A preliminary test of Hunt's General Theory of Competition: using artificial adaptive agents to study complex and ill-defined environments

Nicholas S.P. Tay; Robert F. Lusch

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A preliminary test of Hunt's General Theory of Competition: using artificial adaptive agents to study complex and ill-defined environments

机译：亨特的通用竞争理论的初步测试：使用人工自适应代理研究复杂且不确定的环境

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摘要

Business environments are complex and ill-defined. New developments in evolutionary computing allow the realistic modeling of complex and ill-defined business environments. Evolutionary computing tools are used to build a competitive market that mimics Hunt's General Theory of Competition (HGTC), in which competition is disequilibrium provoking and both innovation and organizational learning are endogenous. A discussion illustrates how this form of simulation can be valuable to the business strategist and also serve as an alternative method for competitive market strategy research.

机译：业务环境复杂且定义不清。进化计算的新发展允许对复杂且定义不明确的业务环境进行逼真的建模。进化计算工具用于构建模仿亨特的通用竞争理论（HGTC）的竞争市场，在该理论中，竞争是不均衡的，而创新和组织学习都是内生的。讨论说明了这种形式的模拟如何对业务战略家有价值，并可以用作竞争性市场战略研究的替代方法。

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来源
《Journal of Business Research》 |2005年第9期|p.1155-1168|共14页
作者
Nicholas S.P. Tay; Robert F. Lusch;
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作者单位

Department of Economics and Finance, University of Dayton, 300 College Park, Dayton, OH 45469-2251, United States;

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原文格式 PDF
正文语种 eng
中图分类贸易经济;
关键词
marketing strategy; agent-based model; genetic algorithms; competition; game theory;

机译：营销策略;基于代理的模型;遗传算法;竞争;博弈论;

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A preliminary test of Hunt's General Theory of Competition: using artificial adaptive agents to study complex and ill-defined environments

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