Abstract
We develop a logic-based technique to analyse finite interactions in multi-agent systems. We introduce a semantics for Alternating-time Temporal Logic (for both perfect and imperfect recall) and its branching-time fragments in which paths are finite instead of infinite. We study validities of these logics and present optimal algorithms for their model-checking problems in the perfect recall case.
Cite
CITATION STYLE
Belardinelli, F., Lomuscio, A., Murano, A., & Rubin, S. (2018). Alternating-time temporal logic on finite traces. In IJCAI International Joint Conference on Artificial Intelligence (Vol. 2018-July, pp. 77–83). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2018/11
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