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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Decision Modeling and Behavior in Complex and Uncertain Environments

Decision Modeling and Behavior in Complex and Uncertain Environments

Smith, J. Cole
Connolly, Terry
Kugler, Tamar

Hardcover

Series: Springer Optimization and Its Applications, Book 21

General Mathematics

ISBN10: 0387771301
ISBN13: 9780387771304
Publisher: Springer
Published: Jul 31 2008
Pages: 364
Weight: 1.40
Height: 0.90 Width: 6.20 Depth: 9.30
Language: English
On February 27 and 28 of 2006, the University of Arizona held a workshop entitled, Decision Modeling and Behavior in Uncertain and Complex En- ronments, sponsored by the Air Force O?ce of Scienti?c Research under a Multidisciplinary University Research Initiative (MURI) grant. The purpose of the workshop was to assemble preeminent researchers studying problems at the interface of behavioral and cognitive science, decision analysis, and operations research. This book is a compilation of 14 chapters based on the presentations given during the workshop. These contributions are grouped into four general areas, which describe in some detail the challenges in conducting novel research in this ?eld. Part One is concerned with the need for integrating decision analysis and behavioral models. Robert T. Clemen discusses how the ?elds of behavioral - search and decision analysis have diverged over time, and makes a compelling case to establish new links between the disciplines. He recommends leveraging lessons learned from behavioral studies within prescriptive decision analysis studies and evaluating the practical impact of those prescriptive techniques in helping decision makers achieve their objectives. Jenna L. Marquard and Stephen M. Robinson address eleven common traps that face decision model analysts and users. An understanding of these traps leads to an understanding of modeling features that either help or hurt the decision-making process. The authors link theory and practice by examining a set of case studies across a diverse array of model scenarios, and provide a checklist of recommendations for analysts confronted by these eleven traps.

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