Abstract
A fuzzy logic based expert system has been developed that automatically allocates resources in real-time over many dissimilar platforms. An approach is being explored that involves embedding the resource manager in an electronic game environment. The game allows a human expert to play against the resource manager in a simulated battlespace with each of the defending platforms being exclusively directed by the fuzzy resource manager and the attacking platforms being controlled by the human expert or operating autonomously under their own logic. This approach automates the data mining problem. The game automatically creates a database reflecting the domain expert’s knowledge, it calls a data mining function, a genetic algorithm, for data mining of the data base as required. The game allows easy evaluation of the information mined in the second step. The criterion for re-optimization is discussed. The mined information is extremely valuable as indicated by demanding scenarios.
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© 2002 Springer-Verlag Berlin Heidelberg
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Smith, J.F. (2002). Co-evolutionary Data Mining to Discover Rules for Fuzzy Resource Management. In: Yin, H., Allinson, N., Freeman, R., Keane, J., Hubbard, S. (eds) Intelligent Data Engineering and Automated Learning — IDEAL 2002. IDEAL 2002. Lecture Notes in Computer Science, vol 2412. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45675-9_4
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DOI: https://doi.org/10.1007/3-540-45675-9_4
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