Abstract
Conflict is a natural and very typical phenomenon in every field of human world. It has very significant common characteristics and dynamics, and, therefore, it makes sense to examine them together and comparatively. People get involved in conflicts because their interests or their values are challenged. Because the solving of distributed problem, considering how the work of solving a particular problem, can be divided among a number of agents, the domain in which this strategy applies is one in which a macro-level or global perspective of problems and solutions may be best achieved by centralized control. In this paper, it concentrates on the linear programming model to develop its conflict resolution algorithm and implement it on AGENT-0.
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Chang, YT., Wu, CF., Lo, CY. (2010). An Application of Optimization Model to Multi-agent Conflict Resolution. In: Zhang, L., Lu, BL., Kwok, J. (eds) Advances in Neural Networks - ISNN 2010. ISNN 2010. Lecture Notes in Computer Science, vol 6064. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13318-3_74
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DOI: https://doi.org/10.1007/978-3-642-13318-3_74
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