ISSN:
1572-8641
Schlagwort(e):
Representation
;
cognitive architecture
;
concepts
;
machine learning
;
game playing
Quelle:
Springer Online Journal Archives 1860-2000
Thema:
Informatik
,
Philosophie
Notizen:
Abstract The extent to which concepts, memory, and planning are necessary to the simulation of intelligent behavior is a fundamental philosophical issue in Artificial Intelligence. An active and productive segement of the AI community has taken the position that multiple low-level agents, properly organized, can account for high-level behavior. Empirical research on these questions with fully operational systems has been restricted to mobile robots that do simple tasks. This paper recounts experiments with Hoyle, a system in a cerebral, rather than a physical, domain. The program learns to perform well and quickly, often outpacing its human creators at two-person, perfect information board games. Hoyle demonstrates that a surprising amount of intelligent behavior can be treated as if it were situation-determined, that often planning is unnecessary, and that the memory required to support this learning is minimal. Concepts, however, are crucial to this reactive program's ability to learn and perform.
Materialart:
Digitale Medien
URL:
http://dx.doi.org/10.1007/BF02454222
Permalink