Artificial Intelligence
Artificial Intelligence
Artificial Intelligence
An Efficient First-Order Abduction System Based on the ATMS
An Efficient First-Order Abduction System Based on the ATMS
A knowledge-level account of abduction
IJCAI'89 Proceedings of the 11th international joint conference on Artificial intelligence - Volume 2
On the mechanization of abductive logic
IJCAI'73 Proceedings of the 3rd international joint conference on Artificial intelligence
Abductive inference methods in problems of job planning in complex objects
Journal of Computer and Systems Sciences International
Abduction in work-planning problems in complex objects
Scientific and Technical Information Processing
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This paper presents an algorithm for first-order Horn-clause abduction that uses an ATMS to avoid redundant computation. This algorithm is either more efficient or more general than any other previous abduction algorithm. Since computing all minimal abductive explanations is intractable, we also present a heuristic version of the algorithm that uses beam search to compute a subset of the simplest explanations. We present empirical results on a broad range of abduction problems from text understanding, plan recognition, and device diagnosis which demonstrate that our algorithm is at least an order of magnitude faster than an alternative abduction algorithm that does not use an ATMS.