Dual-process theories view decisions as the result of the interaction of two qualitatively different types of processes, automatic/impulsive and controlled/deliberative. This paper considers a model of self-control where each decision can be taken by either an automatic process or a deliberative...

We analyze the long-run outcome of markets in which boundedly rational firms with a decreasingreturns to scale technology compete in prices. The behavior of these firms is based on limitation ofsuccess and experimentation. In this framework, we introduce a new approach to model boundedlyrational...

The traditional model of sequential decision making, for instance, in extensive form games, is a tree. Most texts define a tree as a connected directed graph without loops and a distinguished node, called the root. But an abstract graph is not a domain for decision theory. Decision theory...

We study competition among market designers who create new trading platforms, when boundedly rational traders learn to select among them. We ask whether efficient platforms, leading to market - clearing trading outcomes, will dominate the market in the long run. If several market designers are...

This paper analyzes a learning model where sophisticated market designers create new trading platforms and boundedly rational traders select among them. We ask wether "Walrasian'''' platforms, leading to efficient (market - clearing) trading outcomes, will dominate the market in the long run. If...

no abstract available.

We use a 15-item self-report questionnaire known as “Faith in Intuition” to measure reliance on intuitive decision making, and ask whether the latter correlates with behavioral biases involving a failure of Bayesian updating. In a first experiment, we find that higher report scores are...

We consider minimum-effort games played in an arbitrary network. For a family of imitation behavioral rules, including Imitate the Best and the Proportional Imitation Rule, we show that inefficient conventions arise independently of the interaction structure, if information is limited to the...

We consider a signaling model where the senderʼs continuation value after signaling depends on his type, for instance because the receiver is able to update his posterior belief. As a leading example, we introduce Bayesian learning in a variety of environments ranging from simple two-period to...

We provide a general formal framework to define and analyze the concepts of focal points and frames for normal form games. The information provided by a frame is captured by a symmetry structure which is consistent with the payoff structure of the game. The set of symmetry structures has itself...