Information Intelligent Design

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 […]

Complex Specified Information Information Intelligent Design

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 […]

Artificial Intelligence Intelligent Design Media Mind

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 […]

Computing, AI, Cybernetics and Mechatronics Design inference Intelligent Design

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 […]

Artificial Intelligence Intelligent Design Mind Probability

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 […]