Decision Making with Imperfect Decision Makers
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2016
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Prescriptive Bayesian decision making has reached a high level of maturity and is well-supported algorithmically. Can we extend existing prescriptive theories for perfect decision makers to make them useful for imperfect ones?
- ISBN-13
- 9783662507001
- ISBN-10
- 3662507005
- Publisher
- Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
- Year
- 2016
- Publication date
- 2016-08-23
- Pages
- 195
- Dimensions
- 234x155x15
- Weight
- 332