Show simple item record

dc.contributorCantú Ortíz, Francisco J.
dc.contributorBrena Pinero, Ramón F.
dc.contributorSánchez Aguilar, Antonio
dc.contributorNoriega, Pablo
dc.contributorGarrido, Leonardo
dc.creatorHector G. Ceballos
dc.creatorHECTOR GIBRAN CEBALLOS CANCINO;223871es_MX
dc.date.accessioned2015-08-17T11:34:42Zen
dc.date.available2015-08-17T11:34:42Zen
dc.date.issued2010-12-01
dc.identifier.urihttp://hdl.handle.net/11285/572536en
dc.description.abstractThe current competitive environment motivated Knowledge Management (KM) theorists to propose the notion of Organizational Intelligence (OI) for enabling a rapid response of large organizations to changing conditions. KM practitioners consider that OI resides in both processes and members of the organization, and recommend implementing learning mechanisms and empowering participants with knowledge and decision making for improving organization competitiveness. In that sense, have being provided some theoretical definitions and practical approaches (e.g. Electronic Institutions and Autonomic Computing), as well as commercial platforms (e.g. Whitestein Technologies), that implement OI to a certain extent. Some of these approaches have already taken advantage of tools and formalisms developed in Artificial Intelligence (e.g. Knowledge Representation, Data Mining, and Intelligent Agents). In this research, I propose the use of Aristotelian Causality for modeling organizations, as well as its members, as intelligent entities through the Causal Artificial Intelligence Design (CAID) theory, and present the Causal Multi-Agent System (CMAS) framework for automating organizational processes. Bayesian Causal Networks are extended to Semantic Causal Networks (SCN) for providing an explicit representation of the goals, participants, resources and knowledge involved in these processes. The CAID principles and the SCN formalism are used for providing a probabilistic extension of the goal-driven Belief-Desire-Intention agent architecture, called Causal Agent. Lastly, the capabilities of this framework are demonstrated through the specification and automation of an information auditing process.
dc.languageeng
dc.publisherInstituto Tecnológico y de Estudios Superiores de Monterrey
dc.relationInvestigadoreses_MX
dc.relationEstudianteses_MX
dc.relation.isformatofversión publicadaes_MX
dc.relation.ispartofREPOSITORIO NACIONAL CONACYTes_MX
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0*
dc.subject.classification7 INGENIERÍA Y TECNOLOGÍAes_MX
dc.titleA causal multiagent system approach for automating processes in intelligent organizations
dc.typeTesis de doctorado
thesis.degree.levelDoctor of Philosophy in Information Technologies and Communicationsen
thesis.degree.disciplineDivision Of Mechatronics And Information Technologiesen
thesis.degree.nameDoctoral Program in Inforation Technologies and Commuicationsen
dc.subject.keywordPhilosophicalen
dc.subject.keywordMetaphysicsen
dc.subject.keywordNonmonotonicen
thesis.degree.programCampus Monterreyes
refterms.dateFOA2018-03-07T07:31:39Z
refterms.dateFOA2018-03-07T07:31:39Z


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record

info:eu-repo/semantics/openAccess
Except where otherwise noted, this item's license is described as info:eu-repo/semantics/openAccess