Open Access

ARTICLE

Modeling Habit Patterns Using Conditional Reflexes in Agency

by Qura-Tul-Ain Khan¹, Taher M. Ghazal^2,3, Sagheer Abbas¹, Wasim Ahmad Khan¹, Muhammad Adnan Khan^5,6, Raed A. Said⁴, Munir Ahmad¹, Muhammad Asif^1,*

1 School of Computer Science, National College of Business administration and Economics, Lahore, 54000, Pakistan
2 Center for Cyber Security, Faculty of Information Science and Technology, Universiti Kebansaan Malaysia (UKM), 43600, Bangi, Malaysia
3 School of Information Technology, Skyline University College, University City Sharjah, 1797, Sharjah, UAE
4 Canadian University Dubai, Dubai, UAE
5 Faculty of Computing, Riphah International University Lahore Campus, Lahore, 54000, Pakistan
6 Pattern Recognition and Machine Learning Lab, Department of Software Engineering, Gachon University, Seongnam, 13120, Korea

* Corresponding Author: Muhammad Asif. Email:

Intelligent Automation & Soft Computing 2021, 30(2), 539-552. https://doi.org/10.32604/iasc.2021.018888

Received 24 March 2021; Accepted 25 April 2021; Issue published 11 August 2021

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.

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Keywords

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