A stylized fact from laboratory experiments is that there is much heterogeneity in human behavior. We present and demonstrate a computationally practical non-parametric Bayesian method for characterizing this heterogeneity. In addition, we define the concept of behaviorally distinguishable...

We report experimental results using a multi-task for simple two-player, two- stage extensive-form games. It is suggested that by creating the perception of a "level playing field" the participants are relieved of responsibility for others since competition on a level playing field is presumed...

"In the future data communication networks interoperability becomes critical from both technological and business strategy perspective. Significance of interoperability has to be evaluated in terms of the overall economic performance of the system. In this paper we will present our view of the...

A stylized fact from laboratory experiments is that there is much heterogeneity in human behavior. We present and demonstrate a computationally practical non-parametric Bayesian method for characterizing this heterogeneity. In addition, we define the concept of behaviorally distinguishable...

Most important economic decision problems are sequential, and thus naturally represented as Markov Decision Problems (MDP). After reviewing the theory of MDPs, the applicability of MDPs to real-life sequential decisions appears impractical. The central question addressed in this essay is how...

A stylized fact from laboratory experiments is that there is much heterogeneity in human behavior. We present and demonstrate a computationally practical non-parametric Bayesian method for characterizing this heterogeneity. In addition, we define the concept of behaviorally distinguishable...

We prove that every well-defined behavioral rule can be interpreted as being optimization-based. Therefore, the categorical distinction between boundedly-rational behavior and optimization-based behavior asserted by Harstad and Selten (2013) does not entail a substantive difference

How well do various learning models predict the dynamics of the population distribution of play in a variety of games? We measure and compare the in-sample and out-of-sample prediction performance of seven action-reinforcement learning models as well as Rule Learning for symmetric normal-form...

We test the population rule learning model for symmetric normal-form games, and strongly reject: (i) no rule learning, (ii) no diversity, and (iii) no sophisticated evidence. Further, trembles and herd behavior decline and level-2 behavior increases over time