Decision Making: Uncertainty, Imperfection, Deliberation and Scalability

Decision Making: Uncertainty, Imperfection, Deliberation and Scalability

ISBN-10:
331935020X
ISBN-13:
9783319350202
Pub. Date:
02/24/2016
Publisher:
Springer International Publishing
ISBN-10:
331935020X
ISBN-13:
9783319350202
Pub. Date:
02/24/2016
Publisher:
Springer International Publishing
Decision Making: Uncertainty, Imperfection, Deliberation and Scalability

Decision Making: Uncertainty, Imperfection, Deliberation and Scalability

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Overview

This volume focuses on uncovering the fundamental forces underlying dynamic decision making among multiple interacting, imperfect and selfish decision makers.

The chapters are written by leading experts from different disciplines, all considering the many sources of imperfection in decision making, and always with an eye to decreasing the myriad discrepancies between theory and real world human decision making.

Topics addressed include uncertainty, deliberation cost and the complexity arising from the inherent large computational scale of decision making in these systems.

In particular, analyses and experiments are presented which concern:

• task allocation to maximize “the wisdom of the crowd”;

• design of a society of “edutainment” robots who account for one anothers’ emotional states;

• recognizing and counteracting seemingly non-rational human decision making;

• coping with extreme scale when learning causality in networks;

• efficiently incorporating expert knowledge in personalized medicine;

• the effects of personality on risky decision making.

The volume is a valuable source for researchers, graduate students and practitioners in machine learning, shastic control, robotics, and economics, among other fields.


Product Details

ISBN-13: 9783319350202
Publisher: Springer International Publishing
Publication date: 02/24/2016
Series: Studies in Computational Intelligence , #538
Edition description: Softcover reprint of the original 1st ed. 2015
Pages: 184
Product dimensions: 6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Bayesian Methods for Intelligent Task Assignment in Crowdsourcing Systems.- Designing Societies of Robots.- On the Origins of Imperfection and Apparent Non-Rationality.- Lasso Granger Causal Models: Some Strategies and their Efficiency for Gene Expression Regulatory Networks.- Cooperative Feature Selection in Personalized Medicine.- Imperfect Decision Making and Risk Taking are affected by Personality.

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