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CLARION (cognitive architecture) : ウィキペディア英語版 | CLARION (cognitive architecture) Connectionist Learning with Adaptive Rule Induction On-line (CLARION) is a cognitive architecture that has been used to simulate several tasks in cognitive psychology and social psychology, as well as implementing intelligent systems in artificial intelligence applications. An important feature of CLARION is the distinction between implicit and explicit processes and focusing on capturing the interaction between these two types of processes. The system was created by the research group led by Ron Sun. == Overview of CLARION == CLARION is an integrative architecture, consisting of a number of distinct subsystems, with a dual representational structure in each subsystem (implicit versus explicit representations). Its subsystems include the action-centered subsystem, the non-action-centered subsystem, the motivational subsystem, and the meta-cognitive subsystem.
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「CLARION (cognitive architecture)」の詳細全文を読む
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