Abstract
One of the fundamental problems in reasoning about action is progression, which is to update a knowledge base according to the effects of an action into another knowledge base that retains all proper information. The problem is notoriously challenging, as in general, it requires second-order logic. Efforts have been made to find fragments where progression is first-order definable. Liu and Lakemeyer showed that for actions that have only local effects, progression is always first-order definable. They also generalized the result to so-called normal actions, that allow for non-local effects, as long as the affected fluent predicates only depend on local-effect ones, under certain restrictions on the knowledge base. In addition, they showed that for so-called proper+ knowledge bases, progression for normal actions can be efficient under reasonable assumptions. In this paper, we consider a larger class of theories, called the acyclic ones, that strictly subsumes normal actions. In such theories, dependencies between non-local effect fluent predicates are allowed, as long as they do not contain any cycles. We prove progression to be equally first-order definable for this class. Furthermore, under similar but stronger assumptions than those made by Liu and Lakemeyer, we show that progression is efficient as well.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 33rd International Joint Conference on Artificial Intelligence, IJCAI 2024 |
| Editors | Kate Larson |
| Number of pages | 9 |
| Publisher | IJCAI Organization |
| Publication date | 2 Aug 2024 |
| Pages | 3475-3483 |
| ISBN (Electronic) | 978-1-956792-04-1 |
| DOIs | |
| Publication status | Published - 2 Aug 2024 |
| Event | 33rd International Joint Conference on Artificial Intelligence - International Convention Center Jeju, Jeju Island, Korea, Republic of Duration: 3 Aug 2024 → 9 Aug 2024 Conference number: 33 https://ijcai24.org/ |
Conference
| Conference | 33rd International Joint Conference on Artificial Intelligence |
|---|---|
| Number | 33 |
| Location | International Convention Center Jeju |
| Country/Territory | Korea, Republic of |
| City | Jeju Island |
| Period | 03/08/2024 → 09/08/2024 |
| Internet address |
Keywords
- Reasoning about actions and change, action languages
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