Agent-based modeling and simulation: Desktop ABMS
Agent-based modeling and simulation: Desktop ABMS
复制标题
DOI：
10.1109/wsc.2007.4419592
复制
发表时间：
2007-12
期刊：
影响因子：
--
通讯作者：
C. Macal;M. North
中科院分区：
文献类型：
--
作者：
C. Macal;M. North
基于Agent的建模与仿真（ABMS）是一种新的建模方法，由自治的，相互作用的代理组成的系统。ABMS有望对企业使用计算机支持决策和研究人员使用电子实验室支持研究的方式产生深远的影响。有些人甚至认为ABMS是“做科学的第三种方式”，除了传统的演绎和归纳推理（Axelrod 1997 b）。计算的进步使得越来越多的基于代理的模型跨越各种应用领域成为可能。应用范围从股票市场，供应链和消费者市场中的代理行为建模，到预测流行病的传播，生物战的威胁以及导致古代文明衰落的因素。本教程描述了ABMS的理论和实践基础，确定了开发代理模型的工具包和方法，并说明了使用电子表格开发一个简单的基于代理的购物者行为模型。
Agent-based modeling and simulation (ABMS) is a new approach to modeling systems comprised of autonomous, interacting agents. ABMS promises to have far-reaching effects on the way that businesses use computers to support decision-making and researchers use electronic laboratories to support their research. Some have gone so far as to contend that ABMS "is a third way of doing science," in addition to traditional deductive and inductive reasoning (Axelrod 1997b). Computational advances have made possible a growing number of agent-based models across a variety of application domains. Applications range from modeling agent behavior in the stock market, supply chains, and consumer markets, to predicting the spread of epidemics, the threat of bio-warfare, and the factors responsible for the fall of ancient civilizations. This tutorial describes the theoretical and practical foundations of ABMS, identifies toolkits and methods for developing agent models, and illustrates the development of a simple agent-based model of shopper behavior using spreadsheets.