Agent-based computational economics (ACE) is the computational study of economies modelled as evolving decentralized systems of autonomous interacting agents. A key focus of ACE research is understanding how global regularities arise from the bottom up, through the repeated local interactions of...

Artificial life (alife) is the bottom-up study of basic phenomena commonly associated with living agents, such as self- replication, evolution, adaptation, self-organization, exploitation, competition, cooperation, and social network formation. Alife complements the traditional biological and...

I study equilibrium selection by an evolutionary process in an environment with multiple equilibria, one of which involves a banking panic. The analysis is built on a repeated version of the Diamod-Dybvig (1983) model. The optimal (run free) equilibrium is uniquely selected if it is also "risk...

This statement outlines the objectives and policies of the new journal, Macroeconomic Dynamics, which is dedicated to the advancement of macroeconomics as a science. This Editorial is to appear at the front of the first issue of that journal and is copyright by Cambridge University Press.

This study presents, motivates, and illustrates the use of a computational laboratory for the investigation of evolutionary trade network formation among strategically interacting buyers, sellers, and dealers. The computational laboratory, referred to as the Trade Network Game Laboratory (TNG...

The most important issues in auction design are the traditional concerns of competition policy-preventing collusive, predatory, and entry deterring behaviour. Ascending and uniform-price auctions are particularly vulnerable to these problems (we discuss radiospectrum and football TV-rights...

This is an Invited paper for the World Congress of the Econometric Society held in Seattle in August 2000. We discuss the strong connections between auction theory and "standard" economic theory, and argue that auction-theoretic tools and intuitions can provide useful arguments and insights in a...

It would be interesting and scientifically rewarding to investigate the possibilities of designing a "sheltered" situation room for the Information Technologies and Telecommunications services and products market. The proposed framework might be employed during any phase of the life cycle of an...

This short paper isolates a non-trivial class of games for which there exists a monotone relation between the size of pure strategy spaces and the number of pure Nash equilibria (Theorem). This class is that of two- player nice games, i.e., games with compact real intervals as strategy spaces...

This paper addresses the question of whether neural networks, a realistic cognitive model of the human information processing, can learn to backward induce in a two stage game with a unique subgame-perfect Nash Equilibrium. The result that the neural networks only learn a heuristic that...