Computational organization theory
Computational organization theory
An introduction to genetic algorithms
An introduction to genetic algorithms
Simulating society: a Mathematica toolkit for modeling socioeconomic behavior
Simulating society: a Mathematica toolkit for modeling socioeconomic behavior
Making Organizational Learning Operational: Implications from Learning Classifier Systems
Computational & Mathematical Organization Theory
Agent Based Approach for Social Complex Systems - Management of Constructed Social World
Community Computing and Support Systems, Social Interaction in Networked Communities [the book is based on the Kyoto Meeting on Social Interaction and Communityware, held in Kyoto, Japan, in June 1998]
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In this paper, we formulate a multi-agent model of virtual high-tech industry by agent-based simulation. We introduce a classifier system as a decision-making tool of agent who makes its decision depending on the rules in the classifier system. Firm agent determines how much R&D investment and product investment it will spend. We assumed three different types of firm agents in our virtual societies, in which each different agent has a different goal. Agents of different types have different evaluation functions; also agents may change their goals (evaluation functions) when they have survival problem in industry. We verify the Schumpeter Hypothesis and effect of industrial policies in our virtual high-tech industry. We found that the difference in speed at which technology increases, when comparing imitation and innovation, affects the effectiveness of patent policy.