A Trust Model for Agent Coalition Formation in Multi-Agent Counter Environment

CORE,a trust model is proposed to solve agent coalition formation problem in multi-agent counter environment. The model characterizes an agent's trust from two aspects of competence and reputation. The Euclidean distance formula of vector space on competence field is used to measure the extent which an agent fits for a particular task,and the membership function is used to characterize an agent's reputation. At the begin of the task,the model selects appropriate agents to form a coalition according to their trust value;in the middle of the task,the agent's competence gains and reputation updates;after completing the task,the model can renovate every agent's trust according to their behavior during the coalition,which is viewed as an evidence for next task. Finally,the model is carried out by programming on the NetLogo software.