Decision Making and Imperfection

Decision making (DM) is ubiquitous in both natural and artificial systems. The decisions made often differ from those recommended by the axiomatically well-grounded normative Bayesian decision theory, in a large part due to limited cognitive and computational resources of decision makers (either art...

Descripción completa

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Guy, Tatiana V. (Editor ), Karny, Miroslav (Editor ), Wolpert, David (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
Edición:1st ed. 2013.
Colección:Studies in Computational Intelligence, 474
Temas:
Computational intelligence.
Artificial intelligence.
Computational Intelligence.
Artificial Intelligence.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Dynamic Bayesian Combination of Multiple Imperfect Classifiers
  • Distributed Decision Making by Categorically-Thinking Agents
  • Automated Preference Elicitation for Decision Making
  • Counter-Factual Reinforcement Learning: How To Model Decision-Makers that Anticipate the Future
  • Effect of Emotion and Personality on Deviation from Purely Rational Decision-Making
  • An Adversarial Risk Analysis Model for an Autonomous Imperfect Decision Agent.

Ejemplares similares