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O_o

@johnnymrb.bsky.social did:plc:4nbxymsqyq5dn475h4wpv7c5

✨ Communauté Francophone 🇨🇵 Passionnés de Crypto, Web3, Blockchain, NFT, Tokenomics et IA, bienvenue ! Des formations sur les projets crypto sont en préparation. Abonnez-vous et restez connectés pour tout savoir ! 🚀👾 #Crypto #Blockchain #Web3 #Formation

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O_o (@johnnymrb.bsky.social) es un usuario de Bluesky que se unió el 29 noviembre 2024. Tiene 95 seguidores, sigue a 17 cuentas y ha publicado 24 posts.

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  • Dr. Emily Dolson@emilydolson.bsky.social

    Je voudrais recorder plus videos! Mon francais est mauvaise, mais peut-etre un challenge amusante!

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  • Dr. Emily Dolson@emilydolson.bsky.social

    That's what we investigated here! We created an environment with three tasks chosen such that we expected Markov Brains to be the best representation for one, Cartesian Genetic Programming to be the best representation for another, and neural networks to not be great at either. 6/n

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  • Dr. Emily Dolson@emilydolson.bsky.social

    Getting this specialization to happen can be challenging, though. Additionally, based on the earlier results, it's probably not reasonable to assume that all the different sub-problems share an optimal problem solution representation. Can we take advantage of the 2nd problem to solve the 1st? 5/n

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  • Dr. Emily Dolson@emilydolson.bsky.social

    Max noticed a way to expand this idea to evolutionary swarm robotics, specifically evolution of controllers for heterogenous swarms. A potential benefit of heterogeneous swarms is the possibility of different controllers specializing on different sub-components of the swarm's overall goal. 4/n

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  • Dr. Emily Dolson@emilydolson.bsky.social

    A few years ago, some folks including @cliffbohm.bsky.social showed that different representations are better for different problems. Moreover, they showed that if you let evolution chose among representations, it will mix and match and choose whichever is best link.springer.com/chapter/10.1... 3/n

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