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A Syntactic Approach to Computing Complete and Sound Abstraction in the Situation Calculus

AAAI 2025 · Learning theory and algorithms › Combinatorial and search optimization · approach: Logic and answer set programming theory · 1 citations (OpenAlex)

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Proposes a syntactic method to compute complete and sound abstractions in the situation calculus, via a linear integer situation calculus high-level theory and restricted refinement mappings over guarded-action low-level Golog programs.

Problem

No syntactic method exists to compute a sound and complete abstraction of a low-level basic action theory under a refinement mapping; prior work characterized it only via forgetting, which is computationally hard.

Approach

Introduces linear integer situation calculus as the high-level formalism, identifies guarded-action Golog programs and restrictions on refinement mappings (flat, complete, simply forgettable, consistent, syntax-irrelevant, propositional ∃-definable), and constructs the high-level initial KB, action precondition axioms and successor state axioms syntactically via a translation m^{-1}.

Key results

Limitations

Experimental setup

Builds on: Banihashemi et al. abstraction framework for situation calculus and ConGolog Cialdea Mayer forgetting-based characterization Zhu et al. finitely many objects axiom

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