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Evolution of a predictive internal model in an embodied and situated agent
2011
Theory in biosciences
We show how simulated robots evolved for the ability to display a context-dependent periodic behavior can spontaneously develop an internal model and rely on it to fulfill their task when sensory stimulation is temporarily unavailable. The analysis of some of the best evolved agents indicates that their internal model operates by anticipating sensory stimuli. More precisely, it anticipates functional properties of the next sensory state rather than the exact state that sensors will assume. The
doi:10.1007/s12064-011-0128-x
pmid:21604186
fatcat:s3s7ztteobcrdlzu7lxf5o4q4e