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AAAI 2023

Model-Checking for Ability-Based Logics with Constrained Plans

Conference Paper AAAI Technical Track on Knowledge Representation and Reasoning Artificial Intelligence

Abstract

We investigate the complexity of the model-checking problem for a family of modal logics capturing the notion of “knowing how”. We consider the most standard ability-based knowing how logic, for which we show that model-checking is PSpace-complete. By contrast, a multi-agent variant based on an uncertainty relation between plans in which uncertainty is encoded by a regular language, is shown to admit a PTime model-checking problem. We extend with budgets the above-mentioned ability-logics, as done for ATL-like logics. We show that for the former logic enriched with budgets, the complexity increases to at least ExpSpace-hardness, whereas for the latter, the PTime bound is preserved. Other variant logics are discussed along the paper.

Authors

Keywords

  • KRR: Action, Change, and Causality
  • KRR: Computational Complexity of Reasoning
  • KRR: Knowledge Representation Languages
  • KRR: Other Foundations of Knowledge Representation & Reasoning
  • KRR: Reasoning with Beliefs

Context

Venue
AAAI Conference on Artificial Intelligence
Archive span
1980-2026
Indexed papers
28718
Paper id
911516561275925950