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AAAI 2000

An Iterative Algorithm for Synthesizing Invariants

Conference Paper Planning and Scheduling Artificial Intelligence

Abstract

We present a general algorithm for synthesizing state invariants that speed up automated planners and have other applications in reasoning about change. Invariants are facts that hold in all states that are reachable from an initial state by the application of a number of operators. In contrast to earlier work, we recognize the fact that establishing an invariant may require considering other invariants, and this in turn seems to require viewing synthesis of invariants as fixpoint computation. Also, the algorithm is not inherently restricted to invariants of particular syntactic forms.

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Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
72549115999047801