dc.contributorUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T15:29:30Z
dc.date.accessioned2022-10-05T16:54:21Z
dc.date.available2014-05-20T15:29:30Z
dc.date.available2022-10-05T16:54:21Z
dc.date.created2014-05-20T15:29:30Z
dc.date.issued1999-01-01
dc.identifierArtificial Intelligence In Education. Amsterdam: I O S Press, v. 50, p. 645-647, 1999.
dc.identifier0922-6389
dc.identifierhttp://hdl.handle.net/11449/39085
dc.identifierWOS:000084508300082
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3910267
dc.description.abstractThis paper shows a comparative study between the Artificial Intelligence Problem Solving and the Human Problem Solving. The study is based on the solution by many ways of problems proposed via multiple-choice questions. General techniques used by humans to solve this kind of problems are grouped in blocks and each block is divided in steps. A new architecture for ITS - Intelligent Tutoring System is proposed to support experts' knowledge representation and novices' activities. Problems are represented by a text and feasible answers with particular meaning and form, to be rigorously analyzed by the solver to find the right one. Paths through a conceptual space of states represent each right solution.
dc.languageeng
dc.publisherIOS Press
dc.relationArtificial Intelligence In Education
dc.relation0,198
dc.rightsAcesso aberto
dc.sourceWeb of Science
dc.subjectartificial intelligence
dc.subjectproblem solving
dc.subjecthuman problem solving
dc.subjectknowledge representation
dc.subjectintelligent tutoring systems
dc.titleCombining artificial intelligence and human problem solving: Proposing a new architecture for ITS's
dc.typeTrabalho apresentado em evento


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