Many real-life decisions have to be taken on the basis of probability judgements of which the decision maker is not entirely sure. This paper develops a decision rule for taking such decisions, which incorporates the decision makerʼs confidence in his probability judgements according to the...

We study first- and second-order subjective expectations (beliefs) in strategic decision-making. We elicit probabilistically both first- and second-order beliefs and apply the method to a Hide-and-Seek experiment. We study the relationship between choice and beliefs in terms of whether observed...

We build on research from neurobiology to model the process through which the brain maps outside evidence into decisions. The sensory system encodes information through cell-firing. Cell-firing is measured against a threshold, and an action is triggered depending on whether the threshold is...

Financial, managerial, and medical decisions often involve alternatives whose possible outcomes have uncertain probabilities. In contrast to alternatives whose probabilities are known, these uncertain alternatives offer the benefits of learning. In repeat-choice situations, such learning brings...

Decision makers are often described as seeking higher expected payoffs and avoiding higher variance in payoffs. We provide some necessary and some sufficient conditions for learning rules, that assume the agent has little prior and feedback information about the environment, to reflect such...

A decision maker (DM) considers the acquisition of a multi-attribute object with uncertain qualities which can be discovered at a cost. DM's problem is to decide how much to invest in the discovery and whether to adopt or discard based on partial information. We characterize the solution in some...

Frequent online poker players with extensive experience calculating probabilities and expected values might be expected to behave as Expected Utility maximizers, in that small shocks to their wealth would not affect risk preferences (Rabin, 2000). By contrast, reference-dependent loss aversion...

This paper studies the temporal path of subjective probability assessments. A reference-dependent agent who experiences utility from anticipation and from changes in this anticipatory emotion makes utility-maximizing assessments about his likelihood of success in a future lottery. Consistent...

Inspired by the social psychology literature, we study the implications of categorical thinking on decision making in the context of a large normal form game. Every agent has a categorization (partition) of her opponents and can only observe the average behavior in each category. A strategy...