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The design of Metacognition based Optimal Decision Making Mechanism

  • Journal of Software Assessment and Valuation
  • Abbr : JSAV
  • 2023, 19(4), pp.151-158
  • DOI : 10.29056/jsav.2023.12.15
  • Publisher : Korea Software Assessment and Valuation Society
  • Research Area : Engineering > Computer Science
  • Received : December 11, 2023
  • Accepted : December 20, 2023
  • Published : December 31, 2023

Jeong Yon Shim 1

1강남대학교

Accredited

ABSTRACT

Recently, there has been growing interest in research on metacognition, the ability to self-regulate by monitoring one's thoughts. Metacognition is a concept that encompasses the study of memory monitoring and self-regulation, recognition and autonomous consciousness, meta-inferential consciousness, and self-consciousness. It maximizes the potential ability to learn and think by noticing and thinking about self-awareness to solve problems or complete tasks. Efficiency can be achieved by shortening the time it takes. In the era of artificial intelligence, building a clear and efficient artificial intelligence system requires high-level mechanism design that introduces higher-level concepts such as metacognition. Therefore, in this study, we introduced the concept of metacognition to build an efficient system and designed a metacognition-based knowledge inference system that can influence the knowledge inference process, selection, and decision-making. Metacognition is designed to control the operating level through V gauge control. A knowledge inference thread extraction experiment was applied to the problem area and tested, and changes in selection results according to metacognitive V gauge adjustment were examined.

Citation status

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