English

Dynamic Term-Modal Logics for First-Order Epistemic Planning

Logic in Computer Science 2020-06-04 v2 Artificial Intelligence Multiagent Systems Logic

Abstract

Many classical planning frameworks are built on first-order languages. The first-order expressive power is desirable for compactly representing actions via schemas, and for specifying quantified conditions such as ¬xblocks_door(x)\neg\exists x\mathsf{blocks\_door}(x). In contrast, several recent epistemic planning frameworks are built on propositional epistemic logic. The epistemic language is useful to describe planning problems involving higher-order reasoning or epistemic goals such as Ka¬problemK_{a}\neg\mathsf{problem}. This paper develops a first-order version of Dynamic Epistemic Logic (DEL). In this framework, for example, xKxyblocks_door(y)\exists xK_{x}\exists y\mathsf{blocks\_door}(y) is a formula. The formalism combines the strengths of DEL (higher-order reasoning) with those of first-order logic (lifted representation) to model multi-agent epistemic planning. The paper introduces an epistemic language with a possible-worlds semantics, followed by novel dynamics given by first-order action models and their execution via product updates. Taking advantage of the first-order machinery, epistemic action schemas are defined to provide compact, problem-independent domain descriptions, in the spirit of PDDL. Concerning metatheory, the paper defines axiomatic normal term-modal logics, shows a Canonical Model Theorem-like result which allows establishing completeness through frame characterization formulas, shows decidability for the finite agent case, and shows a general completeness result for the dynamic extension by reduction axioms.

Keywords

Cite

@article{arxiv.1906.06047,
  title  = {Dynamic Term-Modal Logics for First-Order Epistemic Planning},
  author = {Andrés Occhipinti Liberman and Andreas Achen and Rasmus Kræmmer Rendsvig},
  journal= {arXiv preprint arXiv:1906.06047},
  year   = {2020}
}
R2 v1 2026-06-23T09:53:31.808Z