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  1. Complexity of multi-agent conformant planning with group knowledge.Yanjun Li - 2023 - Synthese 201 (4):1-30.
    In this paper, we propose a dynamic epistemic framework to capture the knowledge evolution in multi-agent systems where agents are not able to observe. We formalize multi-agent conformant planning with group knowledge, and reduce planning problems to model checking problems. We prove that multi-agent conformant planning with group knowledge is Pspace -complete on the size of dynamic epistemic models. We also consider the alternative Kripke semantics, and show that for each Kripke model with perfect recall and no miracles, there is (...)
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  • Progression and Verification of Situation Calculus Agents with Bounded Beliefs.Giuseppe De Giacomo, Yves Lespérance, Fabio Patrizi & Stavros Vassos - 2016 - Studia Logica 104 (4):705-739.
    We investigate agents that have incomplete information and make decisions based on their beliefs expressed as situation calculus bounded action theories. Such theories have an infinite object domain, but the number of objects that belong to fluents at each time point is bounded by a given constant. Recently, it has been shown that verifying temporal properties over such theories is decidable. We take a first-person view and use the theory to capture what the agent believes about the domain of interest (...)
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  • A dynamic epistemic framework for reasoning about conformant probabilistic plans.Yanjun Li, Barteld Kooi & Yanjing Wang - 2019 - Artificial Intelligence 268 (C):54-84.
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  • CPCES: A planning framework to solve conformant planning problems through a counterexample guided refinement.Alban Grastien & Enrico Scala - 2020 - Artificial Intelligence 284 (C):103271.
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