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Springer Decision Making with Imperfect Decision Makers - Vol 28

11 black & white illustrations, 39 colou

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Description

Explore the complexities of human choice in Springer's Decision Making with Imperfect Decision Makers. While prescriptive Bayesian decision making is algorithmically mature, real-world data reveals that decision makers often choose sub-optimal paths. This volume, part of the Intelligent Systems Reference Library (Volume 28), examines why these deviations occur and how they function within interacting societies. Moving beyond traditional economic, game theoretic, and physics perspectives, this text investigates the inherent features of imperfect decision-making in real-world environments. It is a specialized resource for those studying AI, machine learning, and the gap between mathematical optimality and human behavior.

Key Features

Part of the Intelligent Systems Reference Library, specifically volume 28.

Published by Springer, a leading name in academic and technical literature.

Analyzes the gap between Bayes-optimal decisions and real-world sub-optimal choices.

Explores decision-making processes within the context of interacting societies.

Provides a perspective on imperfect decision-making beyond standard economic and game theoretic models.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
05 November 2011
Listed Since
07 September 2011

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