عنوان

Decision making and imperfection

(Number (ISBN

3642364055

(Number (ISBN

3642364063

(Number (ISBN

3642446388

(Number (ISBN

9783642364051

(Number (ISBN

9783642364068

(Number (ISBN

9783642446382

Number

b567786

Title Proper

Decision making and imperfection

General Material Designation

[Book]

First Statement of Responsibility

Tatiana V. Guy, Miroslav Kárný, and David H. Wolpert (eds.).

Place of Publication, Distribution, etc.

Berlin ; New York

Name of Publisher, Distributor, etc.

Springer

Date of Publication, Distribution, etc.

©2013.

Specific Material Designation and Extent of Item

xv, 187 pages : illustrations (some color) ; 24 cm.

Series Title

Studies in computational intelligence, 474.

Text of Note

Dynamic Bayesian Combination of Multiple Imperfect Classifiers / Edwin Simpson, Stephen Roberts, Ioannis Psorakis --; Distributed Decision Making by Categorically-Thinking Agents / Joong Bum Rhim, Lav R. Varshney, Vivek K. Goyal --; Automated Preference Elicitation for Decision Making / Miroslav Kárný --; Counter-Factual Reinforcement Learning: How to Model Decision-Makers That Anticipate the Future / Ritchie Lee, David H. Wolpert, James Bono --; Effect of Emotion and Personality on Deviation from Purely Rational Decision-Making / Marina Fiori, Alessandra Lintas, Sarah Mesrobian --; An Adversarial Risk Analysis Model for an Autonomous Imperfect Decision Agent / Javier G. Rázuri, Pablo G. Esteban, David Ríos Insua.

Text of Note

Decision making (DM) is ubiquitous in both natural and artificial systems. The decisions made often differ from those recommended by the axiomatically well-grounded normative Bayesian decision theory, in a large part due to limited cognitive and computational resources of decision makers (either artificial units or humans). This state of a airs is often described by saying that decision makers are imperfect and exhibit bounded rationality. The neglected influence of emotional state and personality traits is an additional reason why normative theory fails to model human DM process. The book is a joint effort of the top researchers from different disciplines to identify sources of imperfection and ways how to decrease discrepancies between the prescriptive theory and real-life DM. The contributions consider: ʺhow a crowd of imperfect decision makers outperforms experts' decisions; ʺhow to decrease decision makers' imperfection by reducing knowledge available; ʺhow to decrease imperfection via automated elicitation of DM preferences; ʺa human's limited willingness to master the available decision-support tools as an additional source of imperfection; ʺhow the decision maker's emotional state influences the rationality; a DM support of edutainment robot based on its system of values and respecting emotions. The book will appeal to anyone interested in the challenging topic of DM theory and its applications.

Bayesian statistical decision theory.

Decision making -- Data processing.

Uncertainty (Information theory)

Class number

Book number

Tatiana V. Guy, Miroslav Kárný, and David H. Wolpert (eds.).

David H Wolpert

M Kárný

Tatiana Valentine Guy

Electronic name

[Book]

Y