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Ethology / Neuropsychological assessment / Cognition / Learning / Cognitive science / Classical conditioning / Motivation / Rescorla–Wagner model / Perception / Experimental psychology / Mind / Psychology


Using an Ethologically-Inspired Model to Learn Apparent Temporal Causality for Planning in Synthetic Creatures Rob ert Burke Bruce Blumb erg
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Document Date: 2002-10-28 23:00:50

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File Size: 470,11 KB

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San Mateo / Sidney / Seattle / Detroit / Bologna / London / Bradford / /

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Cambridge University Press / MIT Press / C&T Publishing / Stimuli A Stimulus / Harvard University Press / Synthetic Characters Group / Ames / Russell / Learning for Interactive Synthetic Characters / /

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United States / Italy / Australia / United Kingdom / /

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Oxford University / /

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handheld device / computational systems / machine learning algorithms / reactive systems / food source / food reinforcer / biological systems / pressed causes food / dot product / simplest unique solution / food sources / predicted food / food / /

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The Media / /

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Cambridge University / Media Lab / Harvard University / MIT Media Lab / Animal Intelligence / MIT / Organization of Learning / Turku Centre for Computer Science / Oxford University / /

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Whitman Richards / Burke Bruce Blumb / Randy Gallistel / Autonomic Variables / Morgan Kaufmann / /

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Occam / /

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California / Massachusetts / /

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Psychological Review / Computer Graphics / Journal of Personality and Social Psychology / /

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machine learning algorithms / artificial intelligence / /

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