Abstract
Approximation fixpoint theory (AFT) is a robust and popular mathematical framework that characterizes many nonmonotonic semantics, where the construction of stable fixpoints, called stable revision, plays a central role. Nondeterministic AFT is a recent development that redefines AFT for a nondeterministic setting to capture disjunctive semantics. This theory departs from traditional AFT by introducing distinct definitions, thus raising the question of whether deterministic AFT can be adopted directly to define nondeterministic stable revision. This work proposes such an alternate theory and creates a new way to study disjunctive semantics in terms of normal (non-disjunctive) knowledge bases. To demonstrate the viability of our framework, we show how to capture stable and partial stable models for disjunctive logic programs. We then study the relationships between this alternative theory and the state-of-the-art nondeterministic AFT.
Original language | English |
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Title of host publication | Special Track on AI Alignment |
Editors | Toby Walsh, Julie Shah, Zico Kolter |
Publisher | Association for the Advancement of Artificial Intelligence |
Pages | 15033-15040 |
Number of pages | 8 |
Edition | 14 |
ISBN (Electronic) | 9781577358978 |
DOIs | |
Publication status | Published - 11 Apr 2025 |
Event | 39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025 - Philadelphia, United States Duration: 25 Feb 2025 → 4 Mar 2025 Conference number: 39 https://aaai.org/conference/aaai/aaai-25/ |
Publication series
Series | Proceedings of the AAAI Conference on Artificial Intelligence |
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Number | 14 |
Volume | 39 |
ISSN | 2159-5399 |
Conference
Conference | 39th Annual AAAI Conference on Artificial Intelligence, AAAI 2025 |
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Abbreviated title | AAAI-25 |
Country/Territory | United States |
City | Philadelphia |
Period | 25/02/25 → 4/03/25 |
Internet address |