Decision Making and Imperfection (Record no. 55479)

000 -LEADER
fixed length control field 03927nam a22004935i 4500
001 - CONTROL NUMBER
control field 978-3-642-36406-8
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200421111839.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130202s2013 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783642364068
-- 978-3-642-36406-8
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
245 10 - TITLE STATEMENT
Title Decision Making and Imperfection
300 ## - PHYSICAL DESCRIPTION
Number of Pages XV, 187 p. 72 illus., 24 illus. in color.
490 1# - SERIES STATEMENT
Series statement Studies in Computational Intelligence,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Dynamic Bayesian Combination of Multiple Imperfect Classifiers -- Distributed Decision Making by Categorically-Thinking Agents -- Automated Preference Elicitation for Decision Making -- Counter-Factual Reinforcement Learning: How To Model Decision-Makers that Anticipate the Future -- Effect of Emotion and Personality on Deviation from Purely Rational Decision-Making -- An Adversarial Risk Analysis Model for an Autonomous Imperfect Decision Agent.
520 ## - SUMMARY, ETC.
Summary, etc 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:   �          how a crowd of imperfect decision makers outperforms experts' decisions;   �          how to decrease decision makers' imperfection by reducing knowledge available;   �          how to decrease imperfection via automated elicitation of DM preferences;   �          a human's limited willingness to master the available decision-support tools as an additional source of imperfection;   �          how 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. .
700 1# - AUTHOR 2
Author 2 Guy, Tatiana V.
700 1# - AUTHOR 2
Author 2 Karny, Miroslav.
700 1# - AUTHOR 2
Author 2 Wolpert, David.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-36406-8
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2013.
336 ## -
-- text
-- txt
-- rdacontent
337 ## -
-- computer
-- c
-- rdamedia
338 ## -
-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence (incl. Robotics).
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1860-949X ;
912 ## -
-- ZDB-2-ENG

No items available.