Bounded Rationality in Decision Making Under Uncertainty Towards Optimal Granularity is popular PDF and ePub book, written by Joe Lorkowski in 2017-07-01, it is a fantastic choice for those who relish reading online the Technology & Engineering genre. Let's immerse ourselves in this engaging Technology & Engineering book by exploring the summary and details provided below. Remember, Bounded Rationality in Decision Making Under Uncertainty Towards Optimal Granularity can be Read Online from any device for your convenience.
Bounded Rationality in Decision Making Under Uncertainty Towards Optimal Granularity Book PDF Summary
This book addresses an intriguing question: are our decisions rational? It explains seemingly irrational human decision-making behavior by taking into account our limited ability to process information. It also shows with several examples that optimization under granularity restriction leads to observed human decision-making. Drawing on the Nobel-prize-winning studies by Kahneman and Tversky, researchers have found many examples of seemingly irrational decisions: e.g., we overestimate the probability of rare events. Our explanation is that since human abilities to process information are limited, we operate not with the exact values of relevant quantities, but with “granules” that contain these values. We show that optimization under such granularity indeed leads to observed human behavior. In particular, for the first time, we explain the mysterious empirical dependence of betting odds on actual probabilities. This book can be recommended to all students interested in human decision-making, to researchers whose work involves human decisions, and to practitioners who design and employ systems involving human decision-making —so that they can better utilize our ability to make decisions under uncertainty.
Detail Book of Bounded Rationality in Decision Making Under Uncertainty Towards Optimal Granularity PDF
- Author : Joe Lorkowski
- Release : 01 July 2017
- Publisher : Springer
- ISBN : 9783319622149
- Genre : Technology & Engineering
- Total Page : 167 pages
- Language : English
- PDF File Size : 19,9 Mb
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