Abstract
Approximation fixpoint theory (AFT) is an abstract and general algebraic framework for studying the semantics of nonmonotonic logics. It provides a unifying study of the semantics of different formalisms for nonmonotonic reasoning, such as logic programming, default logic and autoepistemic logic. In this paper, we extend AFT to dealing with non-deterministic constructs that allow to handle indefinite information, represented e.g. by disjunctive formulas. This is done by generalizing the main constructions and corresponding results of AFT to non-deterministic operators, whose ranges are sets of elements rather than single elements. The applicability and usefulness of this generalization is illustrated in the context of disjunctive logic programming.
Original language | English |
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Article number | 104110 |
Number of pages | 37 |
Journal | Artificial Intelligence |
Volume | 331 |
DOIs | |
Publication status | Published - Jun 2024 |
Keywords
- Answer Set Programming
- Approximation Fixpoint Theory
- Knowledge Representation
- Logic Programming