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Dynamic Data and Multi-Agent Systems
This chapter explores the complexities of dynamic data representation and multi-agent systems in machine learning through the analogy of evolving cellular structures. It emphasizes the challenges of performance measurement, the contrast between continual learning and traditional methods, and the innovative approach of Lenia in understanding emergent behavior.