Abstract
The approach of solving data mining tasks by a collection of cooperating agents can profit from modularity, interchangeable components, distributed execution, and autonomous operation. The problem of automatic configuration of agent collections is studied in this paper. A solution combining logical resolution system and evolutionary algorithm is proposed and demonstrated on a simple example.
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Neruda, R. (2009). Towards Data-Driven Hybrid Composition of Data Mining Multi-agent Systems. In: Lee, R., Ishii, N. (eds) Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing. Studies in Computational Intelligence, vol 209. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01203-7_24
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DOI: https://doi.org/10.1007/978-3-642-01203-7_24
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