Metacognition using classifier system: A step approaching intelligent agents | Zendy

Ramakrushna Swain | Zendy; Prasant Mohanty | Zendy; Narendra Kumar Kamila | Zendy

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Metacognition using classifier system: A step approaching intelligent agents

Author(s) -

Ramakrushna Swain,

Prasant Mohanty,

Narendra Kumar Kamila

Publication year - 2010

Publication title -

international journal of computer and communication technology

Language(s) - English

Resource type - Journals

eISSN - 2231-0371

pISSN - 0975-7449

DOI - 10.47893/ijcct.2010.1034

Subject(s) - metacognition , computer science , cognition , classifier (uml) , artificial intelligence , probabilistic logic , software , lida , cognitive robotics , fuzzy cognitive map , cognitive science , cognitive model , human–computer interaction , machine learning , fuzzy logic , fuzzy control system , psychology , neuro fuzzy , neuroscience , embodied cognition , programming language

Meta-cognition allows one to monitor and adaptively control cognitive processes. It guides people to select, evaluate, revise, and abandon cognitive tasks, goals, and strategies. Also, meta-cognition can play an important role in human-like software agents. It includes meta-cognitive knowledge, meta cognitive monitoring, and meta cognitive regulation. The main purpose of this research paper is to understand the principles of natural minds and adopt these principles to simulate artificial minds. We consider the conscious software agent, “CMattie” which has its cognitive science side (cognitive modelling) as well as its computer science side (intelligent software). We describe the incorporation of meta cognition in CMattie using fuzzy classifier system including Genetic algorithm and Probabilistic approaches. Keywords— Meta cognition, Cognitive functionality, classifier system, SDM, Fuzzy Perception

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