Inductive situation calculus

Temporal reasoning has always been a major test case for knowledge representation formalisms. In this paper, we develop an inductive variant of the situation calculus in ID-logic, classical logic extended with inductive definitions. This logic has been proposed recently and is an extension of classi...

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Vydané v:Artificial intelligence Ročník 171; číslo 5; s. 332 - 360
Hlavní autori: Denecker, Marc, Ternovska, Eugenia
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Amsterdam Elsevier B.V 01.04.2007
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ISSN:0004-3702, 1872-7921
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Abstract Temporal reasoning has always been a major test case for knowledge representation formalisms. In this paper, we develop an inductive variant of the situation calculus in ID-logic, classical logic extended with inductive definitions. This logic has been proposed recently and is an extension of classical logic. It allows for a uniform representation of various forms of definitions, including monotone inductive definitions and non-monotone forms of inductive definitions such as iterated induction and induction over well-founded posets. We show that the role of such complex forms of definitions is not limited to mathematics but extends to commonsense knowledge representation. In the ID-logic axiomatization of the situation calculus, fluents and causality predicates are defined by simultaneous induction on the well-founded poset of situations. The inductive approach allows us to solve the ramification problem for the situation calculus in a uniform and modular way. Our solution is among the most general solutions for the ramification problem in the situation calculus. Using previously developed modularity techniques, we show that the basic variant of the inductive situation calculus without ramification rules is equivalent to Reiter-style situation calculus.
AbstractList Temporal reasoning has always been a major test case for knowledge representation formalisms. In this paper, we develop an inductive variant of the situation calculus in ID-logic, classical logic extended with inductive definitions. This logic has been proposed recently and is an extension of classical logic. It allows for a uniform representation of various forms of definitions, including monotone inductive definitions and non-monotone forms of inductive definitions such as iterated induction and induction over well-founded posets. We show that the role of such complex forms of definitions is not limited to mathematics but extends to commonsense knowledge representation. In the ID-logic axiomatization of the situation calculus, fluents and causality predicates are defined by simultaneous induction on the well-founded poset of situations. The inductive approach allows us to solve the ramification problem for the situation calculus in a uniform and modular way. Our solution is among the most general solutions for the ramification problem in the situation calculus. Using previously developed modularity techniques, we show that the basic variant of the inductive situation calculus without ramification rules is equivalent to Reiter-style situation calculus.
Author Ternovska, Eugenia
Denecker, Marc
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  organization: School of Computing Science, Simon Fraser University, Canada
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Issue 5
Keywords Inductive definitions
Situation calculus
Knowledge representation
Induction
Partial ordering
Case based reasoning
Predicate calculus
Inductive learning
Modularity
Temporal logic
Circumscription
Temporal reasoning
Discrete time
Causality
Inductive logic programming
Artificial intelligence
Language English
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Snippet Temporal reasoning has always been a major test case for knowledge representation formalisms. In this paper, we develop an inductive variant of the situation...
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SubjectTerms Applied sciences
Artificial intelligence
Computer science; control theory; systems
Exact sciences and technology
Inductive definitions
Knowledge representation
Situation calculus
Title Inductive situation calculus
URI https://dx.doi.org/10.1016/j.artint.2007.02.002
Volume 171
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