Anticipatory Behavior in Adaptive Learning Systems: Foundations, Theories, and Systems (Lecture Notes in Computer Science, #2684) (Lecture Notes in Artificial Intelligence, #2684)

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The matter of anticipation is, as the editors of this volume state in their preface, a rathernewtopic. Giventhealmostconstantusewemakeofanticipationin our dailyliving,itseemsoddthatthebulk ofpsychologistshavepersistentlyignored it. However, the reason for this disregard is not di?cult to ?nd. The dogma of the scienti?c revolution had from the outset laid down the principle that future conditions and events could not in?uence the present. The law of causation clearly demands that causes should precedetheir e?ects and, therefore,concepts such as purpose, anticipation, and even intention were taboo because they were thought to involve things and happenings that lay ahead in time. An analysis of the three concepts - purpose, anticipation, and intention - shows that they are rooted in the past and transcend the present only insofar as they contain mental representations of things to be striven for or avoided. Purposiveorgoal-directedactioncouldbe circumscribedasactioncarriedoutto attain something desirable. In each case, the particular action is chosenbecause, in the past, it has more or less reliably led to the desired end.
The only way the future is involved in this procedure is through the belief that the experiential worldmanifestssomeregularityandallowsthelivingorganismtoanticipatethat what has workedin the past will continue to work in the future. This belief does not have to be conscious. Skinner's rats continued to turn left in a maze where theleftarmhadbeenbaited. Theydidsobecausethemeatpelletthey foundthe ?rst time had "reinforced" them to repeat the turn to the left.
  • ISBN10 3540450025
  • ISBN13 9783540450023
  • Publish Date 1 September 2006 (first published 9 July 2003)
  • Publish Status Active
  • Publish Country US
  • Imprint Springer
  • Format eBook
  • Language English