Abstract
The problem of computing X-minimal models, that is, models minimal with respect to a subset X of all the atoms in a theory, is relevant for many tasks in Artificial Intelligence. Unfortunately, the problem is NP-hard. In this paper we present a non-trivial upper bound for the task of computing all X-minimal models: we show that all the X-minimal models of a propositional theory can be found in time time-ord-mod()+O(#DMinModX()n, where time-ord-mod() is the time it takes to find all the models of in a particular order, #DMinModX() is the number of different X-minimal models of T, and |X|=n.
Original language | English |
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Pages (from-to) | 87-92 |
Number of pages | 6 |
Journal | AI Communications |
Volume | 20 |
Issue number | 2 |
State | Published - 1 Aug 2007 |
Keywords
- Analysis of algorithms
- Minimal models
- Model-based diagnosis
- Nonmonotonic reasoning
- X-minimal models
ASJC Scopus subject areas
- Artificial Intelligence