Uncertainty and Risk: Mental, Formal, Experimental Representations. Theory and Decision Library, Series Ugame Theory, Mathematical Programming and Operations Research.
Foundations.- Conjectures, Refutations and Discoveries: Incorporating New Knowledge in Models of Belief and Choice under Uncertainty.- When an Event Makes a Difference.- Countable Additivity and the Foundations of Bayesian Statistics.- On the Quantification and Decomposition of Uncertainty.- The Importance of Representational Tools in Understanding Behaviour Under Uncertainty and Risk.- Preference for Diversification with Similarity Considerations.- Uncertainty Improves the Second-Best.- Lorenz Meets Rating but Misses Valuation.- A Deeper Look at Hyperbolic Discounting.- The Assessment of Several Alternative Decision Rules.- "Take-the-Best" and Other Simple Strategies: Why and When They Work "Well" with Binary Cues.- On Generalized Secretary Problems.- Voting on Alternatives or on Criteria? The Meta-Decision on Group Decision Procedures.- Models of Risk Attitude Modelling and Methodological Issues.- Probabilistic Risk Analysis Versus Decision Analysis: Similarities, Differences and Illustrations.- A Conjoint Measurement Based Rationale for Inducing Preferences.- Active Search for Probability Information and Recall Performance: Is Probability an Outstanding Element in the Mental Representation of Risky Decisions?.- Evolutionary Analysis of Risk Attitudes in Competitive Bidding Environments Using Simulation.- Behavior in Risky Decisions: Focus on Risk Defusing.
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