EURACE: A massively parallel agent-based model of the European economy

EURACE is a major European attempt to construct an agent-based model of the European economy with a very large population of autonomous, purposive agents interacting in a complicated economic environment. To create it, major advances are needed, in particular in terms of economic modeling and software engineering. In this paper, we describe the general structure of the economic model developed for EURACE and present the Flexible Large-scale Agent Modeling Environment (FLAME) that will be used to describe the agents and run the model on massively parallel supercomputers. Illustrative simulations with a simplified model based on EURACE’s labor market module are presented.

[1]  Blake LeBaron,et al.  Agent-based computational finance : Suggested readings and early research , 2000 .

[2]  Leigh Tesfatsion,et al.  Handbook of Computational Economics, Volume 2: Agent-Based Computational Economics (Handbook of Computational Economics) , 2006 .

[3]  Klaus Schredelseker,et al.  Complexity and Artificial Markets , 2008 .

[4]  Qub Montrkal,et al.  Genetic algorithm learning and the cobweb model , 2002 .

[5]  Herbert Dawid,et al.  Agent-based Models of Innovation and Technological Change , 2006 .

[6]  Ke Chen,et al.  Applied Mathematics and Computation , 2022 .

[7]  Hans M. Amman,et al.  Handbook of Computational Economics , 1996 .

[8]  I. Overview Agent-Based Modeling of Evolutionary Economic Systems , 2001 .

[9]  Leigh Tesfatsion,et al.  Agent-Based Computational Economics: Growing Economies From the Bottom Up , 2002, Artificial Life.

[10]  Herbert Dawid,et al.  Production and Finance in EURACE , 2008 .

[11]  Samuel Eilenberg,et al.  Automata, languages, and machines. A , 1974, Pure and applied mathematics.

[12]  Herbert Dawid,et al.  On the convergence of genetic learning in a double auction market , 1999 .

[13]  Leigh Tesfatsion,et al.  Introduction to the CE Special Issue on Agent-Based Computational Economics , 2001 .

[14]  Fagiolo Giorgio,et al.  Special issue on "Agent-Based Models for Economic Policy Design" , 2008 .

[15]  Berndt Farwer,et al.  ω-automata , 2002 .

[16]  L. Tesfatsion Agent-based computational economics : A constructive approach to economic theory , 2006 .

[17]  Nicolaas J. Vriend,et al.  Evolving market structure: An ACE model of price dispersion and loyalty , 2001 .

[18]  S. Seshu,et al.  Introduction to the theory of finite-state machines , 1963 .

[19]  M. Marchesi,et al.  Scaling and criticality in a stochastic multi-agent model of a financial market , 1999, Nature.

[20]  G. Fagiolo,et al.  Agent-based models for economic policy design: Introduction to the special issue , 2008 .

[21]  Mike Holcombe,et al.  FROM MOLECULES TO INSECT COMMUNITIES - HOW FORMAL AGENT BASED COMPUTATIONAL MODELLING IS UNCOVERING NEW BIOLOGICAL FACTS , 2006 .

[22]  Gilbert Thomas Laycock,et al.  The theory and practice of specification based software testing , 1993 .

[23]  Herbert Dawid,et al.  Skills, Innovation, and Growth: An Agent-Based Policy Analysis , 2008 .

[24]  W. Hamilton,et al.  The Evolution of Cooperation , 1984 .

[25]  R. Palmer,et al.  Characterizing effective trading strategies: Insights from a computerized double auction tournament , 1994 .