Dexa/Machine Learning Street Talk (MLST)

Evolution of Complexity

Julian and Ken discuss the concept of increasing information in natural evolution, divergent searches in machine learning, and the accumulation of abilities over generations. They explore the idea of interestingness and the arrow of complexity in uncovering new possibilities.

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Machine Learning Street Talk (MLST)
#81 JULIAN TOGELIUS, Prof. KEN STANLEY - AGI, Games, Diversity & Creativity [UNPLUGGED]
Related Questions
- Why is seeking complexity important?
- Why is seeking complexity important in the episode Computational Life: How Self-Replicators Arise from Randomness, with Google’s Researchers and the clip Complexity and Order?