Agent Model Analysis to Explore Effects of Interaction and Environment on Individual Performance

Abstract

This paper tries to find interaction rules between members and self-reform rules of members in some scientific research laboratories at a graduate school. The candidate of rules are extracted from the personality description sentences about factors: extroversion, agreeableness, conscientiousness, neuroticism and openness in the big five theory of personality psychology. In this paper, interaction and self-reform rules are not described by personalities themselves; instead, they are described by corresponding phenomena: activity, empathy, persistence, autonomy, and analytical ability which appear in the behavior side. Each member’s initial value is determined from the main 5-factor personality investigation to the member, and the target value is given by the member’s self-declaration. The rule selection is carried out by the genetic algorithm, where a sigmoid function is introduced in the renewal algorithm of the value, whereby a difficulty of setting the renewal parameters is avoided. An analysis is added about the obtained rules, and the validity of this approach and the subjects for future study are discussed. Finally, consideration is extended to the effect of environment on the behavior of members to reinforce the set of rules.