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Santa Fe Institute

Artificial Life, Open-Ended Evolution, and the Origins of Biological Complexity

Santa Fe Institute via YouTube

Overview

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Explore the evolution of complex traits and behaviors in digital organisms during this one-hour lecture from the Santa Fe Institute. Delve into research examining how digital populations evolve new levels of complexity, addressing issues of novelty, diversity, ecological effects, and major evolutionary transitions. Investigate how specific environmental conditions affect the accumulation of information used to encode complex traits. Learn about efforts to build artificial life systems as rich and open-ended as the natural world. Examine comparisons to experimental evolution, Boolean logic treatment functions, and methods for tracking evolution in digital worlds. Discover insights into Darwin's recognized challenges to evolutionary theory and how modern research addresses them. Consider the impact of limited resource supply on evolutionary processes. Gain a deeper understanding of artificial life, open-ended evolution, and the origins of biological complexity through this comprehensive exploration.

Syllabus

Intro
My thought process...
How is evolutio.
How is evolution Open-Ended?
Evolution is hard to study!
Digital Organisms
Comparisons to Experimental Evolution
Charles Darwin (1859) recognized three major challenges to his theories about evolution
Boolean Logic Treatment Functions Rewarded
Tracking Evolution in a Digital World
Examining the Line of Descent
Mapping the Phenotype of an Organism
Details about 67 EQU Runs
Darwin was, of course, correct
What if we limit resource supply?
Acknowledgements

Taught by

Santa Fe Institute

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