| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 388277 | Expert Systems with Applications | 2012 | 8 Pages |
The purpose of the paper is to study the emergency and effects of conflict resolution rules in self-organizing teams. Intelligent agents are used to simulate team members of self-organizing teams. In the virtual self-organizing team, agents adapt the Q-learning algorithm to adjust their actions. Three sets of experiments are manipulated to study the evolution of rules. The results of few experiments show a new rule for conflict resolution emerged from the dynamic interactions of agents. For the other experiments, agents cannot resolve conflicts by themselves.
► The emergency of the new rule can be proposed by the multi-agent model. ► The increase of conflicts’ amount at each period blocks the evolution of new rules. ► The increase of team scale can not promote the emergency of new rule for conflict resolution.
