Abstract
Probabilistic systems of interacting intelligent agents are considered. They have two sources of uncertainty: uncertainty of communication channels and uncertainty of actions. We show how such systems can be polynomially transformed to finite state Markov chains. This allows one to transfer known results on verifying temporal properties of the finite state Markov chains to the probabilistic multi-agent systems of the considered type.
This work was sponsored by the Russian Fundamental Studies Foundation (Grants 07-01-00637-a and 08-01-00241-a).
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Dekhtyar, M.I., Dikovsky, A.J., Valiev, M.K. (2008). Temporal Verification of Probabilistic Multi-Agent Systems . In: Avron, A., Dershowitz, N., Rabinovich, A. (eds) Pillars of Computer Science. Lecture Notes in Computer Science, vol 4800. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-78127-1_14
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DOI: https://doi.org/10.1007/978-3-540-78127-1_14
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