In this paper, we investigate bounded action theories in the situation calculus. A bounded action theory is one which entails that, in every situation, the number of object tuples in the extension of fluents is bounded by a given constant, although such extensions are in general different across the infinitely many situations. We argue that such theories are common in applications, either because facts do not persist indefinitely or because the agent eventually forgets some facts, as new ones are learned. We discuss various classes of bounded action theories. Then we show that verification of a powerful first-order variant of the μ-calculus is decidable for such theories. Notably, this variant supports a controlled form of quantification across situations. We also show that through verification, we can actually check whether an arbitrary action theory maintains boundedness.

Bounded situation calculus action theories / DE GIACOMO, Giuseppe; Lespérance, Yves; Patrizi, Fabio. - In: ARTIFICIAL INTELLIGENCE. - ISSN 0004-3702. - STAMPA. - 237:(2016), pp. 172-203. [10.1016/j.artint.2016.04.006]

Bounded situation calculus action theories

DE GIACOMO, Giuseppe
;
PATRIZI, FABIO
2016

Abstract

In this paper, we investigate bounded action theories in the situation calculus. A bounded action theory is one which entails that, in every situation, the number of object tuples in the extension of fluents is bounded by a given constant, although such extensions are in general different across the infinitely many situations. We argue that such theories are common in applications, either because facts do not persist indefinitely or because the agent eventually forgets some facts, as new ones are learned. We discuss various classes of bounded action theories. Then we show that verification of a powerful first-order variant of the μ-calculus is decidable for such theories. Notably, this variant supports a controlled form of quantification across situations. We also show that through verification, we can actually check whether an arbitrary action theory maintains boundedness.
2016
Knowledge representation; Reasoning about action; Situation calculus; Verification; Artificial Intelligence; Language and Linguistics; Linguistics and Language
01 Pubblicazione su rivista::01a Articolo in rivista
Bounded situation calculus action theories / DE GIACOMO, Giuseppe; Lespérance, Yves; Patrizi, Fabio. - In: ARTIFICIAL INTELLIGENCE. - ISSN 0004-3702. - STAMPA. - 237:(2016), pp. 172-203. [10.1016/j.artint.2016.04.006]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/885586
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