Decision Making with Imperfect Decision Makers

Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. However, experimental data shows that real decision makers choose such Bayes-optimal decisions surprisingly infrequently, often making decisions that are badly sub-optimal. So prevalent...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Guy, Tatiana Valentine (Editor ), Kárný, Miroslav (Editor ), Wolpert, David H. (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Edición:1st ed. 2012.
Colección:Intelligent Systems Reference Library, 28
Temas:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 1 Bounded Rationality in Multiagent Systems Using Decentralized Metareasoning
  • 2 On Support of Imperfect Bayesian Participants
  • 3 Trading value and information in MDPs
  • 4 Game theoretic modeling of pilot behavior during mid-air encounters
  • 5 Scalable Negotiation Protocol based on Issue-Grouping for Highly Nonlinear Situation
  • 6 The Social Ultimatum Game
  • 7 Neuroheuristics of Decision Making: from neuronal activity to EEG.

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