Stochastic multicriteria acceptability analysis using achievement functions (SMAAA) is a preference model for discrete-choice decision making that inverts the traditional goal programming process by asking what combinations of aspirations are necessary to make each alternative the preferred one, rather than what alternative is preferred given a set of aspirations. In this paper, we test the abi...

Many practitioners currently use rules of thumb to price tasks on online labor markets. Incorrect pricing leads to task starvation or inefficient use of capital. Formal pricing policies can address these challenges. In this paper we argue that a pricing policy can be based on the trade-off between price and desired completion time. We show how this duality can lead to a better pricing policy fo...

WITTMAN HAS WRITTEN A CHARACTERISTICALLY ENGAGING response to my critique. While he emphasizes his continued disagreement with me, I am struck by the important concessions he makes. In particular, he has virtually abandoned the rational expectations assumption that drives his trademark results. This retreat has a high price, because his new watered-down standards of rationality are consistent w...

An advisory committee with common values and asymmetric information provides a recommendation to a decision maker facing a binary choice. We investigate the effect of a transparency requirement—requiring committee members’ actions to be observable—on the committee’s ability to influence the decision maker. We show that unless the preferences of the committee and decision maker are sufficiently ...

In this paper, we study the effects of introducing contrarians in a model of Opinion Dynamics where the agents have internal continuous opinions, but exchange information only about a binary choice that is a function of their continuous opinion, the CODA model. We observe that the hung election scenario still exists here, but it is weaker and it shouldn’t be expected in every election. Finally,...

Questions that require counting a variety of objects in images remain a major challenge in visual question answering (VQA). The most common approaches to VQA involve either classifying answers based on fixed length representations of both the image and question or summing fractional counts estimated from each section of the image. In contrast, we treat counting as a sequential decision process ...

We propose a framework for nonparametric identification and estimation of discrete choice models with unobserved sets. recover the joint distribution sets preferences from panel dataset on choices. assume that either latent are sparse or is sufficiently long. Sparsity requires number possible to be relatively small. It satisfied, instance, when nested, they form partition. Our procedure comp...