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Approximating Perfect Recall When Model Checking Strategic Abilities.

Authors: Francesco Belardinelli; Alessio Lomuscio; Vadim Malvone;

Approximating Perfect Recall When Model Checking Strategic Abilities.

Abstract

We investigate the notion of bounded recall in the context of model checking ATL ∗ and ATL specifications in multi- agent systems with imperfect information. We present a novel three-valued semantics for ATL ∗ , respectively ATL , under bounded recall and imperfect information, and study the cor- responding model checking problems. Most importantly, we show that the three-valued semantics constitutes an approxi- mation with respect to the traditional two-valued semantics. In the light of this we construct a sound, albeit partial, al- gorithm for model checking two-valued perfect recall via its approximation as three-valued bounded recall.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
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