Stabilizing environments to facilitate planning and activity: an engineering argument
作者： Timothy M. Converse , Kristian J. Hammond
DOI:
关键词: Computer science 、 Artificial intelligence 、 Cognitive science 、 Period (music) 、 Argument
摘要: An underlying assumption of research on learning from planning and activity is that agents can exploit regularities they find in the world. For interact with a world over an extended period time, there another possibility: exploited be created maintained, rather than discovered. We explore ways which actively stabilize to increase predictability tractability acting within it.
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