TagWilliam A. Dembski
What’s the Relation Between Intelligence and Information?
The fundamental intuition of information as narrowing down possibilities matches up neatly with the concept of intelligenceThe key intuition behind the concept of information is the narrowing of possibilities. The more that possibilities are narrowed down, the greater the information. If I tell you I’m on planet Earth, I haven’t conveyed any information because you already knew that (let’s leave aside space travel). If I tell you I’m in the United States, I’ve begun to narrow down where I am in the world. If I tell you I’m in Texas, I’ve narrowed down my location further. If I tell you I’m forty miles north of Dallas, I’ve narrowed my location down even further. As I keep narrowing down my location, I’m providing you with more and more information. Information is therefore, in its essence, exclusionary: the more Read More ›
Can Informational Realism Help Sort Out the Mind–Body Problem?
According to William Dembski, informational realism asserts that the ability to exchange information is the defining feature of reality
The Primacy of Information Over Matter
In this episode, host Michael Egnor continues a conversation with Dr. William Dembski, a senior fellow at Discovery Institute’s Center for Science and Culture, about the relationship between the mind and the body. Dembski argues that if information is considered fundamental rather than matter, it dissolves the mind-body problem. He suggests that information is not constrained by the speed of Read More ›
William Dembski on Information and the Mind-Body Relationship
On this episode, host Michael Egnor speaks with Bill Dembski about the concept of information and its role in understanding the mind-body relationship. Dembski explains that information is a verb, representing the narrowing of possibilities and the constraining of contingency. He discusses how information can be understood in different contexts and how it relates to concepts such as meaning and communication. Read More ›
When ChatGPT Talks Science
Can AI ever transcend its trained biases?
Design versus Naturalist Origin Theories of Animal Algorithms
The programming inside the animal brain is much like a game of Jenga. If one tries to pull the wrong block, then the entire stack comes crashing down. Robert J. Marks and Eric Cassell discuss how animal algorithms serve as the perfect example of irreducible complexity. Show Notes Additional Resources