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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..

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., CantĂș-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..