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Artificial intelligence: Machines do not see objects as wholes

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Mistaking a teapot shape for a golf ball, due to surface features, is one striking example from a recent open-access paper:

The networks did “a poor job of identifying such items as a butterfly, an airplane and a banana,” according to the researchers. The explanation they propose is that “Humans see the entire object, while the artificial intelligence networks identify fragments of the object.” News, “Researchers: Deep Learning vision is very different from human vision” at Mind Matters

“To see life steadily and see it whole”* doesn’t seem to be popular among machines.

*(Zen via Matthew Arnold)

See also: Can an algorithm be racist?

Comments
Besides the inability of reductive materialist to be able to give an reasonable account for why the universe, or any object within the universe, may have the precise structure, shape, and/or form that it does, the ‘bottom up’ reductive materialistic framework of Darwinian evolution is found to be grossly inadequate for explaining how any particular organism might achieve its basic form.
Darwinism vs Biological Form – video https://www.youtube.com/watch?v=JyNzNPgjM4w
"Bottom up' reductive materialistic explanations of Darwinists simply don't have the capacity within themselves to explain why any particular organism may take the precise shape and/or form that it does. As Stephen Meyer stated, "the information needed to code for complex biological systems vastly outstrips the information in DNA".
"Since the 1980s, developmental and cell biologists such as Brian Goodwin, Wallace Arthur, Stuart Newman, Fred Nijhout, and Harold Franklin have discovered or analyzed many sources of epigenetic information. Even molecular biologists such as Sidney Brenner, who pioneered the idea that genetic programs direct animal development, now insist that the information needed to code for complex biological systems vastly outstrips the information in DNA." [S. Meyer, ‘Darwin’s Doubt’, Ch.14]
The following gives us a small glimpse as to just how far "the information needed to code for complex biological systems vastly outstrips the information in DNA." In the following video, it is noted that the information to build a human infant, atom by atom, would take up the equivalent of enough thumb drives to fill the Titanic, multiplied by 2,000.
In a TED Talk, (the Question You May Not Ask,,, Where did the information come from?) - November 29, 2017 Excerpt: Sabatini is charming.,,, he deploys some memorable images. He points out that the information to build a human infant, atom by atom, would take up the equivalent of enough thumb drives to fill the Titanic, multiplied by 2,000. Later he wheels out the entire genome, in printed form, of a human being,,,,: [F]or the first time in history, this is the genome of a specific human, printed page-by-page, letter-by-letter: 262,000 pages of information, 450 kilograms.,,, https://evolutionnews.org/2017/11/in-a-ted-talk-heres-the-question-you-may-not-ask/
And the following video states that "There are 10^28 atoms in the human body.,, The amount of data contained in the whole human,, is 3.02 x 10^32 gigabytes of information. Using a high bandwidth transfer, that data would take about 4.5 x 10^18 years to teleport 1 time. That is 350,000 times the age of the universe."
Will Teleportation Ever Be Possible? - video - 2013 https://youtu.be/yfePpMTbFYY?t=76 Quote from video: "There are 10^28 atoms in the human body.,, The amount of data contained in the whole human,, is 3.02 x 10^32 gigabytes of information. Using a high bandwidth transfer that data would take about 4.5 x 10^18 years to teleport 1 time. That is 350,000 times the age of the universe." If we forget about recognizing atoms and measuring their velocities and just scale that to a resolution of one-atomic length in each direction that's about 10^32 bits (a one followed by thirty two zeros). This is so much information that even with the best optical fibers conceivable it would take over one hundred million centuries to transmit all that information!,,, (A fun talk on teleportation - Professor Samuel Braunstein - http://www-users.cs.york.ac.uk/~schmuel/tport.html
Obviously that staggering amount of 'programming information' that specifies what form and/or shape an organism may take cannot possibly be stored in the embryonic cell, nor can it be stored, least of all, in the DNA sequences as is presupposed in the reductive materialistic premises of Darwinian evolution, but this staggering amount of information specifying what form and/or shape an organism may take must be coming into the developing embryo 'from the outside'. To back up that obvious conclusion, at about the 41:00 minute mark of the following video, Dr. Wells, using a branch of mathematics called category theory, demonstrates that, during embryological development, information must somehow be added to the developing embryo, ‘from the outside’, by some ‘non-material’ method.
Design Beyond DNA: A Conversation with Dr. Jonathan Wells – video (41:00 minute mark) – January 2017 https://youtu.be/ASAaANVBoiE?t=2484
The following article adds weight to Dr Wells assessment and states: "the process of development should be thought of as being controlled by an “algebraic structure outside space-time itself”
Intelligent Design and the Advancement of Science - Brian Miller - December 11, 2017 Excerpt: DNA was expected to be the primary source of causality behind the operation and development of life. Such beliefs have previously raised concerns from leading scientists and mathematicians. For instance, physicist Walter Elsasser argued that the unfathomable complexity of the chemical and physically processes in life was “transcomputational” — beyond the realm of any theoretical means of computation. Moreover, the development of the embryo is not solely directed by DNA. Instead, it requires new “biotonic” principles. As a result, life cannot be reduced to chemistry and physics. An unbridgeable gap separates life from non-life. Similarly, mathematician René Thom argued that the 3D patterns of tissues in an organism’s development from egg to birth and their continuous transformation cannot be understood in terms of isolating the individual proteins generated by DNA and other molecules produced in cells. The problem is that the individual “parts” composing tissues and organs only take on the right form and function in the environment of those tissues and organs. More recent work by Denis Noble further has elucidated how every level of the biological hierarchy affects every other level, from DNA to tissues to the entire organism. Based partly on these insights, Thom concluded in his book Structural Stability and Morphogenesis that the process of development should be thought of as being controlled by an “algebraic structure outside space-time itself” (p. 119). Likewise, Robert Rosen argued that life can only be understood as a mathematical abstraction consisting of functional relationships, irreducible to mechanistic processes. He observed that life is fundamentally different from simple physics and chemistry. It embodies the Aristotelian category of final causation, which is closely related to the idea of purpose. The conclusions of these scholars challenge materialistic philosophy at its core. https://evolutionnews.org/2017/12/intelligent-design-and-the-advancement-of-science/
To provide further evidence for information coming into the developing embryo from ‘outside space-time itself’, it is also important to note that quantum correlations somehow arise from outside spacetime, in the sense that no story in space and time can describe them,,,
Looking beyond space and time to cope with quantum theory – 29 October 2012 Excerpt: “Our result gives weight to the idea that quantum correlations somehow arise from outside spacetime, in the sense that no story in space and time can describe them,” http://www.quantumlah.org/highlight/121029_hidden_influences.php
And these quantum correlations which somehow arise from outside spacetime, are now found in molecular biology on a massive scale. In every DNA and Protein molecule,,,
Darwinian Materialism vs Quantum Biology - video https://www.youtube.com/watch?v=LHdD2Am1g5Y
Thus in conclusion, whereas Darwinian evolution is found to be grossly inadequate for explaining how any particular organism might achieve its basic form and/or shape, the Christian Theist is sitting very comfortable in his claim that God has formed each of us in our mother’s womb. Verses:
Psalm 139:13-14 For You formed my inward parts; You covered me in my mother’s womb. I will praise You, for I am fearfully and wonderfully made; Marvelous are Your works, And that my soul knows very well. Jeremiah 1:5 “Before I formed you in the womb I knew you, before you were born I set you apart; I appointed you as a prophet to the nations.” Psalm 139:13 For you created my inmost being; you knit me together in my mother's womb. James 2:26 As the body without the spirit is dead, so faith without deeds is dead. Matthew 16:26 For what is a man profited, if he shall gain the whole world and lose his own soul? Or what shall a man give in exchange for his soul?
bornagain77
January 9, 2019
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Doubter states,,
It looks as if the “deep learning networks” weren’t trained for the situations the investigators explored. Perhaps if the networks were trained in such a way that they were presented with deliberately confusing images such as the investigators used, they would of necessity develop overall shape discrimination ability.
Not too long ago I might have been inclined to say the same thing, but as I have learned more about the profound differences between mind and materialistic processes, today I would be much more inclined to believe this 'problem of seeing wholes' for computers is far more intractable than someone would be inclined to believe at first glance. As Michael Egnor stated, "Your computer doesn’t know a binary string from a ham sandwich. "
"Your Computer Doesn't Know Anything" - Michael Egnor (January 23, 2015). . Your computer doesn’t know a binary string from a ham sandwich. Your math book doesn’t know algebra. Your Rolodex doesn’t know your cousin’s address. Your watch doesn’t know what time it is. Your car doesn’t know where you’re driving. Your television doesn’t know who won the football game last night. Your cell phone doesn’t know what you said to your girlfriend this morning. People know things. Devices like computers and books and Rolodexes and watches and cars and televisions and cell phones don’t know anything. They don’t have minds. http://afterall.net/quotes/michael-egnor-on-what-your-computer-doesnt-know/
Simply put, computers don't do context. A subjective immaterial mind is required in order to take an overall context of a given situation into consideration. For prime example, Richard Dawkin’s infamous Weasel phrase, (which Dawkins used to try to prove the feasibility of evolutionary processes, and which William Dembski debunked), simply does not make any sense without taking its proper context into consideration
A Meaningful World: How the Arts and Sciences Reveal the Genius of Nature – Book Review Excerpt: They focus instead on what “Methinks it is like a weasel” really means. In isolation, in fact, it means almost nothing. Who said it? Why? What does the “it” refer to? What does it reveal about the characters? How does it advance the plot? In the context of the entire play, and of Elizabethan culture, this brief line takes on significance of surprising depth. The whole is required to give meaning to the part. http://www.thinkingchristian.net/C228303755/E20060821202417/
This 'problem of seeing wholes' and/or the 'problem of discerning contexts' for materialistic processes is far more problematic than many people realize at first glance. This 'problem of discerning contexts' is clearly illustrated by programs that seek to translate languages. As the following expert put it, "ambiguities at the lexical (word) level,,,, required "holistic interpretation."
What Is a Mind? More Hype from Big Data - Erik J. Larson - May 6, 2014 Excerpt: In 1979, University of Pittsburgh philosopher John Haugeland wrote an interesting article in the Journal of Philosophy, "Understanding Natural Language," about Artificial Intelligence. At that time, philosophy and AI were still paired, if uncomfortably. Haugeland's article is one of my all time favorite expositions of the deep mystery of how we interpret language. He gave a number of examples of sentences and longer narratives that, because of ambiguities at the lexical (word) level, he said required "holistic interpretation." That is, the ambiguities weren't resolvable except by taking a broader context into account. The words by themselves weren't enough. Well, I took the old 1979 examples Haugeland claimed were difficult for MT, and submitted them to Google Translate, as an informal "test" to see if his claims were still valid today.,,, ,,,Translation must account for context, so the fact that Google Translate generates the same phrase in radically different contexts is simply Haugeland's point about machine translation made afresh, in 2014. Erik J. Larson - Founder and CEO of a software company in Austin, Texas http://www.evolutionnews.org/2014/05/what_is_a_mind085251.html
In the following article, Erik J. Larson gives a simple example of something requiring "holistic interpretation" that would be irresolvable by extant AI systems:
Yes, "We've Been Wrong About Robots Before," and We Still Are - Erik J. Larson - November 12, 2014 Excerpt: Take this statement, originally from computer scientist Hector Levesque (it also appears in Nicholas Carr's 2014 book about the dangers of automation, The Glass Cage): "The large ball crashed right through the table because it was made of Styrofoam. What was made of Styrofoam, the large ball or the table?" Watson would not perform well in answering this question, nor would Deep Blue. In fact there are no extant AI systems that have a shot at getting the right answer here, because it requires a tiny slice of knowledge about the actual world. Not "data" about word frequencies in languages or GPS coordinates or probability scoring of next-best chess moves or canned questions to canned answers in Jeopardy. It requires what AI researches call "world knowledge" or "common sense knowledge.",, Having real knowledge about the world and bringing it to bear on our everyday cognitive problems is the hallmark of human intelligence, but it's a mystery to AI scientists, and has been for decades.,,, Given that minds produce language, and that there are effectively infinite things we can say and talk about and do with language, our robots will seem very, very stupid about commonsense things for a very long time. Maybe forever. http://www.evolutionnews.org/2014/11/yes_weve_been_w091071.html
In the following video Pastor Joe Boot, although he is talking about the universe as a whole, illustrates the insurmountable problem that ‘context dependency’ places on reductive materialistic explanations:
“If you have no God, then you have no design plan for the universe. You have no preexisting structure to the universe.,, As the ancient Greeks held, like Democritus and others, the universe is flux. It’s just matter in motion. Now on that basis all you are confronted with is innumerable brute facts that are unrelated pieces of data. They have no meaningful connection to each other because there is no overall structure. There’s no design plan. It’s like my kids do ‘join the dots’ puzzles. It’s just dots, but when you join the dots there is a structure, and a picture emerges. Well, the atheists is without that (final picture). There is no pre-established pattern (to connect the facts given atheism).” - Defending the Christian Faith – Pastor Joe Boot – 13:20 minute mark - video http://www.youtube.com/watch?v=wqE5_ZOAnKo
And Pastor Joe Boot's observation that materialists have no overarching design plan 'to connect the dots' is now rigorously established as a valid principle. Specifically, Gödel’s incompleteness theorem, which can be stated as such, “Anything you can draw a circle around cannot explain itself without referring to something outside the circle—something you have to assume but cannot prove”,,,
Gödel’s incompleteness theorem (1931), proves that there are limits to what can be ascertained by mathematics. Kurt Gödel (ref. on cite), halted the achievement of a unifying all-encompassing theory of everything in his theorem that: “Anything you can draw a circle around cannot explain itself without referring to something outside the circle—something you have to assume but cannot prove”. Cf., Stephen Hawking & Leonard Miodinow, The Grand Design (2010)
Gödel’s incompleteness theorem,,,, has now been extended to physics. In the following article entitled ‘Quantum physics problem proved unsolvable: Gödel and Turing enter quantum physics’, which studied the derivation of macroscopic properties from a complete microscopic description, the researchers remark that even a perfect and complete description of the microscopic properties of a material is not enough to predict its macroscopic behaviour.,,, The researchers further commented that their findings challenge the reductionists’ point of view, as the insurmountable difficulty lies precisely in the derivation of macroscopic properties from a microscopic description.”
Quantum physics problem proved unsolvable: Gödel and Turing enter quantum physics – December 9, 2015 Excerpt: A mathematical problem underlying fundamental questions in particle and quantum physics is provably unsolvable,,, It is the first major problem in physics for which such a fundamental limitation could be proven. The findings are important because they show that even a perfect and complete description of the microscopic properties of a material is not enough to predict its macroscopic behaviour.,,, “We knew about the possibility of problems that are undecidable in principle since the works of Turing and Gödel in the 1930s,” added Co-author Professor Michael Wolf from Technical University of Munich. “So far, however, this only concerned the very abstract corners of theoretical computer science and mathematical logic. No one had seriously contemplated this as a possibility right in the heart of theoretical physics before. But our results change this picture. From a more philosophical perspective, they also challenge the reductionists’ point of view, as the insurmountable difficulty lies precisely in the derivation of macroscopic properties from a microscopic description.” http://phys.org/news/2015-12-quantum-physics-problem-unsolvable-godel.html
To put it mildly, this is not a minor failing of the Darwinist’s reductive materialistic worldview. Besides, as witnessed by the abject failure of the inflationary model, i.e. the inability of reductive materialist to be able to give an reasonable account for why the universe, or any object within the universe, may have the precise structure, shape, and/or form that it does,
Space is all the same temperature. Coincidence? Distant patches of the universe should never have come into contact. So how come they’re all just as hot as each other? - 26 October 2016 Excerpt: Cosmologists try to explain this uniformity using the hypothesis known as inflation. It replaces the simple idea of a big bang with one in which there was also a moment of exponential expansion. This sudden, faster-than-light increase in the size of the universe allows it to have started off smaller than an atom, when it would have had plenty of time to equalise its temperature. “On the face of it, inflation is a totally bonkers idea – it replaces a coincidence with a completely nonsensical vision of what the early universe was like,” says Andrew Pontzen at University College London. https://www.newscientist.com/article/mg23230970-900-cosmic-coincidences-everythings-at-the-same-temperature/ Cosmic inflation is dead, long live cosmic inflation - 25 September 2014 Excerpt: (Inflation) theory, the most widely held of cosmological ideas about the growth of our universe after the big bang, explains a number of mysteries, including why the universe is surprisingly flat and so smoothly distributed, or homogeneous.,,, Paul Steinhardt of Princeton University, who helped develop inflationary theory but is now scathing of it, says this is potentially a blow for the theory, but that it pales in significance with inflation's other problems. Meet the multiverse Steinhardt says the idea that inflationary theory produces any observable predictions at all – even those potentially tested by BICEP2 – is based on a simplification of the theory that simply does not hold true. "The deeper problem is that once inflation starts, it doesn't end the way these simplistic calculations suggest," he says. "Instead, due to quantum physics it leads to a multiverse where the universe breaks up into an infinite number of patches. The patches explore all conceivable properties as you go from patch to patch. So that means it doesn't make any sense to say what inflation predicts, except to say it predicts everything. If it's physically possible, then it happens in the multiverse someplace Steinhardt says the point of inflation was to explain a remarkably simple universe. "So the last thing in the world you should be doing is introducing a multiverse of possibilities to explain such a simple thing," he says. "I think it's telling us in the clearest possible terms that we should be able to understand this and when we understand it it's going to come in a model that is extremely simple and compelling. And we thought inflation was it – but it isn't." http://www.newscientist.com/article/dn26272-cosmic-inflation-is-dead-long-live-cosmic-inflation.html?page=1#.VCajrGl0y00 How do we know the universe is flat? Discovering the topology of the universe – by Fraser Cain – June 7, 2017 Excerpt: With the most sensitive space-based telescopes they have available, astronomers are able to detect tiny variations in the temperature of this background radiation. And here’s the part that blows my mind every time I think about it. These tiny temperature variations correspond to the largest scale structures of the observable universe. A region that was a fraction of a degree warmer become a vast galaxy cluster, hundreds of millions of light-years across. The cosmic microwave background radiation just gives and gives, and when it comes to figuring out the topology of the universe, it has the answer we need. If the universe was curved in any way, these temperature variations would appear distorted compared to the actual size that we see these structures today. But they’re not. To best of its ability, ESA’s Planck space telescope, can’t detect any distortion at all. The universe is flat.,,, Since the universe is flat now, it must have been flat in the past, when the universe was an incredibly dense singularity. And for it to maintain this level of flatness over 13.8 billion years of expansion, in kind of amazing. In fact, astronomers estimate that the universe must have been flat to 1 part within 1×10^57 parts. Which seems like an insane coincidence. - per physorg Why We Need Cosmic Inflation By Paul Sutter, Astrophysicist | October 22, 2018 Excerpt: As best as we can measure, the geometry of our universe appears to be perfectly, totally, ever-so-boringly flat. On large, cosmic scales, parallel lines stay parallel forever, interior angles of triangles add up to 180 degrees, and so on. All the rules of Euclidean geometry that you learned in high school apply. But there’s no reason for our universe to be flat. At large scales it could’ve had any old curvature it wanted. Our cosmos could’ve been shaped like a giant, multidimensional beach ball, or a horse-riding saddle. But, no, it picked flat. https://www.space.com/42202-why-we-need-cosmic-inflation.html
bornagain77
January 9, 2019
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It looks as if the "deep learning networks" weren't trained for the situations the investigators explored. Perhaps if the networks were trained in such a way that they were presented with deliberately confusing images such as the investigators used, they would of necessity develop overall shape discrimination ability. These training images would be pictures of objects where the surface has an image of something else. I don't think the limitation in deep learning networks discovered by the investigators is some sort of fundamental limitation of AI. "Recognizing" objects by their shape under a lot of varying conditions should be achievable by AI, but this is no indication that AI can achieve any form of self aware consciousness.doubter
January 8, 2019
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