Connectionist Expert System with Adaptive Learning Capability

A neural network expert system called adaptive connectionist expert system (ACES) which will learn adaptively from past experience is described. ACES is based on the neural logic network, which is capable of doing both pattern processing and logical inferencing. The authors discuss two strategies, pattern matching ACES and rule inferencing ACES. The pattern matching ACES makes use of past examples to construct its neural logic network and fine-tunes itself adaptively during its use by further examples supplied. The rule inferencing ACES conceptualizes new rules based on the frequencies of use on the rule-based neural logic network. A new rule could be considered as a pattern matching example and be incorporated into pattern matching ACES. >

[1]  T. Samad.  Towards connectionist rule-based systems , 1988, IEEE 1988 International Conference on Neural Networks.

[2]  Q. Pan,et al.  INSIDE: a neuronet based hardware fault diagnostic system , 1990, 1990 IJCNN International Joint Conference on Neural Networks.

[3]  Allan G. Bateson,et al.  Cognitive Processing Differences Between Novice and Expert Computer Programmers , 1987, Int. J. Man Mach. Stud..

[4]  J. Ross Quinlan,et al.  Generating Production Rules from Decision Trees , 1987, IJCAI.

[5]  L. S. Hsu,et al.  Probabilistic neural-logic networks , 1989, International 1989 Joint Conference on Neural Networks.

[6]  Terrence J. Sejnowski,et al.  Parallel Networks that Learn to Pronounce English Text , 1987, Complex Syst..

[7]  Herbert A. Simon,et al.  THE MIND'S EYE IN CHESS , 1988 .

[8]  Fernando Mendes de Azevedo,et al.  Connectionist expert systems as medical decision aid , 1993, Artif. Intell. Medicine.

[9]  R. Nakano,et al.  Medical diagnostic expert system based on PDP model , 1988, IEEE 1988 International Conference on Neural Networks.

[10]  H. H. Teh,et al.  Neural three-valued-logic networks , 1989, International 1989 Joint Conference on Neural Networks.

[11]  Dorothea P. Simon,et al.  Expert and Novice Performance in Solving Physics Problems , 1980, Science.

[12]  Richard Fozzard,et al.  A Connectionist Expert System that Actually Works , 1988, NIPS.

[13]  Boon Toh Low,et al.  Neural logic programming , 1990, [1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence.

[14]  Geoffrey E. Hinton,et al.  Learning internal representations by error propagation , 1986 .

[15]  Nigel Shadbolt,et al.  The empirical study of knowledge elicitation techniques , 1989, SGAR.

[16]  H. Simon,et al.  The mind's eye in chess. , 1973 .

[17]  H. H. Teh,et al.  A controlled learning environment of enhanced perceptron , 1988, [1988] Proceedings. Workshop on the Future Trends of Distributed Computing Systems in the 1990s.