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Category: Artificial Intelligence

ToA Episode 43: Deep Reinforcement Learning
Critical Rationalism

ToA Episode 43: Deep Reinforcement Learning

Posted on April 22, 2022April 22, 2022 by Bruce Nielson

In this video upload available on Spotify (we’ll try this once and see how it’s received), we revisit Reinforcement Learning (from way back in episode…

Episode 39: Byrne’s Methodology for Discovering Animal Insight (part 3)
Artificial Intelligence

Episode 39: Byrne’s Methodology for Discovering Animal Insight (part 3)

Posted on January 25, 2022February 15, 2022 by Bruce Nielson

In episode 39, Richard Byrne has spent his whole career trying to determine when animals learned to ‘think.’ We discuss Richard Byrne’s methodology for determining…

Theory of Anything 37: Animal Intelligence and Knowledge Creation (part 1)
Artificial Intelligence

Theory of Anything 37: Animal Intelligence and Knowledge Creation (part 1)

Posted on December 14, 2021February 15, 2022 by Bruce Nielson

How intelligent are animals? In this episode, we introduce our series on animal intelligence rooted primarily in the research of Richard Byrne. Richard Byrne (mentioned…

Why Induction *Can* be the Basis for Conjecture (Sort of) – Part 2
Critical Rationalism

Why Induction *Can* be the Basis for Conjecture (Sort of) – Part 2

Posted on November 11, 2021January 3, 2022 by Bruce Nielson

I previously posted about Deutsch’s argument to Eli Tyre about why induction can’t be the basis for conjecture. And I agreed with that argument. But,…

Why Induction Can’t be the Basis for Conjecture (according to Deutsch) – Part 1
Artificial Intelligence

Why Induction Can’t be the Basis for Conjecture (according to Deutsch) – Part 1

Posted on November 4, 2021November 4, 2021 by Bruce Nielson

Deutsch gives a great concise answer to the question of why conjectures are not rooted in induction. (See video here.) The Setup: Eli Tyre starts…

Theory of Anything Podcast 34: Alpha Go and Creativity
Computation

Theory of Anything Podcast 34: Alpha Go and Creativity

Posted on November 2, 2021November 1, 2021 by Bruce Nielson

In this episode, we review Alpha Go: The Movie. This is an amazing documentary worth watching before we spoil it for you in this review.…

Theory of Anything Podcast 28: Reinforcement Learning and Q-Learning
Machine Learning

Theory of Anything Podcast 28: Reinforcement Learning and Q-Learning

Posted on August 10, 2021August 9, 2021 by Bruce Nielson

Reinforcement Learning is a machine learning algorithm that is a ‘general purpose learner’ (with certain important caveats). It generated a lot of excitement with its…

A Diagram of Universal Darwinism
Artifical General Intelligence

A Diagram of Universal Darwinism

Posted on August 3, 2021August 1, 2021 by Bruce Nielson

Josh Levent, after listening to our podcast episodes on universal darwinism (part 1, part2), created the following diagram in an attempt to capture the basic…

Theory of Anything 26: Is Universal Darwinism the Sole Source of Knowledge?
Artificial Intelligence

Theory of Anything 26: Is Universal Darwinism the Sole Source of Knowledge?

Posted on July 13, 2021August 1, 2021 by Bruce Nielson

Donald Campbell made the bold prediction that all expansions of knowledge will be found to require the Universal Darwinism algorithm of variation and selection. In…

Theory of Anything 25: Does Artificial Intelligence Create Knowledge?
Artificial Intelligence

Theory of Anything 25: Does Artificial Intelligence Create Knowledge?

Posted on June 29, 2021August 1, 2021 by Bruce Nielson

In The Beginning of Infinity, David Deutsch claimed that no existing evolutionary algorithm has yet created knowledge. But Karl Popper and Donald Campbell beg to…

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Exploring the theories and implications of David Deutsch’s “Four Strands” which are our four deepest scientific theories that, when taken together, are a theory of everything including philosphy, morality, and beauty.

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  • ToA Episode 43: Deep Reinforcement Learning
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