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...
| Autor Corporativo: | |
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| Otros Autores: | , , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2013.
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| Colección: | Studies in Computational Intelligence ;
474. Springer eBooks. |
| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b33048125*spi |
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.
