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AAAI 2002

Non-Markovian Control in the Situation Calculus

Conference Paper Actions and Temporal Reasoning Artificial Intelligence

Abstract

The property that the executability and the effects of an action are determined entirely by the current state or situation is known as the Markov property and is assumed in most formalizations of action. It is not difficult, however, to run into scenarios when the Markov property is not present. We consider removing this assumption from the situation calculus based formalization of actions of Reiter, which forms the basis of the programming language Golog, and define an operator for regressing formulas that quantify over past situations, with respect to such nonMarkovian basic action theories.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
313570574754600261