Plan Prediction Which Policy is Preferred by Which People? /

This book develops an innovative system, in the form of an "app", that harnesses the power of the internet to predict which sorts of people will prefer which policy in ANY planning situation. It chronicles the accumulated research wisdom behind the system’s reasoning, along with several le...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Wyatt, Ray (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2017.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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020 |a 9783319464305  |9 978-3-319-46430-5 
024 7 |a 10.1007/978-3-319-46430-5  |2 doi 
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100 1 |a Wyatt, Ray.  |e author. 
245 1 0 |a Plan Prediction  |h [electronic resource] :  |b Which Policy is Preferred by Which People? /  |c by Ray Wyatt. 
264 1 |a Cham :  |b Springer International Publishing :  |b Imprint: Springer,  |c 2017. 
300 |a XVII, 276 p. 4 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
505 0 |a Figures & Definitions -- Preface -- School -- College -- Career -- Practicality -- Productivity -- Prudence -- A System -- Responses -- Reverse Engineering the System -- Acknowledgements -- Endnotes -- Further Reading. 
520 |a This book develops an innovative system, in the form of an "app", that harnesses the power of the internet to predict which sorts of people will prefer which policy in ANY planning situation. It chronicles the accumulated research wisdom behind the system’s reasoning, along with several less successful approaches to policy making that have been found wanting in the past – including the myth, usually peddled by strategic planners, that it is possible to find a "best" plan which optimally satisfies everybody. The book lays out an entirely new kind of Planning Support System (PSS). It will facilitate decision-making that is far more community-sensitive than previously, and it will drastically improve the performance of anyone who needs to plan within socially-sensitive contexts – which is all of us. A standout feature of the system is its commitment to “scientific rigour”, as shown by its predicted plan scores always being graphically presented within error margins so that true statistical significance is instantly observable. Moreover, the probabilities that its predictions are correct are always shown – a refreshing change from most, if not all other Decision Support Systems (DSS) that simply expect users to accept their outputs on faith alone. 
650 0 |a Engineering. 
650 0 |a Operations research. 
650 0 |a Decision making. 
650 0 |a Public policy. 
650 0 |a System theory. 
650 0 |a Engineering economics. 
650 0 |a Engineering economy. 
650 1 4 |a Engineering. 
650 2 4 |a Engineering Economics, Organization, Logistics, Marketing. 
650 2 4 |a Public Policy. 
650 2 4 |a Operation Research/Decision Theory. 
650 2 4 |a Systems Theory, Control. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319464299 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-46430-5  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)