This chapter explores the potential advantages and disadvantages of Agent-based Computational Economics (ACE) for the study of economic systems. General points are concretely illustrated using an ACE model of a two-sector decentralized market economy. Six issues are highlighted: Constructive...

This paper presents a general C++ platform for the implementation of a trade network game (TNG) that combines evolutionary game play with preferential partner selection. In the TNG, successive generations of resource constrained traders choose and refuse trade partners on the basis of...

An evolutionary trade network game (TNG) is proposed for studying the interplay between evolutionary game dynamics and preferential partner selection in various market contexts with distributed adaptive agents. The modular form of the TNG facilitates experimentation with alternative...

This paper presents a summary overview of the fast-developing field of "artificial life," stressing aspects that seem especially relevant for the study of decentralized market economies. In particular, recent artificial life work combining evolutionary game theory with preferential partner...

This paper develops a Trade Network Game (TNG) that combines evolutionary game play with endogenous partner selection. Resource- constrained buyers and sellers choose and refuse trade partners on the basis of continually updated expected payoffs. Partner selection takes place in accordance with...

Abstract not available

The entry describes the basic agent-based computational economics methodology and provides a brief review of the literature.

Abstract not available

Abstract not available

Abstract not available