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On Action Theories with Iterable First-Order Progression

AAAI 2025 · Learning theory and algorithms › Combinatorial and search optimization · approach: Logic and answer set programming theory · 0 citations (OpenAlex)

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Identifies situation calculus action theory classes (disjunctive normal and PANACK) for which first-order progression is iterable, i.e., remains first-order across action sequences.

Problem

Progression in the situation calculus generally requires second-order logic; existing first-order progression results (local-effect, normal, acyclic actions) hold only for single actions and are not iterable, since the progressed KB may violate the syntactic constraints needed for the next step.

Approach

Lifts Liu and Lakemeyer's first-order progression result for normal actions by allowing disjunctions in the KB (disjunctive normal action theories), and introduces PANACK action theories, which allow cyclic dependencies among non-local-effect fluents as long as they occur only in context conditions; both are shown to be iteratively first-order progressable.

Key results

Surprising findings

Limitations

Experimental setup

Baselines: normal actions (Liu and Lakemeyer 2009) acyclic actions (Liu and Claßen 2024) local-effect theories

Builds on: Lin and Reiter progression Liu and Lakemeyer local-effect and normal actions Liu and Claßen acyclic actions Ackermann lemma

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