Chapter
The Potential of Evolutionary Computation, with Michael Littman
50:42 - 54:11 (03:29)
Michael Littman discusses the potential of evolutionary computation and the need for incorporating dating mechanisms like marriage into the process to encourage weak selection, more crossover, larger populations and a new type of creativity.
Clips
Crossover is a crucial process in biological evolution, but it differs from the transition from single agents to societies.
50:42 - 52:34 (01:52)
Summary
Crossover is a crucial process in biological evolution, but it differs from the transition from single agents to societies. The shift to more complex systems could involve higher levels of selection and a greater level of shared resources.
ChapterThe Potential of Evolutionary Computation, with Michael Littman
Episode#177 – Risto Miikkulainen: Neuroevolution and Evolutionary Computation
PodcastLex Fridman Podcast
The field of evolution computation has been around for 50 years, but in the last two decades, it has evolved to incorporate statistical tools to guide mutations.
52:34 - 54:11 (01:37)
Summary
The field of evolution computation has been around for 50 years, but in the last two decades, it has evolved to incorporate statistical tools to guide mutations. To bring it closer to biological evolution, researchers suggest adding more patient and diverse selection mechanisms that incorporate mating and dating mechanisms instead of relying solely on mutation.