dc.contributor.author | Cantu, Francisco J | |
dc.contributor.author | Ceballos Cansino, Héctor Gibrán | |
dc.date.accessioned | 2019-12-18T16:58:25Z | |
dc.date.available | 2019-12-18T16:58:25Z | |
dc.date.issued | 2009-11-13 | |
dc.identifier.isbn | 978-076953933-1 | |
dc.identifier.uri | http://hdl.handle.net/11285/636097 | |
dc.description.abstract | In this paper we present a Causal Artificial Intelligence Design (CAID) theory that borrows notions from Classical philosophy for modeling intelligent agents. Principles introduced by this theory are used for extending a goal-driven BDI architecture and implementing what we call Causal Agent. This architecture incorporates causal formalisms like Pearl's Do calculus and C+ which are adapted to Semantic Web knowledge representations. Our approach includes an ontological agent description that enables and justifies the instantiation of agents as part of a plan. An experimental prototype used for validating experimentally our approach is commented. | es_MX |
dc.language.iso | eng | es_MX |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject.lcsh | Science | es_MX |
dc.title | Towards a causal framework for intelligent agents development | es_MX |
dc.type | Artículo de Conferencia / Conference Article | es_MX |
dc.identifier.journal | 8th Mexican International Conference on Artificial Intelligence - Proceedings of the Special Session, MICAI 2009 | es_MX |
dc.subject.keyword | Intelligent agents | es_MX |
dc.identifier.startpage | 67 | es_MX |
dc.identifier.endpage | 72 | es_MX |
dc.contributor.affiliation | Instituto Tecnológico y de Estudios Superiores de Monterrey | es_MX |
dc.subject.lemb | México / Mexico | es_MX |