Abstract
We present an algorithm for finding uniform strategies in multi-agent systems with incomplete information. The algorithm finds all maximal uniform strategies for agents with incomplete information for enforcing a property expressible in the language of Alternating-time Temporal Logic ATL. The main application of the algorithm is automated program synthesis for systems that can be modeled as multi-agent systems with incomplete information (e.g., decentralized distributed systems).
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Calta, J., Shkatov, D., Schlingloff, H. (2010). Finding Uniform Strategies for Multi-agent Systems. In: Dix, J., Leite, J., Governatori, G., Jamroga, W. (eds) Computational Logic in Multi-Agent Systems. CLIMA 2010. Lecture Notes in Computer Science(), vol 6245. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14977-1_12
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DOI: https://doi.org/10.1007/978-3-642-14977-1_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14976-4
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