Reasoning about Agent Programs using ATL-like Logics

Yadav, Nitin, Sardina, Sebastian

arXiv.org Artificial Intelligence 

We propose a variant of Alternating-time Temporal Logic (ATL) grounded in the agents' operational know-how, as defined by their libraries of abstract plans. Inspired by ATLES, a variant itself of ATL, it is possible in our logic to explicitly refer to "rational" strategies for agents developed under the Belief-Desire-Intention agent programming paradigm. This allows us to express and verify properties of BDI systems using ATL-type logical frameworks. Keywords: Agent Programming, Reactive plans, ATL, Model Checking.

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