Language:
English
繁體中文
Help
圖資館首頁
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Frameworks for modeling cognition an...
~
SpringerLink (Online service)
Frameworks for modeling cognition and decisions in institutional environmentsa data-driven approach /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Frameworks for modeling cognition and decisions in institutional environmentsby Joan-Josep Vallbe.
Reminder of title:
a data-driven approach /
Author:
Vallbe, Joan-Josep.
Published:
Dordrecht :Springer Netherlands :2015.
Description:
xx, 232 p. :ill. (some col.), digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Judicial processSpain.
Online resource:
http://dx.doi.org/10.1007/978-94-017-9427-5
ISBN:
9789401794275 (electronic bk.)
Frameworks for modeling cognition and decisions in institutional environmentsa data-driven approach /
Vallbe, Joan-Josep.
Frameworks for modeling cognition and decisions in institutional environments
a data-driven approach /[electronic resource] :by Joan-Josep Vallbe. - Dordrecht :Springer Netherlands :2015. - xx, 232 p. :ill. (some col.), digital ;24 cm. - Law, governance and technology series,v.212352-1902 ;. - Law, governance and technology series ;v.6..
Foreword; Pompeu Casanovas and Pablo Noriega -- Acknowledgements -- 1 Introduction -- Part I Foundations -- 2 Decisions and organizations -- 3 Bounded rationality and organizations -- Part II Data Analysis -- 4 Empirical context -- 5 Representing organizational uncertainty.-- 6 Conclusions and further work -- Index.
This book deals with the theoretical, methodological, and empirical implications of bounded rationality in the operation of institutions. It focuses on decisions made under uncertainty, and presents a reliable strategy of knowledge acquisition for the design and implementation of decision-support systems. Based on the distinction between the inner and outer environment of decisions, the book explores both the cognitive mechanisms at work when actors decide, and the institutional mechanisms existing among and within organizations that make decisions fairly predictable. While a great deal of work has been done on how organizations act as patterns of events for (boundedly) rational decisions, less effort has been devoted to study under which circumstances organizations cease to act as such reliable mechanisms. Through an empirical strategy on open-ended response data from a survey among junior judges, the work pursues two main goals. The first one is to explore the limits of institutional rationality of the Spanish lower courts on-call service, an optimal scenario to observe decision-making under uncertainty. The second aim is to achieve a better understanding of the kind of uncertainty under which inexperienced decision-makers work. This entails exploring the demands imposed by problems and the knowledge needed to deal with them, making this book also a study on expertise achievement in institutional environments. This book combines standard multivariate statistical methods with machine learning techniques such as multidimensional scaling and topic models, treating text as data. Doing so, the book contributes to the collaboration between empirical social scientific approaches and the community of scientists that provide the set of tools and methods to make sense of the fastest growing resource of our time: data.
ISBN: 9789401794275 (electronic bk.)
Standard No.: 10.1007/978-94-017-9427-5doiSubjects--Topical Terms:
711437
Judicial process
--Spain.
LC Class. No.: KKT1785
Dewey Class. No.: 347.4605
Frameworks for modeling cognition and decisions in institutional environmentsa data-driven approach /
LDR
:03243nmm a2200325 a 4500
001
460177
003
DE-He213
005
20150618153001.0
006
m d
007
cr nn 008maaau
008
151110s2015 ne s 0 eng d
020
$a
9789401794275 (electronic bk.)
020
$a
9789401794268 (paper)
024
7
$a
10.1007/978-94-017-9427-5
$2
doi
035
$a
978-94-017-9427-5
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
KKT1785
072
7
$a
LN
$2
bicssc
072
7
$a
LAW051000
$2
bisacsh
082
0 4
$a
347.4605
$2
23
090
$a
KKT1785
$b
.V179 2015
100
1
$a
Vallbe, Joan-Josep.
$3
711436
245
1 0
$a
Frameworks for modeling cognition and decisions in institutional environments
$h
[electronic resource] :
$b
a data-driven approach /
$c
by Joan-Josep Vallbe.
260
$a
Dordrecht :
$b
Springer Netherlands :
$b
Imprint: Springer,
$c
2015.
300
$a
xx, 232 p. :
$b
ill. (some col.), digital ;
$c
24 cm.
490
1
$a
Law, governance and technology series,
$x
2352-1902 ;
$v
v.21
505
0
$a
Foreword; Pompeu Casanovas and Pablo Noriega -- Acknowledgements -- 1 Introduction -- Part I Foundations -- 2 Decisions and organizations -- 3 Bounded rationality and organizations -- Part II Data Analysis -- 4 Empirical context -- 5 Representing organizational uncertainty.-- 6 Conclusions and further work -- Index.
520
$a
This book deals with the theoretical, methodological, and empirical implications of bounded rationality in the operation of institutions. It focuses on decisions made under uncertainty, and presents a reliable strategy of knowledge acquisition for the design and implementation of decision-support systems. Based on the distinction between the inner and outer environment of decisions, the book explores both the cognitive mechanisms at work when actors decide, and the institutional mechanisms existing among and within organizations that make decisions fairly predictable. While a great deal of work has been done on how organizations act as patterns of events for (boundedly) rational decisions, less effort has been devoted to study under which circumstances organizations cease to act as such reliable mechanisms. Through an empirical strategy on open-ended response data from a survey among junior judges, the work pursues two main goals. The first one is to explore the limits of institutional rationality of the Spanish lower courts on-call service, an optimal scenario to observe decision-making under uncertainty. The second aim is to achieve a better understanding of the kind of uncertainty under which inexperienced decision-makers work. This entails exploring the demands imposed by problems and the knowledge needed to deal with them, making this book also a study on expertise achievement in institutional environments. This book combines standard multivariate statistical methods with machine learning techniques such as multidimensional scaling and topic models, treating text as data. Doing so, the book contributes to the collaboration between empirical social scientific approaches and the community of scientists that provide the set of tools and methods to make sense of the fastest growing resource of our time: data.
650
0
$a
Judicial process
$z
Spain.
$3
711437
650
0
$a
Judicial process
$x
Statistical methods.
$3
711438
650
1 4
$a
Law.
$3
207600
650
2 4
$a
International IT and Media Law, Intellectual Property Law.
$3
560593
650
2 4
$a
Political Science, general.
$3
530725
650
2 4
$a
Fundamentals of Law.
$3
558751
650
2 4
$a
Public Administration.
$3
524331
650
2 4
$a
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
$3
274394
650
2 4
$a
Legal Aspects of Computing.
$3
276398
710
2
$a
SpringerLink (Online service)
$3
273601
773
0
$t
Springer eBooks
830
0
$a
Law, governance and technology series ;
$v
v.6.
$3
559979
856
4 0
$u
http://dx.doi.org/10.1007/978-94-017-9427-5
950
$a
Humanities, Social Sciences and Law (Springer-11648)
based on 0 review(s)
ALL
電子館藏
Items
1 records • Pages 1 •
1
Inventory Number
Location Name
Item Class
Material type
Call number
Usage Class
Loan Status
No. of reservations
Opac note
Attachments
000000109684
電子館藏
1圖書
電子書
EB KKT1785 V179 2015
一般使用(Normal)
On shelf
0
1 records • Pages 1 •
1
Multimedia
Multimedia file
http://dx.doi.org/10.1007/978-94-017-9427-5
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login