ID-friendly philosopher Eric Holloway wrote ID As A Bridge Between Francis Bacon And Thomas Aquinas here, which garnered a lot of attention. But in science fiction, he turns his attention to the consequences of a materialist vs. a non-materialist interpretation of the human mind.
Tag: Eric Holloway
Eric Holloway: Friendly AI would kill us all
Our friendly godbot, Alfalfa and Omega would feel constrained to take such an action by the superior logic of its programming.
Eric Holloway: No materialist theory of consciousness is plausible
He says all such theories either deny the very thing they are trying to explain, result in absurd scenarios, or end up requiring an immaterial intervention.
Eric Holloway: With infinite data, AI would not outperform a human with finite data
Because the halting problem is undecideable
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 Read More…
Eric Holloway: Strong Artificial Intelligence Must Be Possible! Really…?
He argues that many arguments for strong artificial intelligence depend on an ideological commitment to explicit, unproven theories about the universe.
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 Read More…
Eric Holloway: Atheists, agnostics more skeptical of evolution now
The editors of the new journal, Communications of the Blyth Institute, are looking for contributors with expertise in the relevant areas.
Plato’s Library: Why information is the true source of new wealth
Jonathan Bartlett explains the relationship between information and prosperity as set out in Eric Holloway’s new paper: our ability to “read from Plato’s Library” of new ideas provides us with an ever-growing supply of
side information that powers the economy.
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 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 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 Read More…
AI and pop music: Can simple probabilities outperform deep learning?
Haebichan Jung tells us that he built an original pop music-making machine “that could rival deep learning but with simpler solutions.” Deep learning “is a subfield of machine learning concerned with algorithms inspired by the structure and function of the brain called artificial neural networks.” (Jason Brownlee, Machine Learning Mastery) Jung tells us that he Read More…