Abstract
Reorganisation within a multi-agent system may be managed by the agents themselves by adapting the organisation to both environmental changes and their own goals. In this paper, we propose an organisation-centred model for controlling this process. Using the \(\mathcal{M}\) oise + organisation model, we are able to define an organisational structure bearing on a reorganisation process along four phases: monitoring (when to reorganise), design (ways of building a new organisation), selection (how to choose an organisation), and implementation (how to change the current running organisation). The proposed reorganisation scheme is evaluated in the robot soccer domain where we have developed players that follow the team organisation specified in \(\mathcal{M}\) oise + . A special group of agents may change this organisation, and thus the team behaviour, using reinforcement learning for the selection phase.
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Hübner, J.F., Sichman, J.S., Boissier, O. (2004). Using the \(\mathcal{M}\) oise + for a Cooperative Framework of MAS Reorganisation. In: Bazzan, A.L.C., Labidi, S. (eds) Advances in Artificial Intelligence – SBIA 2004. SBIA 2004. Lecture Notes in Computer Science(), vol 3171. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28645-5_51
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DOI: https://doi.org/10.1007/978-3-540-28645-5_51
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23237-7
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