Abstract
We study the first-order definability of progression for situation calculus action theories with a focus on the iterability of progression. Progression, the task of updating a knowledge base according to actions’ effects so that proper information is retained, is notoriously challenging as it in general requires second-order logic. Exceptions where progression is first-order like local-effect actions and normal actions impose certain syntax constraints on action theories to eliminate second-order quantifiers in the progressed knowledge base. Unfortunately, the progressed result might not satisfy the constraints again, making it impossible to apply first-order progression iteratively. In this paper, we first lift the existing result on first-order progression for normal actions by allowing disjunctions in the knowledge base. As a result, we obtain an action theory whose type is called disjunctive normal, which is iteratively first-order progressable. Second, we propose a new class of action theories, called PANACK, that strictly subsumes the disjunctive normal ones, and we show that it remains iteratively first-order progressable as well.
Original language | English |
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Title of host publication | Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI 2025) : Vol. 39 No. 14: AAAI-25 Technical Tracks 14 |
Editors | Toby Walsh, Julie Shah, Zico Kolter |
Number of pages | 8 |
Publisher | AAAI Press |
Publication date | 11 Apr 2025 |
Pages | 15041-15048 |
ISBN (Print) | 978-1-57735-897-8 |
DOIs | |
Publication status | Published - 11 Apr 2025 |
Event | 39th Annual AAAI Conference on Artificial Intelligence - Pennsylvania Convention Center, Philadelphia, United States Duration: 25 Feb 2025 → 4 Mar 2025 Conference number: 39 https://aaai.org/conference/aaai/aaai-25/ |
Conference
Conference | 39th Annual AAAI Conference on Artificial Intelligence |
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Number | 39 |
Location | Pennsylvania Convention Center |
Country/Territory | United States |
City | Philadelphia |
Period | 25/02/2025 → 04/03/2025 |
Internet address |
Keywords
- Artificial Intelligence
- Knowledge Representation
- Progression