To isolate the impact of the assumption of model-consistent expectations, this paper proposes a baseline case in which households are individually rational, have full information and learn using forecast rules specified as in the minimum state variable representation of the economy. Applying...

The literature on multi-agent models up until recently has been mainly concerned with the price dynamics in a setting where agents are allowed to switch between a finite number of strategies.In reality, however, we would expect a high degree of heterogeneity, such that few belief types will...

This paper develops the notion of a Large Type Limit (LTL) describing the average behavior of adaptive evolutionary systems with many trader types. It is shown that generic and persistent features of adaptive evolutionary systems with many trader types are well described by the large type limit....

This work aims at connecting developments in the theory of agency and implicit contracts with research on bounded rationality and agent based computational models. These are two related areas as implicit contracts are justified on the basis of bounded rationality, which additionally is one of...

Many models of monetary policy predict a trade-off between inflation and output variance despite compelling evidence that the Federal Reserve has become more aggressive in fighting inflation and there has been a resulting decline in both inflation and output variance. We address this apparent...

We develop a learning rule that generalises the well known fading memory learning in the sense that the weights attached to the available time series data are not constant and are updated in light of the prediction error(s). The underlying idea is that confidence in the available data will be...

This paper examines the implications of a 'strong' version of bounded rationality popular within computational and evolutionary game theory in which agents are represented by finite automata. It is argued that this view has unrealistic features in that agents of this kind are unable to...

Cyclical or chaotic competitive equilibria that do not exist under perfect foresight are shown to occur in a decentralized growth model under constant gain adaptive learning. This paper considers an economy populated by boundedly rational households making one-period ahead constant gain adaptive...

A well known problem in economics is to describe properly a situation where N agents are repeatedly competing to use the same limited resource. A version of this problem is known in the literature as the El Farol game: week after week N agents face the decision whether to go or not to go to a...