Simulating knowledge dynamics in innovation networks using MAS
Petra Ahrweiler
Research Centre Media and Politics, Institute for
Political Science, University of Hamburg, Germany
An agent-based simulation model representing a theory of the dynamic
processes involved in innovation in modern knowledge-based industries
is described. The agent-based approach allows the representation of
heterogeneous agents that have individual and varying stocks of
knowledge. The SKIN simulation is able to model uncertainty,
historical change, effect of failure on the agent population, and
agent learning from experience, from individual research and from
partners and collaborators. The interactions between the agents occur
on two levels: through a market with firms supplying and consuming
goods for a price, and through the exchange of knowledge. A brief
description of the implementation of the model and its user interface
is given.
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