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.
Swain, Ramakrushna; Mohanty, Prasant Kumar; and kamila, N.K.
"Metacognition using classifier system: A step approaching intelligent agents,"
International Journal of Computer and Communication Technology: Vol. 1:
2, Article 7.
Available at: https://www.interscience.in/ijcct/vol1/iss2/7