Abstract
This paper presents a benchmark for multiagent systems specific to the simulator Soccerserver 2D, an environment to develop teams of robotic soccer, providing metrics and evaluation procedures for multiagent organization schemes, more specifically, coalitions formation. This benchmark has considered a MAS with two main levels, at least: (i) individual level, where agents are implemented from requisites of a social structure and considering its individual capabilities (roles, skills, etc); (ii) a social level, where all the social aspects of the MAS are specified (organization, plans, goals, etc.) and where the individual level of each agent instantiates these social knowledge to act in the system. The method proposed here has applied at social level, once it measures the quantity and quality of coalitions that arise in the environment.
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Notes
- 1.
Here, we consider a complex environment those in the [20] sense: partially observable, stochastic, dynamic and unknown.
- 2.
Once team tokA1 was not available, it was not considered in experiments.
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Gonçalves, E.M.N., Adamatti, D., dos Santos Klipp, T. (2018). Benchmark for Coalitions at Multiagent Systems in a Robotic Soccer Simulation Environment. In: Dimuro, G., Antunes, L. (eds) Multi-Agent Based Simulation XVIII. MABS 2017. Lecture Notes in Computer Science(), vol 10798. Springer, Cham. https://doi.org/10.1007/978-3-319-91587-6_13
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