Design And Evaluation Of The System Performance Of SICA-Based Optimized Social Intelligent Agents

Abstract

Agent-based simulations have been increasingly popular in the last few years for studying social systems in a variety of fields, including economics and sociology. These simulations must incorporate complicated agents to match the behavior of the simulated individuals because they are meant to replicate real-life scenarios involving humans. Concepts like cognition, emotions, personality, social relationships, or norms must therefore be considered; however, at this time, no agent architecture exists that could combine all of these characteristics and be utilized by the vast majority of modelers, including those with limited programming expertise. The social intelligent agent architecture is presented in this study to address this problem. The Belief-Desire-Intention model of cognition serves as the foundation for this modular architecture, which includes modules to enhance agent behavior with emotions, personality, social relationships, and emotional contagion. The primary benefit of the suggested device is its potential for use in military applications.