Market Dynamics and Technical Change
Agent-based modeling is a computational approach used to simulate the interactions of autonomous agents within a defined environment to understand complex systems and phenomena. This modeling technique allows researchers to explore how individual behaviors and interactions can lead to emergent patterns at the macro level, particularly relevant in understanding dynamics like critical mass and tipping points in networked markets.
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