KR2023Proceedings of the 20th International Conference on Principles of Knowledge Representation and ReasoningProceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning

Rhodes, Greece. September 2-8, 2023.

Edited by
  1. Pierre Marquis,
  2. Tran Cao Son
  3. Gabriele Kern-Isberner

ISSN: 2334-1033
ISBN: 978-1-956792-02-7

Sponsored by
Published by

Copyright © 2023 International Joint Conferences on Artificial Intelligence Organization

Planning with Epistemic Preferences

  1. Toryn Q. Klassen(Department of Computer Science, University of Toronto, Toronto, Canada, Vector Institute for Artificial Intelligence, Toronto, Canada, Schwartz Reisman Institute for Technology and Society, Toronto, Canada)
  2. Christian Muise(School of Computing, Queen’s University, Kingston, Canada, Vector Institute for Artificial Intelligence, Toronto, Canada)
  3. Sheila A. McIlraith(Department of Computer Science, University of Toronto, Toronto, Canada, Vector Institute for Artificial Intelligence, Toronto, Canada, Schwartz Reisman Institute for Technology and Society, Toronto, Canada)
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BibTeX
https://doi.org/10.24963/kr.2023/76

Keywords

  1. Reasoning about knowledge, beliefs, and other mental attitudes
  2. Modeling and reasoning about preferences
  3. Reasoning about actions and change, action languages

Abstract

Within the field of automated planning, two areas of study are planning with preferences and epistemic planning. Planning with preferences involves generating plans that optimize for properties of the plan instead of, or in addition to, trying to reach a fixed goal. Epistemic planning allows for planning over the knowledge or belief states of one or more agents for the purpose of achieving epistemic goals (where agents have particular states of knowledge or belief). In this paper we motivate and explore the task of planning with epistemic preferences, proposing a method by which existing automated planning techniques can be combined for this purpose.