The evolution of rules for conflicts resolution in self-organizing teams

Authors:
Jing Li;Yuejin Zhou
Affiliations:
School of Engineering, Nanjing Agricultural University, Nanjing, China;School of Management and Engineering, Nanjing University, Nanjing, China
Venue:
Expert Systems with Applications: An International Journal
Year:
2012

Citing 10
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Abstract

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.