Abstract
There are numerous applications of multi-agent systems like disaster management [1], sensor networks [2], traffic control [3] and scheduling problems [4] where agents should coordinate to achieve a common goal. In most of these cases a centralized solution is inefficient because of the scale and the complexity of the problems and thus distributed solutions are required.
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Smyrnakis, M., Leslie, D.S. (2010). Convergence of Probability Collectives with Adaptive Choice of Temperature Parameters. In: Blum, C., Battiti, R. (eds) Learning and Intelligent Optimization. LION 2010. Lecture Notes in Computer Science, vol 6073. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13800-3_18
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DOI: https://doi.org/10.1007/978-3-642-13800-3_18
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