The editors of the new journal, Communications of the Blyth Institute, are looking for contributors with expertise in the relevant areas.
Tag: Eric Holloway
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 […]
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 […]
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 […]
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 […]