Finding Least Cost Proofs Using High Order Recurrent Networks

Proceedings of the International Joint Conference on Neural Networks

Volumn 4, Issue , 2003, Pages 2803-2806

  Abdelbar, Ashraf M ^a   Andrews, Emad A M ^a   Tagliarini, Gene A ^b  

^a The American University in Cairo   (Egypt)

^b UNIVERSITY OF NORTH CAROLINA WILMINGTON   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

FUNCTIONS; PROBLEM SOLVING; RECURRENT NEURAL NETWORKS;

COST-BASED ABDUCTION (CBA);

ARTIFICIAL INTELLIGENCE;

EID: 0037551416     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. A.M. Abdelbar, "An Algorithm for Finding MAPs for Belief Networks through Cost-Based Abduction," Artificial Intelligence, Vol. 104, 1998, pp. 331-338.
2. A.M. Abdelbar, "Designing High Order Recurrent Networks for Bayesian Belief Revision," in: L.R. Medsker, and L.C. Jain, eds., Recurrent Neural Networks: Design And Applications, CRC Press, pp. 77-98, 1999.
3. E. Charniak, and S.E. Shimony, "Probabilistic Semantics for Cost-Based Abduction," in: Proceedings AAAI National Conference on Artificial Intelligence, 1990.
4. E. Charniak, and S. Shimony, "Cost-Based Abduction and MAP Explanation," Artificial Intelligence, Vol. 66, 1994, pp. 345-374.
5. M.A. Cohen, and S. Grossberg, "Absolute Stability of Global Pattern Formation and Parallel Memory Storage by Competitive Neural Networks," IEEE Transactions on Systems, Man, and Cybernetics, Vol. 13, No. 5, 1983, pp. 815-826.
6. J.R. Hobbs, M.E. Stickel, P. Martin, and D. Edwards, "Interpretation as Abduction," Proceedings 26th Annual Meeting of the Association for Computational Linguistics, Buffalo, 1988.
7. J.J. Hopfield, "Neural Networks and Physical Systems with Emergent Collective Computational Abilities," Proceedings National Academy of Science, Vol. 79, 1982, pp. 2554-2558.
8. J.J. Hopfield, "Neurons with Graded Response Have Collective Computational Properties Like Those of Two-State Neurons," Proceedings National Academy of Science, Vol. 81, 1984, 3088-3092.
9. G.L. Nemhauser, A.H.G. Rinnooy Kan, and M.J. Todd, Optimization: Handbooks in Operations Research and Management Science, Vol. 1, North Holland, Amsterdam, 1989.
10. G. Pinkas, "Reasoning, Nonmonotonicity and Learning in Connectionist Networks that Capture Prepositional Knowledge," Artificial Intelligence 77 (1995) 203-247.
11. E. Santos Jr., "On the generation of alternative explanations with implications for belief revision," Proceedings Seventh Conference on Uncertainty in AI, 1991, pp. 339-347.
12. E. Santos Jr., "A Linear Constraint Satisfaction Approach to Cost-Based Abduction," Artificial Intelligence, Vol. 65, 1994, pp. 1-27.
13. A. Schrijver, Theory of Linear and Integer Programming, John Wiley & Sons, New York, 1986.