This essay provides an introduction to our recent work on robust mechanism design. The objective is to provide an overview of the research agenda and its results. We present the main results and illustrate many of them in terms of a common and canonical example, the single unit auction with...

The mechanism design literature assumes too much common knowledge of the environment among the players and planner. We relax this assumption by studying implementation on richer type spaces, with more higher order uncertainty. We study the "ex post equivalence" question: When is interim...

We say that a social choice rule is implementable with (small) transfers if one can design a mechanism whose set of equilibrium outcomes coincides with that specified by the rule but the mechanism allows for (small) ex post transfers among the players. We then show in private-value environments...

Neeman (2004) and Heifetz and Neeman (2006) have shown that, in auctions with incomplete information about payoffs, full surplus extraction is only possible if agents’ beliefs about other agents are fully informative about their own payoff parameters. They argue that the set of...

A number of studies, most notably Cr?mer and McLean (1985, 1988), have shown that in Harsanyi type spaces of a fixed finite size, it is generically possible to design mechanisms that extract all the surplus from players, and as a consequence, implement any outcome as if the players’ private...

Ample psychological evidence suggests that people’s learning behavior is often prone to a "myside bias" or "irrational belief persistence" in contrast to learning behavior exclusively based on objective data. In the context of Bayesian learning such a bias may result in diverging...

This paper considers the dynamic evolution of algorithmic (recursive) learning rules in a normal form game. It is shown that the system - the population frequencies - is globally stable for any arbitrary N-player normal form game, if the evolutionary process is algorithmic and the "birth...

Psychological evidence suggests that people’s learning behavior is often prone to a “myside bias†or “irrational belief persistence†in contrast to learning behavior exclusively based on objective data. In the context of Bayesian learning such a bias may result in...

Multi-product firms are modelled as locally interacting entities that gather information on the profitability of product combinations in an environment defined in terms of their currently supplied markets. They learn from their own past play. Local information gathering may slow down convergence...

We incorporate information measures representing knowledge into an evolutionary model of coevolving firms and markets whereby the growing orderliness of firms potentiates a predictable progression of market exchange innovations which themselves become beneficial only with the growing orderliness...