Melbourne, Australia. November 11-17, 2025.
ISSN: 2334-1033
ISBN: 978-1-956792-08-9
Copyright © 2025 International Joint Conferences on Artificial Intelligence Organization
Logics for reasoning about knowledge and actions have seen many applications in various domains of multi-agent systems, including epistemic planning. Change of knowledge based on observations about the surroundings forms a key aspect in such planning scenarios. Public Observation Logic (POL) is a variant of public announcement logic for reasoning about knowledge that gets updated based on public observations. Each state in an epistemic (Kripke) model is equipped with a set of expected observations. These states evolve as the expectations get matched with the actual observations. In this work, we prove that the satisfiability problem of POL is 2EXPTIME-complete.