Abstract
This paper proposes to automate the generation of shellfish exploitation plans, which are elaborated by Galician extracting entities. For achieving this objective a CBR-BDI agent will be used. This agent will adapt the exploitation plans to the environmental characteristics of each school of shellfish. This kind of agents develops its activity into changing and dynamic environments, so the reasoning model that they include must be emphasised. The agent reasoning model is guided by the phases of the CBR life cycle, using different technologies for each phase. The use of an adaptative neuro-fuzzy inference system in the reuse phase must be highlighted.
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Laza, R., Pavón, R., Corchado, J.M. (2004). A Reasoning Model for CBR_BDI Agents Using an Adaptable Fuzzy Inference System. In: Conejo, R., Urretavizcaya, M., Pérez-de-la-Cruz, JL. (eds) Current Topics in Artificial Intelligence. TTIA 2003. Lecture Notes in Computer Science(), vol 3040. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25945-9_10
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DOI: https://doi.org/10.1007/978-3-540-25945-9_10
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