BIOLOGICAL LEARNING AND ARTIFICIAL INTELLIGENCE
Christian Balkenius · CogPrints (University of Southampton) · 1994
Abstract: It was once taken for granted that learning in animals and man could be explained with a simple set of general learning rules, but over the last hundred years, a substantial amount of evidence has been accumulated that points in a quite different direction. In animal learning theory, the laws of learning are no longer considered general. Instead, it has been necessary to explain behaviour in terms of a large set of interacting learning mechanisms and innate behaviours. Artificial intelligence is now on the edge of making the transition from general theories to a view of intelligence that is based on an amalgamate of interacting systems. In the light of the evidence from animal learning theory, such a transition is to be highly desired. 1.