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GROUP COMPOSER – system for modeling agents’ team building for tasks

Naruk A.

Journal of Applied Computer Science

2014

Vol. 22, nr 1

97--109

Multi-agent systems consist of many autonomous units, called agents, that can interact when trying to achieve their goals. The selection of interaction partners is called team formation. Three basic approaches can be considered to match multi-agent system resources to the problem at hand. To research the properties of di ﬀ erent approaches, a software for modeling team formation in multi-agent systems has been created and is presented in this paper. Currently the software implements a centrally processed computerdriven group formation. University employee’s representation, with a few possible human characteristics, was used for veriﬁcation. Tests performed on sample data conﬁrm that chosen representation and algorithm are successful at ﬁnding groups which meet speciﬁc constraints.