functional protein.
Linking Information and Observer
All the information that can be known by an observer about a system of any kind is contained within the quantum mechanical wavefunction of the system. My apologies for bringing up quantum mechanics, but its relevance here is that it serves as the link between the information of a system (anything from a single atom to a complex biomolecule to a macroscopic object) and an observer. Unless the wave function of the system is completely isolated from any environmental influence, it will suffer decoherence (loss of information) with the passage of time. In one sense, the wavefunction spreads out into the environment, meaning that the observer will have greater and greater uncertainty as to the state of the system as time goes on. The physical interaction of atoms or photons uncompromisingly causes this effect, with its resulting loss of information.
Some might argue that “luck” could result in an opposite outcome, with interactions causing an increase in information (in biochemistry, this would correlate with increased functional complexity). Why couldn’t this happen? Simply because there are always more ways to go wrong than to go right, when considering whether interactions will result in chaos or increased complex specified information.
An increase in information requires not just one right choice (or lucky draw), but a long sequence of correct choices. Luck might happen once, but any gambler knows that if “lucky outcomes” keep happening against the odds, then the game is rigged. A “rigged game” in nature corresponds to a law of physics — in this case, a law causing information to increase over time by natural causes. Such a law cannot really exist, however, since we already have a law of nature that says the opposite. As I mentioned in a recent article, “Theistic Cosmology and Theistic Evolution — Understanding the Difference”:
In our study of science, we have found that the laws of nature do not contradict one another. We don’t have laws of nature that only apply piecemeal.
Imagination and Freedom
Only by the action of non-physical intelligence can the natural process of decoherence and information loss be overcome. Information is meaningless apart from a rational mind, meaning the creation of new information requires more than knowledge. Increased information requires imagination and the freedom to creatively design complex outcomes that convey meaning or exhibit function. (See, “Intelligence Is Unnatural, and Why That Matters.”)
The non-physical aspect of our intelligent minds can succeed in producing information because an intelligent mind can imagine a meaningful outcome and act to separate the components of a complex system from their natural mixed state into specific arrangements that actualize that outcome. This takes work, meaning it requires energy, but not energy alone, since without the guidance of a non-physical mind, energy cannot succeed in increasing information in a closed system. Intelligent design remains the only explanation consistent with the laws of physics for the increasing information content of living systems throughout life’s history on Earth.
Peace on earth : the real final frontier?
William Shatner and Our Privileged Planet
William Shatner wrote about the experience of space flight, back in December in The Guardian:
Last year, at the age of 90, I had a life-changing experience. I went to space, after decades of playing a science-fiction character who was exploring the universe and building connections with many diverse life forms and cultures. I thought I would experience a similar feeling: a feeling of deep connection with the immensity around us, a deep call for endless exploration. A call to indeed boldly go where no one had gone before.
I was absolutely wrong. As I explained in my latest book, what I felt was totally different. I knew that many before me had experienced a greater sense of care while contemplating our planet from above, because they were struck by the apparent fragility of this suspended blue marble. I felt that too. But the strongest feeling, dominating everything else by far, was the deepest grief that I had ever experienced.
While I was looking away from Earth, and turned towards the rest of the universe, I didn’t feel connection; I didn’t feel attraction. What I understood, in the clearest possible way, was that we were living on a tiny oasis of life, surrounded by an immensity of death. I didn’t see infinite possibilities of worlds to explore, of adventures to have, or living creatures to connect with. I saw the deepest darkness I could have ever imagined, contrasting starkly with the welcoming warmth of our nurturing home planet.
I worry about the world my grandchildren will be living in when they are my age
This was an immensely powerful awakening for me. It filled me with sadness. I realised that we had spent decades, if not centuries, being obsessed with looking away, with looking outside. I played my part in popularising the idea that space was the final frontier. But I had to get to space to understand that Earth is, and will remain, our only home. And that we have been ravaging it, relentlessly, making it uninhabitable.
Shatner‘s surprising revelation may be interpreted by some as an environmentalist creed, but I rather see it as a poetical formulation of the fine-tuning of Earth for life. It shows that atheists like Bill Nye are wrong when they say we are just an insignificant speck of dust in an average galaxy. We clearly are special and significant and certainly not an accident.
On a related subject, I was asked recently, “Why would a God create such an enormous universe and only give life to one tiny speck of dust?” Well, imagine you would like to teach two important lessons to your creatures: 1) you are very special; 2) but don‘t become a megalomaniac because God is infinitely greater than you. The universe would get both points across pretty well.
SETI And the elephant in the room.
The Search for ET Artifacts Misses the Elephant.
Now that NASA’s freakishly powerful James Webb Space Telescope is fully operational, there is renewed chatter about the possibility of discovering extra-terrestrial life. Our galaxy alone is filled with hundreds of billions of stars, and the thinking among many space geeks is that some of these are bound to support living planets, and some of those are bound to have fostered intelligent creatures who have developed technology capable of sending radio signals and even spaceships to distant star systems, including our own.
An Elusive Mediocrity
Then there are the skeptics. In the summer of 1950, four top physicists were discussing the possibility that the universe is teaming with advanced extra-terrestrials. Later, when they sat down to lunch, one of them blurted, “But where is everybody?” In other words, if the universe is chock full of extra-terrestrial space cowboys, why aren’t we overrun with them? Instead, at the time there was not one verified piece of evidence of any extra-terrestrials, the various dodgy UFO reports in the popular media of the day notwithstanding.
The man who posed the question was Italian-American physicist Enrico Fermi, and his puzzler has come to be known as “Fermi’s Paradox.” The paradox persists because there still isn’t a single verified piece of evidence for extraterrestrials, and this despite hundreds of millions of dollars spent searching for them.
Of course, the situation is only puzzling if we assume nature burps up living planets and intelligent life as effortlessly as Michigan highways breed potholes in spring. Fermi’s Paradox dissolves if one assumes that a living planet like ours is extraordinarily rare, perhaps even unique. The problem is that such an explanation runs afoul of a principle cherished by many cosmologists, known as the mediocrity principle. According to this idea, not only are we not the center of the universe, we aren’t special in any way, and to think otherwise is egotistical superstitious benighted Medieval nonsense.
Many opponents of Christianity cherish the mediocrity principle because it undercuts the Judeo-Christian belief that humans are special, the crown of God’s creation. But even some anti-religious materialists have nevertheless abandoned the mediocrity principle, for one or both of two reasons.
First, there is mounting evidence planets like Earth may be highly unusual, requiring as they do a long list of fortuitously fine-tuned parameters to support life. Second, even with a habitable planet to work with, nature faces the daunting challenge of conjuring a planet’s first life from non-life. Before you can invoke a Darwinian process of random mutation and natural selection, you first need a self-reproducing biological entity, and it’s increasingly clear that even the simplest such cell is extraordinarily sophisticated. How does a lifeless mix of chemicals in a primordial ocean toss together something like that? If it is even possible, it is a freak occurrence, like winning a multi-million-dollar lottery forty years in a row without anyone gaming the system.
The ET Enlightenment Myth
So, then, maybe we are the only intelligent creatures in the universe, a freak one-off in the history of the cosmos. Some conclude this and go even further to insist that we are utterly alone, without even a God in heaven to fill the void of cosmic loneliness.
Yes, pretty dark, and I would guess, a pretty unpopular position, perhaps because humans are strongly attracted to the idea that some sort of wise savior figure is out there — if not, God, then ancestral spirits or pagan gods or, in a contemporary incarnation, superhumanly wise and powerful ETs. The films 2001: A Space Odyssey (1968) and Contact (1997) are just two of the many science fiction stories that trade on this theme.
In Unbelievable: 7 Myths about the History and Future of Science and Religion, historian of science Michael Keas dedicates a chapter to what he calls the “ET enlightenment myth.” He says the cultural loss of faith in a creator God has left a void, and “the ET enlightenment myth now fills that void for many people.”
The Search for Alien Artifacts
Between those animated by this ET salvation myth and those who are simply curious about what is out there among all the billions of stars in the universe, there is a lot of interest in seeing if we have the means and the ingenuity to uncover evidence of extra-terrestrials. To that end, Space.com recently published a piece by Paul Sutter, “If Aliens Have Visited the Solar System, Here’s How to Find Clues They Left.” Sutter shifts the focus from the longstanding Search for Extraterrestrial Intelligence (SETI) to a companion strategy:
So far, all searches for extraterrestrial life have come up empty. But there is another avenue that is relatively unexplored: the search for extraterrestrial artifacts (SETA). The idea behind this approach is that if aliens become advanced enough, they might want to explore the galaxy.… In the roughly 4.5-billion-year history of the solar system, these aliens would have had plenty of time to swing by our neighborhood and maybe leave a mark.
Sutter then distills a recent paper in which astronomers describe various types of alien remnants we might be able to discover, including “spacecraft, probes and even just trash,” either in space or on the surface of a planet or moon.
How would we tell a piece of ET tech from a natural space object? In many cases it might be a no-brainer, but not necessarily. For instance, it could be a fragment of advanced technology so foreign to ours that we wouldn’t immediately recognize it as technology. And we might have to decide from only a grainy telescopic photograph of the object.
Nevertheless, Sutter is confident there are many ways we might detect ET artifacts or their aftermath. For instance, any spacecraft able to travel from a distant star system would possess an extraordinarily powerful propulsion system, potentially rendering its exhaust trail visible to the James Webb Space Telescope or the Chandra X-ray Observatory. Alternately, “If aliens opened up a strip mine on Mercury, for example, we would still be able to see it today.” “Or… we may be able to find geochemical anomalies — the result of tinkering with chemical processes on a world (or just outright pollution).”
Hunting for ET artifacts may sound fringe, but it’s being pursued by mainstream astronomers.
SETI, SETA, and Design Detection
Set aside the question of whether such pursuits are money well spent. Consider instead a significant feature of both SETA and SETI. SETI got a major PR boost from the movie Contact, based on a novel by astronomer Carl Sagan. SETI employs radio telescopes to search the heavens for signals from extra-terrestrial civilizations.
In Contact, a scientist detects a curious signal from the star system Vega, one that repeats a sequence of prime numbers. While the scenario is fictional, it conveys how SETI could readily determine if a signal was indeed from an alien intelligence rather than purely natural, such as the regular radio wave pulses emitted by a neutron star. A signal that embedded a long series of prime numbers isn’t something natural processes can generate. It’s an instance of complex specified information. If the signal embedded the same number over and over, it wouldn’t be complex — e.g., 3, 3, 3, 3, 3, etc. If it embedded a random series of numbers, it wouldn’t be specified. That is, it wouldn’t match an obvious purpose or preexisting pattern. The series of prime numbers embedded in the signal in Contact, however, does. It’s both specified and complex. In our experience, the creation of specified complexity — also known as complex specified information — is strictly the purview of intelligent agents, who, unlike natural processes, routinely generate such information in the form of novels, poems, text messages, software programs, and other artifacts.
There is much to explore in the logical steps involved in reasoning to intelligent design as the best explanation in such cases, but the gist of it runs like this: both reason and our uniform experience strongly suggest that natural processes do not and cannot produce specified complexity. The one type of cause we have ever witnessed doing so is creative intelligence. So creative intelligence is the best explanation when we find examples of it.
Strategies for differentiating extra-terrestrial artifacts from natural objects involve similar reasoning. Recall that Sutter says we might discover an ET artifact by looking for “geochemical anomalies — the result of tinkering with chemical processes on a world.” How would we know if a geochemical anomaly was the result of ET activity? Presumably by considering various explanations for the anomalies, both natural and artificial. If the anomalies are beyond the reach of natural processes to produce and possess the signature of intelligent design — that is, specified complexity — the researchers could reasonably infer that the geochemical anomalies were the product of intelligent design.
The Elephant in the Room
Both SETA and SETI share something in common with the theory of intelligent design (ID). They are searching for evidence of the past creative activity of extra-terrestrial intelligence. The principal difference is that ID researchers do so without question-begging constraints on their search. If nature itself possesses the signature of intelligent activity, so be it. Follow the evidence. Contemporary microscopic technology has uncovered molecular biological machines of astonishing sophistication, far beyond our most advanced technologies. Even the simplest cell capable of self-reproduction is a nanotech factory that puts our most advanced factories to shame, and it requires reams of precisely sequenced biological information, much of it found in the four-character alphabet of DNA.
Physicist and engineer Brian Miller points out that mainstream systems biology operates on the working assumption that biological systems are optimally engineered systems. Many systems biologists, he says, pay lip service to evolutionary theory, but they don’t approach the biological systems they study as contraptions thrown together by mindless natural forces. They approach them as masterpieces of engineering, an approach that is proving extraordinarily fruitful.
Miller offers an analogy. Imagine that what appears to be a highly advanced alien spacecraft is discovered abandoned in the desert. It’s quite different from our spaceships, right down to the materials used in it. Half the scientists who arrive to study it refuse to believe it’s an alien spacecraft and insist instead that it originated through purely natural processes — rain, wind, erosion, perhaps an odd volcanic eruption. The other half decides that, no, it really is an alien spacecraft, and they set about trying to understand how the various parts are meant to contribute to its overall function. Which group, Miller asks, do you think will make better progress toward understanding the alien craft? The group, of course, who recognize that it’s the work of intelligent and purposive design
The same goes for biology. Those practicing systems biology are making much more progress than those committed to the old, reductionist Darwinian approach.
Intelligent design biologists are in the camp of the systems biologists, but where they stand out from rank-and-file systems biologists is in adapting the design rubric frankly and wholeheartedly. That is, they are convinced that treating biological systems as works of high-tech engineering is proving fruitful precisely because the biological systems really are the work of high-tech engineering, in this case, an extra-terrestrial intelligence far beyond any depicted in Contact or 2001: A Space Odyssey.
Wednesday, 5 July 2023
Darwinists: did we say a tree? What we meant was..
Evolutionists Walk it Back Again: Human Evolution is More a Muddy Delta Than a Branching Tree
First it was a tree, then it was a bush, then it was a network, and now it is a muddy delta. The evolutionary model of how the species are supposed to be related has failed over and over. And John Hawks’ latest version of this moving target reveals yet again that the theory of evolution is not explanatory, and that the evidence contradicts the theory. Hawks explains that the latest thinking on how the primates evolved “is no evolutionary tree. Our evolutionary history is like a braided stream.”
Evolution is a blind guide—it is always wrong. It is always pointing in the wrong direction, and evolutionists are always having to walk it back and do their damage control.
When will they learn?
On design and "evolution"
Peer-Reviewed Paper by Discovery Institute Staff Evaluates Synthesis of “Design and Evolution”
We are pleased to announce the publication of a peer-reviewed open-access article by CSC staff members Stephen Dilley, Brian Miller, Emily Reeves, and myself. Published in the journal Religions, our article is titled “On the Relationship Between Design and Evolution,” and it examines and reviews a scholarly book, The Compatibility of Evolution and Design (Palgrave Macmillan / 2021), which is arguably the best current treatment of the relationship between evolution and intelligent design from an evolutionary point of view. The book is written by E. V. Rope Kojonen, a theologian at the University of Helsinki, who offers a potent argument that mainstream evolutionary biology is fully compatible with a robust biological design argument. On his view, the wings of the hummingbird, for example, display evidence of design while also being the product of natural selection, random mutation, and other processes — all without the need for direct guidance, divine intervention, or intelligent supervision per se.
We regard Kojonen’s model as nuanced, erudite, and fair-minded. It is a model of fine scholarship and deserves serious attention. Even so, we argue that Kojonen’s conception of design is flawed, as is his attempt to harmonize design with evolution. We support our contentions with both scientific and philosophical arguments. Scientifically, we provide perhaps the most comprehensive defense of Douglas Axe’s research written to date as well as an updated analysis of the bacterial flagellum. Philosophically, we argue that Kojonen’s model undercuts itself. It gives an account of “design detection” that actually conflicts with Kojonen’s own design argument.
A Question about Compatibility
The abstract of the article is as follows:
A longstanding question in science and religion is whether standard evolutionary models are compatible with the claim that the world was designed. In The Compatibility of Evolution and Design, theologian E. V. Rope Kojonen constructs a powerful argument that not only are evolution and design compatible, but that evolutionary processes (and biological data) strongly point to design. Yet Kojonen’s model faces several difficulties, each of which raise hurdles for his understanding of how evolution and design can be harmonized. First, his argument for design (and its compatibility with evolution) relies upon a particular view of nature in which fitness landscapes are “fine-tuned” to allow proteins to evolve from one form to another by mutation and selection. But biological data run contrary to this claim, which poses a problem for Kojonen’s design argument (and, as such, his attempt to harmonize design with evolution). Second, Kojonen appeals to the bacterial flagellum to strengthen his case for design, yet the type of design in the flagellum is incompatible with mainstream evolutionary theory, which (again) damages his reconciliation of design with evolution. Third, Kojonen regards convergent evolution as notable positive evidence in favor of his model (including his version of design), yet convergent evolution actually harms the justification of common ancestry, which Kojonen also accepts. This, too, mars his reconciliation of design and evolution. Finally, Kojonen’s model damages the epistemology that undergirds his own design argument as well as the design intuitions of everyday “theists on the street”, whom he seeks to defend. Thus, despite the remarkable depth, nuance, and erudition of Kojonen’s account, it does not offer a convincing reconciliation of “design” and “evolution”.
A Flawed Account of Design
We’ll have more to say here about this model in the coming weeks, but for now, it’s worth taking a look at some of the main points from our paper’s conclusion:
In this article, we argued that Kojonen’s account of design is flawed. It requires fine-tuned preconditions (and smooth fitness landscapes) so that evolution can successfully search and build viable biological forms. Yet empirical evidence shows that no such preconditions or fitness landscapes exist. At precisely the place we would expect to find evidence of Kojonen’s type of “design”, we find no such thing. Accordingly, his view of design is at odds with the evidence itself. As such, it is poorly situated to add explanatory value to evolution.
We also contended that Kojonen’s conjunction of “design” and “evolution” is internally fragmented. Recall that Kojonen believes that the complexity of the bacterial flagellum adds to his case for joining “design” to “evolution”. Yet Behe’s irreducible complexity argument shows that the type of design manifest in the bacterial flagellum runs contrary to mainstream evolution. Thus, the very system that provides strong evidence of design also undercuts evolution. In effect, this drives a wedge between the two. Kojonen’s conjunction of “design and evolution” is at war with itself.
We also highlighted the internal tension in Kojonen’s attempt to join “design” and “evolution” with respect to convergent evolution. Kojonen draws on convergence as a key argument for the “laws of form”, which are an important element of fine-tuned preconditions and, thus, his case for design. Yet convergent evolution conflicts with Kojonen’s use of co-option and approach to protein evolution. It also conflicts with the general justification of common ancestry. Thus, this element of Kojonen’s case for design chafes against his own reasoning as well as mainstream evolutionary thought. Internal discord surfaces once again.
In each of these criticisms, we have not targeted evolutionary theory itself. Although we believe that the scientific evidence we have covered counters mainstream evolution, we have set this concern aside in this article. Instead, our criticisms are aimed at Kojonen’s conception of design. We have contended that he does not offer sufficient empirical support for it — and so it adds little explanatory merit to “evolution” — and that some of the evidence he does offer actually conflicts with his commitment to evolution, producing incoherence within his model. (We should note, however, that because of the way Kojonen frames the matter, our criticisms of his view of design do have negative implications for the feasibility of evolutionary theory as he understands it. But this is an implication of our argument based on his own framing. It is not the focus of our argument per se. We will return to this point momentarily.)
Finally, we raised epistemological concerns aimed at the fundamental basis of Kojonen’s understanding of design detection. If our concerns are correct, then they cut deeply against Kojonen’s design argument as well as his defense of the theist on the street. In a nutshell, our worry is that a person who takes Kojonen’s model seriously — or who lived in such a universe — would either have defeaters for her biology-based design beliefs or might not have the cognitive dispositions and beliefs that (in our experience) are foundational to the formation of such beliefs in the first place. Kojonen’s reliance on evolution (and non-agent causes) undermines his basis for design detection, in short.
Stepping back, it is important to reiterate, once again, the many strengths of Kojonen’s treatment. The extensive review we have given here is a credit to a book of remarkable sophistication, precision, and erudition. Only a venerable fortress is worthy of a long siege. The Compatibility of Evolution and Design is the best of its class.
Devastating Implications for Evolution
But there’s one more point worth highlighting about Kojonen’s model. He effectively concedes that evolution won’t work to produce biological complexity unless there is some special “fine-tuning” of the “preconditions” for evolution (which themselves arise from designed laws of nature). We might agree with this framing but we have shown that this fine-tuning does not seem to exist. Therefore not only is his case for marrying design and evolution flawed but — if there are no such preconditions — then evolution itself is impotent. Here’s how we frame this in the final paragraph:
Even so, we bring this article to a close on a poignant note: Kojonen’s model may have devastating implications for mainstream evolutionary theory. Recall that the heart of his proposal is that evolution needs design (in the form of fine-tuned preconditions). Evolution on its own is insufficient to produce flora and fauna. But if we are correct that Kojonen’s conception and justification of design are flawed, then it follows — by his own lights — that evolution is impotent to explain biological complexity. Kojonen’s own account of the efficacy of evolution depends upon the success of his case for design. But if the latter stumbles, then so does the former. In a startling way, Kojonen has set the table for the rejection of evolution. If he has failed to make his case for design, then he has left readers with strong reasons to abandon mainstream evolutionary theory. The full implications of this striking result warrant further exploration.
Despite our critique of Kojonen’s model, we find it stimulating and thoughtful. We invite interested readers of Evolution News to read our article and also to read The Compatibility of Evolution and Design.
Darwinism does not compute?
On Evolutionary Computation
Roman V. Yampolskiy
Editor’s note: Dr. Yampolskiy is Associate Professor in the department of Computer Engineering and Computer Science at the Speed School of Engineering, University of Louisville. In this series, he asks: “What Can and Can’t Darwin’s Algorithm Compute?” See also yesterday’s post, the first in the series, “What Can and Can’t Darwin’s Algorithm Compute?“
Inspired by Darwin’s theory1 of biological evolution, evolutionary computation attempts to automate the process of optimization and problem solving by simulating differential survival and reproduction of individual solutions. From the early 1950s, multiple well-documented attempts to make Darwin’s algorithm work on a computer have been published under such names as Evolutionary Programming12, Evolutionary Strategies13, Genetic Algorithms14, Genetic Programming15, Genetic Improvement16, Gene Expression Programming17, Differential Evolution18, Neuroevolution19, and Artificial Embryogeny20. While numerous variants different in their problem representation and metaheuristics exist21-24, all can be reduced to just two main approaches — Genetic Algorithm (GA) and Genetic Programming (GP).
GAs are used to evolve optimized solutions to a particular instance of a problem such as Shortest Total Path25, Maximum Clique26, Battleship27, Sudoku28, Mastermind23, Light Up29, Graph Coloring30, integer factorization31, 32, or efficient halftone patterns for printers33, and so are not the primary focus of this paper. GPs’ purpose, from their inception, was to automate programming by evolving an algorithm or a program for solving a particular class of problems, for example an efficient34 search algorithm. Software design is the type of application most frequently associated with GPs35, but work in automated programming is also sometimes referred to as “real programing,” “object-oriented GP,” “algorithmic programming,” “program synthesis,” “traditional programming,” “Turing Equivalent (TE) programming” or “Turing-complete GP”36-38.
Tremendous Growth
The sub-field of computation, inspired by evolution in general, and the Genetic Programing paradigm, established by John Koza in 1990s, in particular are thriving and growing exponentially. This is evidenced both by the number of practitioners and of scientific publications. Petke et al. observe “…enormous expansion of number of publications with the Genetic Programming Bibliography passing 10,000 entries … By 2016 there were nineteen GP books including several intended for students …”16. Such tremendous growth has been fueled, since the early days, by belief in the capabilities of evolutionary algorithms, and our ability to overcome obstacles of limited computational power or data as illustrated by the following comments:
“We will (before long) be able to run genetic algorithms on computers that are sufficiently fast to recreate on a human timescale the same amount of cumulative optimization power that the relevant processes of natural selection instantiated throughout our evolutionary past … ”39
“As computational devices improve in speed, larger problem spaces can be searched.”40
“Evolution is a slow learner, but the steady increase in computing power, and the fact that the algorithm is inherently suited to parallelization, mean that more and more generations can be executed within practically acceptable timescales.”41
“We believe that in about fifty years’ time it will be possible to program computers by means of evolution. Not merely possible but indeed prevalent.”42
“The relentless iteration of Moore’s law promises increased availability of computational resources in future years. If available computer capacity continues to double approximately every 18 months over the next decade or so, a computation requiring 80 h will require only about 1% as much computer time (i.e., about 48 min) a decade from now. That same computation will require only about 0.01% as much computer time (i.e., about 48 seconds) in two decades. Thus, looking forward, we believe that genetic programming can be expected to be increasingly used to automatically generate ever-more complex human-competitive results.”43
“The production of human-competitive results as well as the increased intricacy of the results are broadly correlated to increased availability of computing power tracked by Moore’s law. The production of human-competitive results using genetic programming has been greatly facilitated by the fact that genetic algorithms and other methods of evolutionary computation can be readily and efficiently parallelized. … Additionally, the production of human-competitive results using genetic programming has facilitated to an even greater degree by the increased availability of computing power, over a period of time, as tracked by Moore’s law. Indeed, over the past two decades, the number and level of intricacy of the human-competitive results has progressively grown. … [T]here is, nonetheless, data indicating that the production of human-competitive results using genetic programming is broadly correlated with the increased availability of computer power, from year to year, as tracked by Moore’s Law.”43
“[P]owerful test data generation techniques, an abundance of source code publicly available, and importance of nonfunctional properties have combined to create a technical and scientific environment ripe for the exploitation of genetic improvement.”40
Tomorrow, “State-of-the-Art in Evolutionary Computation.”
References:
Back, T., Evolutionary algorithms in theory and practice: evolution strategies, evolutionary programming, genetic algorithms. 1996: Oxford university press.
Mayr, E., Behavior Programs and Evolutionary Strategies: Natural selection sometimes favors a genetically” closed” behavior program, sometimes an” open” one. American scientist, 1974. 62(6): p. 650-659.
Davis, L., Handbook of genetic algorithms. 1991: Van Nostrand Reinhold.
Koza, J.R., Genetic programming as a means for programming computers by natural selection. Statistics and computing, 1994. 4(2): p. 87-112.
Petke, J., et al., Genetic improvement of software: a comprehensive survey. IEEE Transactions on Evolutionary Computation, 2017.
Ferreira, C., Gene expression programming: mathematical modeling by an artificial intelligence. Vol. 21. 2006: Springer.
Storn, R. and K. Price, Differential evolution–a simple and efficient heuristic for global optimization over continuous spaces. Journal of global optimization, 1997. 11(4): p. 341-359.
Such, F.P., et al., Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning. arXiv preprint arXiv:1712.06567, 2017.
Stanley, K.O. and R. Miikkulainen, A taxonomy for artificial embryogeny. Artificial Life, 2003. 9(2): p. 93-130.
Yampolskiy, R.V., L. Ashby, and L. Hassan, Wisdom of Artificial Crowds—A Metaheuristic Algorithm for Optimization. Journal of Intelligent Learning Systems and Applications, 2012. 4(2): p. 98-107.
Yampolskiy, R.V. and A. El-Barkouky, Wisdom of artificial crowds algorithm for solving NP-hard problems. International Journal of Bio-inspired computation, 2011. 3(6): p. 358-369.
Khalifa, A.B. and R.V. Yampolskiy, GA with Wisdom of Artificial Crowds for Solving Mastermind Satisfiability Problem. Int. J. Intell. Games & Simulation, 2011. 6(2): p. 12-17.
Lowrance, C.J., O. Abdelwahab, and R.V. Yampolskiy. Evolution of a Metaheuristic for Aggregating Wisdom from Artificial Crowds. in Portuguese Conference on Artificial Intelligence. 2015. Springer.
Hundley, M.V. and R.V. Yampolskiy, Shortest Total Path Length Spanning Tree via Wisdom of Artificial Crowds Algorithm, in The 28th Modern Artificial Intelligence and Cognitive Science Conference (MAICS2017). April 28-29, 2017: Fort Wayne, IN, USA.
Ouch, R., K. Reese, and R.V. Yampolskiy. Hybrid Genetic Algorithm for the Maximum Clique Problem Combining Sharing and Migration. in MAICS. 2013.
Port, A.C. and R.V. Yampolskiy. Using a GA and Wisdom of Artificial Crowds to solve solitaire battleship puzzles. in Computer Games (CGAMES), 2012 17th International Conference on. 2012. IEEE.
Hughes, R. and R.V. Yampolskiy, Solving Sudoku Puzzles with Wisdom of Artificial Crowds. Int. J. Intell. Games & Simulation, 2012. 7(1): p. 24-29.
Ashby, L.H. and R.V. Yampolskiy. Genetic algorithm and Wisdom of Artificial Crowds algorithm applied to Light up. in Computer Games (CGAMES), 2011 16th International Conference on. 2011. IEEE.
Hindi, M. and R.V. Yampolskiy. Genetic Algorithm Applied to the Graph Coloring Problem. in MAICS. 2012.
Yampolskiy, R.V., Application of bio-inspired algorithm to the problem of integer factorisation. International Journal of Bio-Inspired Computation, 2010. 2(2): p. 115-123.
Mishra, M., S. Pal, and R. Yampolskiy, Nature-Inspired Computing Techniques for Integer Factorization. Evolutionary Computation: Techniques and Applications, 2016: p. 401.
Yampolskiy, R., et al. Printer model integrating genetic algorithm for improvement of halftone patterns. in Western New York Image Processing Workshop (WNYIPW). 2004. Citeseer.
Yampolskiy, R.V., Efficiency Theory: a Unifying Theory for Information, Computation and Intelligence. Journal of Discrete Mathematical Sciences and Cryptography, 2013. 16(4-5): p. 259-277.
Rylander, B., T. Soule, and J. Foster. Computational complexity, genetic programming, and implications. in European Conference on Genetic Programming. 2001. Springer.
White, D.R., et al., Better GP benchmarks: community survey results and proposals. Genetic Programming and Evolvable Machines, 2013. 14(1): p. 3-29.
Woodward, J.R. and R. Bai. Why evolution is not a good paradigm for program induction: a critique of genetic programming. in Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation. 2009. ACM.
Helmuth, T. and L. Spector. General program synthesis benchmark suite. in Proceedings of the 2015 Annual Conference on Genetic and Evolutionary Computation. 2015. ACM.
Shulman, C. and N. Bostrom, How hard is artificial intelligence? Evolutionary arguments and selection effects. Journal of Consciousness Studies, 2012. 19(7-8): p. 103-130.
Becker, K. and J. Gottschlich, AI Programmer: Autonomously Creating Software Programs Using Genetic Algorithms. arXiv preprint arXiv:1709.05703, 2017.
Eiben, A.E. and J. Smith, From evolutionary computation to the evolution of things. Nature, 2015. 521(7553): p. 476.
Orlov, M. and M. Sipper, FINCH: A system for evolving Java (bytecode), in Genetic Programming Theory and Practice VIII. 2011, Springer. p. 1-16.
Koza, J.R., Human-competitive results produced by genetic programming. Genetic Programming and Evolvable Machines, 2010. 11(3-4): p. 251-284.
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