Modeling Habit Patterns Using Conditional Reflexes in Agency

Khan, Q T A, Ghazal, T M, Abbas, S, Khan, W A, Khan, M A, Said, R A, Ahmad, M and Asif, M (2021) Modeling Habit Patterns Using Conditional Reflexes in Agency. Intelligent Automation & Soft Computing, 30 (2). pp. 539-552. ISSN 2326-005X

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Abstract

For decision-making and behavior dynamics in humans, the principal focus is on cognition. Cognition can be described using cognitive behavior, which has multiple states. This cognitive behavior can be incorporated with one of the internal mental states’ help, which includes desires, beliefs, emotions, intentions, different levels of knowledge, goals, skills, etc. That leads to habit development. Habits are highly refined patterns formed in the unconscious that evolve from conscious skill patterns in the human, and the same process can be implemented in the agency. These habit patterns are the outcomes of many internal values that may vary due to variations in parameter values forming these patterns. Fluctuations in the individual agent’s conditional reflexes may subject to strong habit patterns and leads to rationality. This paper presents the modeling of habit patterns in agency using conditional reflexes. Learning patterns, limited reflex patterns, skill patterns are working as main parameters for generating habit patterns. These input and output parameters will be validated using a scenario by applying fuzzy logic cascade techniques in which validation occurs at two levels. At the first level, conditional reflexes and initial patterns are applied, which form the output’s skill patterns. Then these skill patterns are interconnected with each other to form habit patterns.

Affiliation: Skyline University College
SUC Author(s): Ghazal, T M ORCID: https://orcid.org/0000-0003-0672-7924
All Author(s): Khan, Q T A, Ghazal, T M, Abbas, S, Khan, W A, Khan, M A, Said, R A, Ahmad, M and Asif, M
Item Type: Article
Uncontrolled Keywords: Human psychology; decision making; habit; rationality; agent’s behavior
Subjects: B Information Technology > BA Information Systems
Divisions: Skyline University College > School of IT
Depositing User: Mr Veeramani Rasu
Date Deposited: 11 Feb 2022 12:16
Last Modified: 18 Jan 2024 07:18
URI: https://research.skylineuniversity.ac.ae/id/eprint/80
Publisher URL: https://DOI:10.32604/iasc.2021.018888
Publisher OA policy: https://v2.sherpa.ac.uk/id/publication/37361
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