Proof System for Plan Verification under 0-Approximation Semantics
Xishun Zhao, Yuping Shen

TL;DR
This paper introduces a proof system for verifying plans under 0-approximation semantics in knowledge-based action theories, ensuring correctness and completeness for plan verification and generation.
Contribution
It develops a sound and complete proof system for plan verification under 0-approximation semantics, enabling plan verification and generation in knowledge-based systems.
Findings
Proof system is sound and complete.
Enables plan verification under 0-approximation semantics.
Supports plan generation based on the proof system.
Abstract
In this paper a proof system is developed for plan verification problems and under 0-approximation semantics for . Here, for a plan , two sets of fluent literals, and a literal , (resp. ) means that all literals of become true (resp. becomes known) after executing in any initial state in which all literals in are true.Then, soundness and completeness are proved. The proof system allows verifying plans and generating plans as well.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsLogic, Reasoning, and Knowledge · Logic, programming, and type systems · AI-based Problem Solving and Planning
