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Decision Theory and Multi-Agent Planning / edited by Giacomo Riccia, Didier Dubois, Rudolf Kruse, Hanz-Joachim Lenz.

Por: Colaborador(es): Tipo de material: TextoTextoSeries CISM International Centre for Mechanical Sciences, Courses and Lectures ; 482Editor: Vienna : Springer Vienna, 2006Descripción: xI, 198 páginas recurso en líneaTipo de contenido:
  • texto
Tipo de medio:
  • computadora
Tipo de portador:
  • recurso en línea
ISBN:
  • 9783211381670
Formatos físicos adicionales: Edición impresa:: Sin títuloClasificación LoC:
  • QA273.A1-274.9
Recursos en línea:
Contenidos:
Making decisions from weighted arguments -- Qualitative Preference Modelling in Constraint Satisfaction -- MCDA — Multi-Criteria Decision Making in e-commerce -- Some Recent Results and Open Questions in Distributed Resource Allocation -- Logical representation of preference: a brief survey -- Possibility Theory and its Applications: a Retrospective and Prospective view -- Efficient computation of project characteristics in a series-parallel activity network with interval durations -- Graphical Models for Industrial Planning on Complex Domains -- On Markov decision models with an absorbing set -- Automated Behavior Modeling — Recognizing and Predicting Agent Behavior -- Features of Emotional Planning in Software Agents.
Resumen: The work presents a modern, unified view on decision support and planning by considering its basics like preferences, belief, possibility and probability as well as utilities. These features together are immanent for software agents to believe the user that the agents are "intelligent".
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Making decisions from weighted arguments -- Qualitative Preference Modelling in Constraint Satisfaction -- MCDA — Multi-Criteria Decision Making in e-commerce -- Some Recent Results and Open Questions in Distributed Resource Allocation -- Logical representation of preference: a brief survey -- Possibility Theory and its Applications: a Retrospective and Prospective view -- Efficient computation of project characteristics in a series-parallel activity network with interval durations -- Graphical Models for Industrial Planning on Complex Domains -- On Markov decision models with an absorbing set -- Automated Behavior Modeling — Recognizing and Predicting Agent Behavior -- Features of Emotional Planning in Software Agents.

The work presents a modern, unified view on decision support and planning by considering its basics like preferences, belief, possibility and probability as well as utilities. These features together are immanent for software agents to believe the user that the agents are "intelligent".

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