In financial markets an excess of buying tends to drive prices up, and an excess of selling tends to drive them down. This is called market impact. Based on a simplified model for market making, it is possible to derive a unique functional form for market impact. This can be used to formulate a...

In the present paper I introduce the revelation principle of bounded rationality. The principle states that any behavior that a model of bounded rationality exhibits can be implemented as the choice of an agent with preferences and beliefs consistent with Savage-Bayesian rationality. The...

We propose a method for modelling economic systems in which outcomes depend locally on the predictions that agents make of other agents. We develop populations games in which each agent adaptively searches for a good model of its environment. We demonstrate that such systems can exhibit...

In this paper, we construct a general model of diverse problem solvers of limited abilities. We use this model to derive two main results: (1) a collection of diverse, bounded problem solvers can locate optimal solutions to difficult problems and (2) a collection of problem solvers of diverse...

A model in which heterogeneous agents form firms is described and empirically tested. Each agent has preferences for both income and leisure and provides a variable input ('effort') to production. There are increasing returns to cooperation, and agents self-organize into productive teams. Within...

We present a model of opinion dynamics in which agents adjust continuous opinions as a result of random binary encoun ters whenever their difference in opinion is below a given threshold. High thresholds yield convergence of opinions towards an average opinion, whereas low thresholds result in...

The paper describes the application of Genetic Algorithms to a Resource Economics problem; the decision about the intensity of exploitation of a renewable resource. Genetic Algorithms, developed by HOLLAND (1975), are a model of biological evolution, that captures some important features of...

An agent-based computational model of Long House Valley, in northern Arizona near Monument Valley, is described and demontrated. The model, that runs from about AD 400 to 1400, consists of artificial adaptive agents (households) who inhabit a digitized version of the Long House Valley landscape....

Physicists have recently begun doing research in finance, and even though this movement is less than five years old, interesting and useful contributions have already emerged. This article reviews these developments in four areas, including empirical statistical properties of prices,...