A Reasoning Model for CBR_BDI Agents Using an Adaptable Fuzzy Inference System

Laza, Rosalía; Pavón, Reyes; Corchado Rodríguez, Juan Manuel

Título

dc.contributor.author	Laza, Rosalía
dc.contributor.author	Pavón, Reyes
dc.contributor.author	Corchado Rodríguez, Juan Manuel
dc.date.accessioned	2017-09-06T09:16:28Z
dc.date.available	2017-09-06T09:16:28Z
dc.date.issued	2004
dc.identifier.citation	Lecture Notes in Computer Science Current Topics in Artificial Intelligence. Lecture Notes in Computer Science. Volumen 3040, pp. 96-106.
dc.identifier.isbn	978-3-540-22218-7 (Print) / 978-3-540-25945-9 (Online)
dc.identifier.issn	0302-9743 (Print) / 1611-3349 (Online)
dc.identifier.uri	http://hdl.handle.net/10366/135092
dc.description.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.
dc.format.mimetype	application/pdf
dc.language.iso	en
dc.publisher	Springer Science + Business Media
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.uri	https://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject	Computer Science
dc.title	A Reasoning Model for CBR_BDI Agents Using an Adaptable Fuzzy Inference System
dc.type	info:eu-repo/semantics/conferenceObject
dc.rights.accessRights	info:eu-repo/semantics/openAccess
dc.type.hasVersion	info:eu-repo/semantics/acceptedVersion