Abstract
In this paper, we study how an opinion dynamics model can be the core of a collective decision-making mechanism for swarm robotics. Our main result is that when opinions represent action choices, the opinion associated with the action that is the fastest to execute spreads in the population. Moreover, the spread of the best choice happens even when only a minority is initially advocating for it. The key elements involved in this process are consensus building and positive feedback. A foraging task that involves collective transport is used to illustrate the potential of the proposed approach. © 2010 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Montes De Oca, M. A., Ferrante, E., Mathews, N., Birattari, M., & Dorigo, M. (2010). Opinion dynamics for decentralized decision-making in a robot swarm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6234 LNCS, pp. 251–262). https://doi.org/10.1007/978-3-642-15461-4_22
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