Explanation and prediction: an architecture for default and abductive reasoning
Computational Intelligence
Structure identification in relational data
Artificial Intelligence - Special volume on constraint-based reasoning
Linear resolution for consequence finding
Artificial Intelligence
The complexity of logic-based abduction
Journal of the ACM (JACM)
Complexity of identification and dualization of positive Boolean functions
Information and Computation
Support set selection for abductive and default reasoning
Artificial Intelligence
Artificial Intelligence
On the complexity of dualization of monotone disjunctive normal forms
Journal of Algorithms
New results on monotone dualization and generating hypergraph transversals
STOC '02 Proceedings of the thiry-fourth annual ACM symposium on Theory of computing
The Complexity of Restricted Consequence Finding and Abduction
Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on Innovative Applications of Artificial Intelligence
Hypergraph Transversal Computation and Related Problems in Logic and AI
JELIA '02 Proceedings of the European Conference on Logics in Artificial Intelligence
Compilability of propositional abduction
ACM Transactions on Computational Logic (TOCL)
On computing all abductive explanations from a propositional Horn theory
Journal of the ACM (JACM)
Self-duality of bounded monotone boolean functions and related problems
Discrete Applied Mathematics
Computational Complexity
Incremental Generation of Abductive Explanations for Tactical Behavior
RoboCup 2007: Robot Soccer World Cup XI
Counting Complexity of Minimal Cardinality and Minimal Weight Abduction
JELIA '08 Proceedings of the 11th European conference on Logics in Artificial Intelligence
New polynomial classes for logic-based abduction
Journal of Artificial Intelligence Research
Counting complexity of propositional abduction
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Propositional abduction is almost always hard
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Evaluating abductive hypotheses using an EM algorithm on BDDs
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Prime implicates and prime implicants: from propositional to modal logic
Journal of Artificial Intelligence Research
Counting complexity of propositional abduction
Journal of Computer and System Sciences
Compositional Shape Analysis by Means of Bi-Abduction
Journal of the ACM (JACM)
A new framework for knowledge revision of abductive agents through their interaction
CLIMA IV'04 Proceedings of the 4th international conference on Computational Logic in Multi-Agent Systems
Enumerating minimal explanations by minimal hitting set computation
KSEM'06 Proceedings of the First international conference on Knowledge Science, Engineering and Management
A new algorithm for enumerating all maximal cliques in complex network
ADMA'06 Proceedings of the Second international conference on Advanced Data Mining and Applications
Hi-index | 0.00 |
We consider the computation of all respectively a polynomial subset of the explanations of an abductive query from a Horn theory, and pay particular attention to whether the query is a positive or negative letter, the explanation is based on literals from an assumption set, and the Horn theory is represented in terms of formulas or characteristic models. We derive tractability results, one of which refutes a conjecture by Selman and Levesque, as well as intractability results, and furthermore also semi-tractability results in terms of solvability in quasi-polynomial time. Our results complement previous results in the literature, and elucidate the computational complexity of generating the set of explanations.