A Recency Inference Engine for Connectionist Knowledge Bases

Applied Intelligence

Volumn 9, Issue 3, 1998, Pages 201-215

  Ghalwash, Atef Z ^a  

^a UNITED ARAB EMIRATES UNIVERSITY   (United Arab Emirates)

Author keywords

Algorithms; Connectionist knowledge bases; Expert systems; Inference engines

Indexed keywords

INTERACTIVE COMPUTER SYSTEMS; LEARNING ALGORITHMS; NEURAL NETWORKS;

CONNECTIONIST KNOWLEDGE BASES; KNOWLEDGE BASED NEURAL NETWORKS; RECENCY INFERENCE ENGINES;

INFERENCE ENGINES;

EID: 0032205829     PISSN: 0924669X     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1008311702940     Document Type: Article

References (38)

1. B.G. Buchanan and E.H. Shortliffe (Eds.), Rule-Based Expert Systems, Addison-Wesley: Reading, MA, 1984.
2. R. Davis and J.J. King, "The origin of rule-based systems in AI," Rule-Based Expert Systems, Addison-Wesley: Reading, MA, 1984.
3. J. Durkin (Ed.), Expert System Design and Development, Macmillan: Reading, NY, 1994.
4. J.P. Ignizio (Ed.), Introduction to Expert Systems - The Development and Implementation of Rule-Based Expert Systems, McGraw-Hill: Reading, NY, 1991.
5. D.W. Patterson (Ed.), Introduction to Artificial Intelligence and Expert Systems, Prentice-Hall: Reading, NJ, 1990.
6. D.A. Waterman, A Guide to Expert Systems, Addison Wesley: Reading, MA, 1986.
7. R.S. Michalski and R.L. Chilausky, "Learning by being told and learning from examples: An experimental comparison," International Journal of Policy Analysis and Information Systems, vol. 4, no. 2, pp. 125-160, 1980.
8. G.G. Towell and J.W Shavlik, "Knowledge-based artificial neural networks," Artificial Intelligence, vol. 70, pp. 119-165, 1994.
9. J.R. Quinlan, "Induction of decision trees," Mach. Learn., vol. 1, pp. 81-106, 1986.
10. J.R. Quinlan, "Learning logical definitions from relations," Mach. Learn., vol. 5, pp. 239-266, 1990.
11. L. Rendell and H. Cho, "Empirical learning as a function of concept character," Mach. Learn., vol. 5, pp. 267-298, 1990.
12. D.E. Rumelhart, G.E. Hinton, and R.J. Willams, "Learning internal representations by error propagation," in Parallel Distributed Processing: Explorations in Microstructure of Cognition (Foundations), edited by D.E. Rumelhart, J.L. McClelland, and the PDP Research Group, MIT Press: Cambridge, MA, vol. 1, pp. 318-363, 1986.
13. R.C. Holte, L.E. Acker, and B.W. Porter, "Concept learning and the problem of small disjuncts," in Proc. IJCAI-89, Detroit, MI, 1989, pp. 813-819.
14. R. Schank, G.C. Collins, and L.E. Hunter, "Transcending inductive category formation in learning," Behav. Brain Sci., vol. 9, pp. 639-686, 1986.
15. L. Atlas, R. Cole, Y. Muthusamy, A. Lippman, J. Conner, D. Park, M. El-Sharkawi, and R.J. Marks, "A performance comparison of trained multi-layer perceptions and trained classification trees," in Proc. IEEE 78, 1990, pp. 1614-1619.
16. D.H. Fisher and K.B. McKusick, "An empirical comparison of ID3 and back-propagation," in Proceedings of IJCAI-89, Detroit, MI, 1989, pp. 788-793.
17. J.W. Shavlik, R.J. Mooney, and G.G. Towell, "Symbolic and neural net learning algorithms: An empirical comparison," Mach. Learn., vol. 6, pp. 111-143, 1991.
18. J.W. Shavlik and G.G. Towell, "An approach to combining explanation based and neural learning algorithm," in Applications of Learning & Planning Methods, edited by N.G. Bourbakis, pp. 71-98, 1991.
19. L.M. Fu, "Rule learning by searching on adapted nets," AAAI'91, 1991, pp. 590-595.
20. C. McMillan, M.C. Mozer, and P. Smolensky, "Rule induction through integrated symbolic and subsymbolic processing," Advances in Neural Information Processing Systems, Morgan Kaufmann: San Mateo, CA, pp. 969-976, 1992.
21. K. Saito and R. Nakano, "Medical diagnostic expert system based on PDP model," in Proceedings IEEE of ICNN, 1988, pp. 255-262.
22. S. Sestito and T. Dillon, "Knowledge acquisition of conjunctive rules using multilayered neural networks," Int. Journal of Intelligent Systems, vol. 8, pp. 779-805, 1993.
23. G. Towell, J. Shavlik, and M. Noordewier, "Refinement of approximate domain theories by knowledge-based neural networks," in Proc. AAAI-90, Boston, 1990, pp. 861-866.
24. G. Towell, "Symbolic knowledge and neural networks: Insertion, refinement, and extraction," Ph.D. Dissertation, University of Wisconsin, Madison, 1991.
25. G. Bradshaw, R. Fozzard, and L. Ceci, "A connectionist expert system that really works," Advances in Neural Information Processing, 2, Morgan Kaufmann: Palo Alto, CA, 1989.
26. L.M. Fu, "Knowledge-base connectionism for revising domain theories," IEEE Transactions on Systems, Man, and Cybernetics, vol. 23, no. 1, pp. 173-182, 1993.
27. L.M. Fu, "Knowledge base refinement by back-propagation," Data and Knowledge Engineering, Elsevier Science Publishers, B.V., 1992, vol. 7, pp. 35-46.
28. S.I. Gallant, "Connectionist expert systems," Communications of the ACM, vol. 31, no. 2, pp. 152-169, 1988.
29. G. Mirchandani and W. Cao, "On hidden nodes for neural nets," IEEE Transactions on Circuits and Systems, vol. 36, no. 5, pp. 661-664, 1989.
30. E.T. Lange and G.M. Dyer, "High-level inferencing in a connectionist networks," Connection Science, vol. 1, no. 2, pp. 181-217, 1989.
31. R. Sun, "On variable binding in connectionist networks," Connection Science, vol. 4, no. 2, pp. 93-123, 1992.
32. R. Sun, "Structuring knowledge in vague domains," IEEE Trans. on Knowledge and Data Engineering, vol. 7, no. 1, pp. 120-136, 1995.
33. K. Haines and R. Hecht-Nielsen, "A BAM with increased information storage capacity," in Proceedings of the IEEE International Conference on Neural Networks, San Diego, 1988, pp. I-181-190.
34. J.J. Hopfield and D.W. Tank, "Computing with neural circuits: A model," Science, vol. 233, no. 4764, pp. 625-633, 1986.
35. B. Widrow and R. Winter, "Neural nets for adaptive filtering and adaptive pattern recognition," Computer, pp. 25-39, March 1988.
36. S.I. Gallant (Ed.), Neural Network Learning and Expert Systems, MIT, 1993.
37. E.B. Baum and D. Haussler, "What size net gives valid generalization?," Neural Computation, vol. 1, no. 1, pp. 151-160, 1989.
38. L.M. Fu (Ed.), Neural Networks in Computer Intelligence, McGraw-Hill: Reading, 1994.