All Outputs (4)

Debugging knowledge-based applications with a generic toolkit. (2000)
Conference Proceeding
CRAW, S. and BOSWELL, R. 2000. Debugging knowledge-based applications with a generic toolkit. In Proceedings of the 12th IEEE international conference on tools with artificial intelligence (ICTAI 2000), 13-15 November 2000, Vancouver, Canada. New York: IEEE [online], article number 889866, pages 182-185. Available from: https://doi.org/10.1109/TAI.2000.889866

Knowledge refinement tools assist in the debugging and maintenance of knowledge based systems (KBSs) by attempting to identify and correct faults in the knowledge that account for incorrect problem-solving. Most refinement systems target a single she... Read More about Debugging knowledge-based applications with a generic toolkit..

Self-optimising CBR retrieval. (2000)
Conference Proceeding
JARMULAK, J., CRAW, S. and ROWE, R. 2000. Self-optimising CBR retrieval. In Proceedings of the 12th IEEE international conference on tools with artificial intelligence (ICTAI 2000), 13-15 November 2000, Vancouver, Canada. New York: IEEE [online], article number 889897, pages 376-383. Available from: https://doi.org/10.1109/TAI.2000.889897

One reason why Case-Based Reasoning (CBR) has become popular is because it reduces development cost compared to rule-based expert systems. Still, the knowledge engineering effort may be demanding. In this paper we present a tool which helps to reduce... Read More about Self-optimising CBR retrieval..

Informed selection and use of training examples for knowledge refinement. (2000)
Thesis
WIRATUNGA, N.C. 2000. Informed selection and use of training examples for knowledge refinement. Robert Gordon University, PhD thesis.

Knowledge refinement tools seek to correct faulty rule-based systems by identifying and repairing faults indicated by training examples that provide evidence of faults. This thesis proposes mechanisms that improve the effectiveness and efficiency of... Read More about Informed selection and use of training examples for knowledge refinement..

Applying genetic algorithms to multi-objective land use planning. (2000)
Conference Proceeding
MATTHEWS, K.B., CRAW, S., ELDER, S., SIBBALD, A.R. and MACKENZIE, I. 2000. Applying genetic algorithms to multi-objective land use planning. In Whitley, L.D., Goldberg, D.E., Cantú-Paz, E., Spector, L., Parmee, I.C. and Beyer, H.-G. (eds.) Proceedings of the 2000 Genetic and evolutionary computation conference (GECCO 2000): joint meeting of the 9th International conference on genetic algorithms (ICGA-2000), and the 5th Annual genetic programming conference (GP-2000), 10-12 July 2000, Las Vegas, USA. San Francisco: Morgan Kaufmann, pages 613-620.

This paper explores the application of multi-objective genetic algorithms (mGAs) to rural land-use planning, a spatial allocation problem. Two mGAs are proposed. Both share an underlying structure of: fitness assignment using Pareto-dominance ranking... Read More about Applying genetic algorithms to multi-objective land use planning..