Emergence in Machine Learning
Tim, Julian, and Kenneth delve into the layers of abstraction in machine learning, discussing how emergent phenomena occur at different levels, challenging the notions of specialization and generalization. They explore the complexity of population-driven algorithms and the balance between individual agents and ecosystem dynamics.In this clip
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Machine Learning Street Talk (MLST)
#81 JULIAN TOGELIUS, Prof. KEN STANLEY - AGI, Games, Diversity & Creativity [UNPLUGGED]
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