Decision Making with Imperfect Decision Makers

• Corporate Author: SpringerLink (Online service)
• Other Authors: Guy, Tatiana Valentine (Editor), Kárný, Miroslav (Editor), Wolpert, David H. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
• Series: Intelligent Systems Reference Library, 28
• Subjects: Engineering.; Artificial intelligence.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).

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...