Selecting team members: a computational model for studying network dynamics
نویسندگان
چکیده
In this paper we present a computational model of interaction between agents in order to participate to projects. We are interested in studying the effects of different behavioral components in terms of team selection, agent aggregation and performance of groups. Our theoretical approach is compared to the results of two human experiments where subjects interacted in a similar game. This comparison allows to identify some important behavioral components in the artificial agent interaction and team formation. The occurrence of two factors is crucial: the presence of leaders as aggregators of knowledge and a behavioral rule allowing the agents to improve their projects. 1 [email protected] 2 [email protected]
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