Self-confidence at Workplace: Cognitive Agent Modeling and Analysis

Abstract

In the workplace, indications of self-awareness and emotional intelligence will be unavoidable. Certain standards consider these symptoms to be appropriate because they are a vital element of keeping people informed (or commonly known as self-confidence). Recent research, on the other hand, has focused on external characteristics of self-confidence and has lacked adaptable strategies for dealing with individual self-confidence dynamics. This study investigated the use of an agent-based modelling approach for workplace self-confidence. It focuses on the dynamic influences of environmental and personal factors on work self-esteem, self-efficacy, self-concept, and selfconfidence. Based on several personality characteristics and environmental conditions, the results included four scenarios (self-esteem, self-efficacy, self-concept, and self-confidence). In order to describe self-confidence agentbased modeling of complex sociotechnical systems in the literature based on empirical investigation, automated logical verification was used to validate this computational model. Finally, equilibria analysis was performed to evaluate this computational model in order to discover if there were any weaknesses. The suggested computational agent-based model has shown realistic behavior patterns that are compatible with workplace self-esteem, selfefficacy, self-concept, and self-confidence.