An efficient approach to solving the agent training problem for a sustainable group

Authors:
Haibin Zhu;Luming Feng;Ratvinder Singh Grewal
Affiliations:
Nipissing University, Canada;Laurentian University, Canada;Laurentian University, Canada
Venue:
Proceedings of the 2013 Summer Computer Simulation Conference
Year:
2013

Citing 6
Cited 0

Sustainable collaboration: managing conflict and cooperation in interorganizational systems

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Distribution of Knowledge, Group Network Structure, and Group Performance

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Role-based collaboration and its kernel mechanisms

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Role Transfer Problems and Algorithms

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Efficient Role Transfer Based on Kuhn–Munkres Algorithm

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Adaptive Collaboration Based on the E-CARGO Model

International Journal of Agent Technologies and Systems

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Abstract

Adaptive Collaboration (AC) aims at building a sustainable group that can work well even though the environment and the state of the group change. Initial role assignment or agent training is an important task for a group to be sustainable. There are many variations and different requirements in the process of role assignment. In this paper, an efficient approach is proposed to solve the problem of agent training for a sustained group. This approach is based on the IBM ILOG CPLEX Optimization Package. The performance is verified by experiments with randomly created groups. The major contribution of this paper is to clarify the problem of initial group role assignment for a sustainable group and propose an efficient and practical solution.