Simulation Model for the Studying of the Self-organizing Team

This paper proposes a multi-agent model for the studying of the self-organization teampsilas behavior. The model is dependent on the interaction rules and the decision factors of team members. Three kinds of team members (reciprocators, cooperators and selfish) are proposed in the paper. The team members work with one of three work attitudes (diligence, average, shirking). A small-world network is suggested as the basic relationships of team members. It is supposed that team memberpsilas decision of choosing work attitude depends on four decision factors, humanity, herd instinct, rationality, and follower tendency. A self-adaptive algorithm is suggested to achieve the four decision factorspsila weights. The results of self-adaptive algorithm have different influence on the teampsilas behaviors under different fractions of Reciprocators. A number of experiments demonstrate that the multi-agent model is beneficial to manage the self-organizing team. The model should be available as a toolkit for the studying of the self-organizing team.