基于Agent的计算经济学的经典期刊和基本技能要求

经典期刊：

Journal of Artificial Societies and Social Simulation (on-line);

Computational Economics;

Journal of Economic Behavior and Organization;

Games and Economic Behavior;

Journal of EconomicDynamics and Control;

Complexity;

For weekly news items, including

Complexity Digest (on line)

基本能力要求：

1.Master the mathematical and statistical tools that are commonly used in ABM by studying basic

mathematical analysis (especially probability theory and non-linear dynamics), game theory, and

elementary statistics (e.g., hypothesis testing and regression).

2.Learn a programming language so that you can try your hand at building and running your own

agent-based models. For younger beginners, we recommend StarLogo. For older beginners, we

ecommend a language with object-oriented capabilities such as Java, C++, or C#, supplemented

with an agent-based toolkit (see below).Another possibility is Matlab, which is steadily

increasing its ABM capabilities.

3.Explore the agent-based toolkits that are available to assist agent-based modelers with common

tasks such as constructing agents and displaying output in the form of tables, charts, graphs,

and movies. For example, Repast is specifically designed for agent-based modeling in the social

sciences and supports model development in many different programming languages and on virtually

all modern computing platforms. Another possibility is NetLogo, a cross-platform multi-

agent.programming environment. Both Repast and NetLogo are actively maintained and freely

available, and their relative ease of use has attracted growing communities of users.

4.Explore special journal issues devoted to agent-based modeling and related themes.These

include: American Behavioral Scientist (Vol. 42, August 1999); Science (Vol.284, April 1999);

Journal of Economic Dynamics and Control (Vol. 25, Nos. 3-4,2001), Computational Economics (Vol.

18, No. 1, 2001); and the Proceedings ofthe National Academy of Sciences, USA (Vol. 99,

Supplement 3, 2002).

5.For a wonderful introduction to computational aspects of complex systems, includingfractals,

chaos, cellular automata, neural networks, and a helpful glossary of terms,we highly recommend

Gary William Flake, The Computational Beauty of Nature(1998, MIT Press, Cambridge, MA).

ps：据A GUIDE FOR NEWCOMERS TO AGENT-BASED MODELINGIN THE SOCIAL SCIENCES整理