
Research Diaries: Looking for the Emergence of Complex Behavior through Low-level rules and Memetics
Investigating the underlying mechanisms of memetics and collective intelligence through FlatWorld's 2D environment.
Read moreInvestigating the underlying mechanisms of memetics and collective intelligence through FlatWorld's 2D environment.
Read moreJakob Foerster's grant work proposes to build a scalable environment aimed at achieving turing-complete computation.
Read moreJulian Togelius's new game-based benchmarks to measure and improve open-ended learning, task transfer, and generalization for game AI.
Read moreAn overview of research findings from the 2022 ICLR workshop exploring the cumulative nature of culture across disciplines.
Read moreGoodAI grantee Sebastian Risi will conduct research to optimize neural cellular automata (NCA) to grow neural networks.
Read moreDeveloping "curious" AI agents to autonomously discover and learn a diversity of structures and skills in their environments.
Read moreEvolution doesn't produce specific solutions to specific environmental problems. It produces problem solving machines. Machines that can solve problems in other spaces.
Read moreWhy are we studying social learning in multi-agent systems?
Read moreThe 2022 workshop, “From Cells to Societies: Collective Learning Across Scales,” will examine natural systems to understand how collective interactions can contribute to new learning approaches in artificial learning systems.
Read moreWendelin Böhmer investigates how restricted neural modules, similar to Badger agents, can learn generalizing sub-tasks and how a message passing architecture can reliably compose their output for out-of-distribution generalization.
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