Preface -- Improving and Measuring the Effectiveness of Decision Analysis: Linking Decision Analysis and Behavorial Decision Research -- Reducing Perceptual and Cognitive Challenges in Making Decisions with Models -- Agricultural Decision-Making in the Argentine Pampas: Modeling the Interaction between Uncertain and Complex Environments and Heterogeneous and Complex Decision Makers -- On Optimal Satisficing: How Simple Policies Can Achieve Excellent Results -- There are Many Models of Transitive Preference: A Tutorial Review and Current Perspective -- Integrating Compensatory and Noncompensatory Decision Making Strategies in Dynamic Task Environments -- Repeated Prisoner's Dilemma and Battle of Sexes Games: A Simulation Study -- Individual Values and Social Goals in Environmental Decision Making -- Does More Money Buy You More Happiness? -- Cognitive Biases Affect the Acceptance of Tradeoff Studies -- Valuation of Vague Prospects with Mixed Outcomes -- Collective Search in Concrete and Abstract Spaces -- Braess Paradox in the Laboratory: Experimental Study of Route Choice in Traffic Networks with Asymmetric Costs -- Non-Euclidean Traveling Salesman Problem .

This text is devoted to examining new research at the interface of operations research, behavioral and cognitive sciences, and decision analysis. In these 14 self-contained chapters, four themes emerge, providing the reader with a variety of perspectives both theoretic and applied to meet the challenges of devising models to understand the decision-making process. The main broad topics include: ·the integration of decision analysis and behavioral models ·innovations in behavioral models ·exploring descriptive behavior models ·experimental studies From the cognitive behaviorist who collects empirical evidence as to how people make decisions to the engineer and economist who are the consumers of such understanding, the reader encounters the familiar Traveling Salesman Problem and Prisoner's dilemma, how agricultural decisions are made in Argentina's Pampas region, and some social goals that come into play as an element of rational decision-making. Decision Modeling and Behavior in Complex and Uncertain Environments will benefit graduate students, mathematicians, engineers, psychologists, and other scientists .