Why do we believe that more money will buy us more happiness (when in fact it does not)? In this paper, we propose a model to explain this puzzle. The model incorporates both adaptation and social comparison. A rational person who fully accounts for the dynamics of these factors would indeed buy...

Using a survey study of 261 decisions under uncertainty, we explore the factors that explain risk taking behavior and those that predict the importance of a decision. We also examine the relationship between framing and status quo, the similarity between monetary and non-monetary decisions, as...

We introduce a modification of the discounted utility model that accounts for both habituation and satiation in intertemporal choice. Habituation level and satiation level are state variables that induce changes in preferences as those states vary. We examine several properties of our model,...

We consider a resource allocation problem in which time is the principal resource. Utility is derived from time-consuming leisure activities, as well as from consumption. To acquire consumption, time needs to be allocated to income generating activities (i.e., work). Leisure (e.g., social...

Several studies have reported high performance of simple decision heuristics multi-attribute decision making. In this paper, we focus on situations where attributes are binary and analyze the performance of Deterministic-Elimination-By-Aspects (DEBA) and similar decision heuristics. We consider...

We approach the problem of preference aggregation by endowing both individuals and coalitions with partially-ordered or incomplete cardinal preferences. Consistency across preferences for coalitions comes in the form of the Extended Pareto Rule: if two disjoint coalitions A and B prefer x to y,...

Expected utility of net present value is the practitioner's approach to incorporate risk aversion into the evaluation of a project's cash flows. The discount rate and the convergence with the risk-neutral beta-adjusted approach from finance have always been a question. To fill this gap, we adopt...

The classic sequential search problem rewards the decision-maker with the highest sampled value, minus the sampling cost. If the sampling distribution is unknown, then a Bayesian decision-maker faces a complex balance between learning and optionality. We solve the stopping problem of sampling...

Trend indicators aim to visualize the effect of input assumptions and parameters into model output. Their use is increasingly important, especially when the output is generated by a black box algorithm. We investigate the properties of several trend indicators used in simulation and machine...