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dc.contributor.authorDimopoulos, Yannisen
dc.contributor.authorMoraïtis, Pavlosen
dc.contributor.authorTsoukiàs, A.en
dc.contributor.editorZhong N.en
dc.contributor.editorBradshaw J.en
dc.contributor.editorPal S.K.en
dc.contributor.editorTalia D.en
dc.contributor.editorLiu J.en
dc.contributor.editorCercone N.en
dc.creatorDimopoulos, Yannisen
dc.creatorMoraïtis, Pavlosen
dc.creatorTsoukiàs, A.en
dc.description.abstractDecision Aiding can be abstractly described as the process of assisting a user/client/decision maker by recommending possible courses of his action. This process has to be able to cope with incomplete and/or inconsistent information for the following reasons. First, the recommendations provided during this process depend heavily on the environment the decision is made. Since complete knowledge of this environment is almost impossible, decision aiding has to be carried out under incomplete information. Second, the decision aiding process also depends on the preferences of its user. However, such subjective information is affected by uncertainty, possible inconsistencies and is dynamically revised due to the time dimension of decision aiding. A complete description of a model of the user is also almost impossible, therefore a decision aiding process must also account for this source of incompleteness. This paper presents a model of Decision Aiding that is amenable to automation and shows how it can be embedded in autonomous agents and thus give them the capability to provide decision aiding to a human user or to completely substitute him for some decision task. The whole process is modelled in an suitable argumentation framework that treats Decision Aiding as an iterative defeasible reasoning process. © 2004 IEEE.en
dc.sourceProceedings - IEEE/WIC/ACM International Conference on Intelligent Agent Technology. IAT 2004en
dc.sourceProceedings - IEEE/WIC/ACM International Conference on Intelligent Agent Technology. IAT 2004en
dc.subjectProblem solvingen
dc.subjectMathematical modelsen
dc.subjectDecision theoryen
dc.subjectVirtual realityen
dc.subjectAutonomous agentsen
dc.subjectUser interfacesen
dc.subjectCognitive systemsen
dc.subjectCognitive artifactsen
dc.subjectDecision aidingen
dc.subjectReasoning processesen
dc.titleArgumentation based modeling of decision aiding for autonomous agentsen
dc.description.endingpage105 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied SciencesΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeConference Objecten
dc.description.notes<p>Sponsors: IEEE Computer Societyen
dc.description.notesWeb Intelligence Consortium, WICen
dc.description.notesConference code: 64530en
dc.description.notesCited By :3</p>en
dc.contributor.orcidDimopoulos, Yannis [0000-0001-9583-9754]

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