Artificial Intelligence Revs Up Evolution’s Clock

Point of Discovery

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Evolutionary biologists never have enough time. Some of the most mysterious behaviors in the animal kingdom—like parenting—evolved over thousands of years, if not longer. Human lifespans are just too short to sit and observe such complex behaviors evolve. But computer scientists are beginning to offer clues by using artificial intelligence to simulate the life and death of thousands of generations of animals in a matter of hours or days. It’s called computational evolution.

One behavior that’s long baffled biologists is called mobbing, in which a gang of hyenas team up to steal prey from much more powerful lions. When UT Austin computer scientists Risto Miikkulainen and Padmini Rajagopalan simulated hyenas and lions on a virtual African savannah, they found something surprising.

Watch a video of real-life hyenas mobbing (courtesy of Michigan State U.): https://youtu.be/Rs7AXFa4sN0

Read more: Evolution of Complex Coordinated Behavior (July 2020)
https://www.cs.utexas.edu/users/ai-lab/downloadPublication.php?filename=http://nn.cs.utexas.edu/downloads/papers/rajagopalan.cec2020.pdf&pubid=127822

Music for today’s show was produced by:
• Podington Bear - https://www.podingtonbear.com/
• Pogmothoin (a.k.a. Tom Griffin) - https://freesound.org/people/pogmothoin/

Photo credit: Stephanie Dloniak.

About Point of Discovery

Point of Discovery is a production of the University of Texas at Austin's College of Natural Sciences. You can listen to all our episodes at @point-of-discovery .

Questions or comments about this episode, or our series in general? Email Marc Airhart at mairhart[AT]austin.utexas.edu

About Point of Discovery

Point of Discovery is a production of the University of Texas at Austin's College of Natural Sciences and is a part of the Texas Podcast Network. The opinions expressed in this podcast represent the views of the hosts and guests, and not of The University of Texas at Austin. You can listen via Apple Podcasts, Spotify, RSS, Amazon Podcasts, and more. Questions or comments about this episode or our series in general? Email Marc Airhart.

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