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The document discusses the development of neural networks for controlling simulated agents, emphasizing a developmental process that allows networks to evolve based on experience rather than being pre-specified. This approach aims to enhance cognitive capabilities by enabling agents to adapt to their environments and learn complex behaviors over time. The paper outlines the methods used to create these developmental networks and their potential implications for understanding cognition and artificial intelli

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irenakrissy7087

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