Eric Holloway
Eric Holloway: Scanning my brain, playing Tetris, shows true AI is impossible
Eric Holloway’s latest short story: Mindtrap
ID-themed science fiction explores mind-matter collision
Eric Holloway: Friendly AI would kill us all
Eric Holloway: No materialist theory of consciousness is plausible
Eric Holloway: With infinite data, AI would not outperform a human with finite data
It is possible to demonstrate that AI will never think as humans do
Based on what we know of how algorithms work, it can be demonstrated mathematically that algorithms cannot deal with non-computable concepts: There is another way to prove a negative besides exhaustively enumerating the possibilities With artificial general intelligence (AGI), if we can identify something algorithms cannot do, and show that humans can do it then we’ve falsified the AGI position without running an infinite number of experiments across all possible algorithms. Eric Holloway, “The Flawed Logic behind “Thinking” Computers, Part II” at Mind Matters If Eric is correct, a great deal of the hype we hear in media is based not only on improbable concepts (the usual stuff) but impossible ones. See, for example, Top Ten AI hypes of 2018 Read More ›
Eric Holloway: Strong Artificial Intelligence Must Be Possible! Really…?
An information theory argument for the value of human beings
From Eric Holloway, based on creativity: Because creativity is unique to humans and irreducible, all human beings have the ability in principle. The fact that a particular human being’s creativity is not in use or is perhaps unusable at present does not mean that that person does not have the ability. Consequently, all humans have at least latent intrinsic instrumental value. Eric Holloway, “The Creative Spark” at Mind Matters See also: Will artificial intelligence design artificial super-intelligence? and Human intelligence as a halting oracle Follow UD News at Twitter!
Eric Holloway: Atheists, agnostics more skeptical of evolution now
Plato’s Library: Why information is the true source of new wealth
Eric Holloway: How can we measure meaningful information?
Neither randomness nor order alone create meaning. So how can we identify communications in a scientifically meaningful way? Dropping a handful of toothpicks on the table seems to produce a different sort of pattern than spelling out a word with toothpicks. Surprisingly, this intuitive distinction is harder to make in math and the sciences. Algorithmic specified complexity (ASC) enables us to distinguish them. Neither Shannon information nor Kolmogorov complexity work well for this purpose. This leads us to a third concept, algorithmic specified complexity (ASC). ASC solves the problem by combining the two measures. ASC states that an event has a high amount of information if it has both low probability and a concise description. This matches our intuition much Read More ›
New journal: The human mind from a computer science perspective
The Blyth Institute’s new journal will offer a focus on artificial intelligence and philosophy as well as philosophical questions in mathematics and engineering The Blyth Institute, a think tank that explores the relationships between biology, cognitive science, and engineering, has launched a new journal, Communications of the Blyth Institute with Eric Holloway as Managing Editor and Jonathan Bartlett as Associate Editor. Communications is intended as a discussion forum for fresh ideas in a variety of areas, including philosophy of mind as seen from a computer science perspective. It is open to ID-friendly ideas. The inaugural issue covers such topics as Eric Holloway, Creativity and Machines, 13 Jonathan Bartlett, Simplifying and Refactoring Introductory Calculus, 17 T. M. Koch, Recategorizing the Human Read More ›
Does information theory support design in nature?
Eric Holloway argues at Mind Matters that design theorist William Dembski makes a convincing case, using accepted information theory principles relevant to computer science: When I first began to look into intelligent design (ID) theory while I was considering becoming an atheist, I was struck by Bill Dembski’s claim that ID could be demonstrated mathematically through information theory. A number of authors who were experts in computer science and information theory disagreed with Dembski’s argument. They offered two criticisms: that he did not provide enough details to make the argument coherent and that he was making claims that were at odds with established information theory. In online discussions, I pressed a number of them, including Jeffrey Shallit, Tom English, Joe Read More ›