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achieved action activation Adaptive agent's behavior algorithms approach artificial evolution artificial intelligence autonomous agents avoid-obstacle basic brain Braitenberg vehicles cell changes chapter charging station cheap design classical collision complete agent complex connections control architecture design principles desired behaviors discussed dynamics ecological balance ecological niche embodied agents embodied cognitive science emergent evolutionary evolved example experiments exploited figure finite state machines focus function goal Hebbian learning human idea implemented information processing input interaction internal involved issues large number layer loosely coupled processes low-level specification machine mechanisms memory module motor system move natural neural networks neurons nodes object obstacle ontology output particular perspective physical problem psychology real robots real world redundancy reinforcement learning result self-organization sensors sensory-motor coordination signals simple simulation structure subsumption architecture supervised learning task environment term thinking tion Turing turn types value system visual
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