Decision Modeling and Behavior in Complex and Uncertain Environments (Springer Optimization and Its Applications, 21)

ISBN 10: 1441926461 / ISBN 13: 9781441926463

Edité par Springer, 2010

A propos de cet article

In.

N° de réf. du vendeur ria9781441926463_new

Détails bibliographiques

• Titre: Decision Modeling and Behavior in Complex and Uncertain Environments (Springer Optimization and Its Applications, 21)
• Éditeur: Springer
• Date de parution: 2010
• Langue: anglais
• ISBN à 10 chiffres: 1441926461
• ISBN à 13 chiffres: 9781441926463
• Reliure: Couverture souple
• État de l'article: New

A propos de ce titre

Synopsis

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.

Présentation de l'éditeur

This volume is comprised of 14 research papers that were presented by pre-eminent scholars at the University of Arizona's Workshop on Decision Modeling and Behavior in Complex and Uncertain Environments. The book is divided into four themes that integrate decision analysis with behavioral models, provide innovations in behavioral model analysis, explore descriptive behavior models, and present several unique applications. Each self-contained chapter is followed by an extensive list of references. The cutting-edge research discusses a broad range of topics such as the Non-Euclidean Traveling Salesman Problem, agricultural decision-making in the Argentine Pampas, and the repeated Prisoner's dilemma. The content of the material makes interdisciplinary connections and offers several open research directions. This book is intended for graduate students, researchers, and mathematicians interested in decision-making research and analysis.