Approximating cost-based abduction is NP-hard-Reference-Cited by-同舟云学术

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Approximating cost-based abduction is NP-hard

Published:2004-11 Issue:1-2 Volume:159 Page:231-239
ISSN:0004-3702
Container-title:Artificial Intelligence
language:en
Short-container-title:Artificial Intelligence

Author:

Abdelbar Ashraf M.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Linguistics and Language,Language and Linguistics

Reference27 articles.

1. An algorithm for finding MAP explanations through cost-based abduction;Abdelbar;Artificial Intelligence,1998

2. Applying guided evolutionary simulated annealing to cost-based abduction;Abdelbar,2003

3. Abductive reasoning with recurrent networks;Abdelbar;Neural Networks,2003

4. A k-elitist MAX–MIN ant system approach to cost-based abduction;Abdelbar,2003

5. Efficient probabilitistically checkable proofs and applications to approximation;Bellare,1993

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1. “SHORT”er Reasoning About Larger Requirements Models;2017 IEEE 25th International Requirements Engineering Conference (RE);2017-09

2. The Muddle of Anticipation;Ecological Psychology;2015-04-03

3. The complexity of multi-agent plan recognition;Autonomous Agents and Multi-Agent Systems;2014-02-08

4. An Algorithm for Constructing and Searching Spaces of Alternative Hypotheses;IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics);2011-06

5. Solving abduction by computing joint explanations;Annals of Mathematics and Artificial Intelligence;2007-07-17

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