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@article{ART003025778},
author={Jeong Yon Shim},
title={The design of Metacognition based Optimal Decision Making Mechanism},
journal={Journal of Software Assessment and Valuation},
issn={2092-8114},
year={2023},
volume={19},
number={4},
pages={151-158},
doi={10.29056/jsav.2023.12.15}

TY - JOUR
AU - Jeong Yon Shim
TI - The design of Metacognition based Optimal Decision Making Mechanism
JO - Journal of Software Assessment and Valuation
PY - 2023
VL - 19
IS - 4
PB - Korea Software Assessment and Valuation Society
SP - 151
EP - 158
SN - 2092-8114
AB - 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.
KW - Metacognition;Knowledge Inference Thread;Data extraction;KN;Emotional energy
DO - 10.29056/jsav.2023.12.15
ER -

Jeong Yon Shim. (2023). The design of Metacognition based Optimal Decision Making Mechanism. Journal of Software Assessment and Valuation, 19(4), 151-158.

Jeong Yon Shim. 2023, "The design of Metacognition based Optimal Decision Making Mechanism", Journal of Software Assessment and Valuation, vol.19, no.4 pp.151-158. Available from: doi:10.29056/jsav.2023.12.15

Jeong Yon Shim "The design of Metacognition based Optimal Decision Making Mechanism" Journal of Software Assessment and Valuation 19.4 pp.151-158 (2023) : 151.

Jeong Yon Shim. The design of Metacognition based Optimal Decision Making Mechanism. 2023; 19(4), 151-158. Available from: doi:10.29056/jsav.2023.12.15

Jeong Yon Shim. "The design of Metacognition based Optimal Decision Making Mechanism" Journal of Software Assessment and Valuation 19, no.4 (2023) : 151-158.doi: 10.29056/jsav.2023.12.15

Jeong Yon Shim. The design of Metacognition based Optimal Decision Making Mechanism. Journal of Software Assessment and Valuation, 19(4), 151-158. doi: 10.29056/jsav.2023.12.15

Jeong Yon Shim. The design of Metacognition based Optimal Decision Making Mechanism. Journal of Software Assessment and Valuation. 2023; 19(4) 151-158. doi: 10.29056/jsav.2023.12.15

Jeong Yon Shim. The design of Metacognition based Optimal Decision Making Mechanism. 2023; 19(4), 151-158. Available from: doi:10.29056/jsav.2023.12.15

Jeong Yon Shim. "The design of Metacognition based Optimal Decision Making Mechanism" Journal of Software Assessment and Valuation 19, no.4 (2023) : 151-158.doi: 10.29056/jsav.2023.12.15