SIMULATING KNOWLEDGE-GENERATION AND DISTRIBUTION PROCESSES IN INNOVATION COLLABORATIONS AND NETWORKS

Andreas Pyka · Nigel Gilbert · Petra Ahrweiler

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Innovation and Knowledge Management Multi-Agent Systems and Negotiation Innovation Diffusion and Forecasting

Abstract

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 heterogenous agents that have individual and varying stocks of knowledge. The 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 aim of the simulation exercises is to show that the artificial innovation networks show certain characteristics they share with innovation networks in knowledge intensive industries and which are difficult to be integrated in traditional models of industrial economics.

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References

1986Research in Organizational Behavior.1989Innovation and Learning: The Two Faces of R & D 1988Cooperative and Noncooperative R&D in Duopoly With Spillovers 2005Network Dynamics and Field Evolution: The Growth of Interorganizational Collaboration in the Life Sciences 1981How Organizations Learn and Unlearn 2003The Diversity of Modern Capitalism 1998Sociological research online 1982Handbook of Organizational DesignHandbook of Organizational Design. Vol. 1: Remodeling Organizations and Their Environments, 560 pp., $29.95; Vol. 2: Remodeling Organizations and Their Environments, 552 pp., $29.95 ($55.00 the set). NyStromPaul C. and StarbuckWilliam H. (Eds.) New York: Oxford University Press, 1981.

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2014The evolution of innovation networks: the case of a publicly funded German automotive network 2013Innovation networks 2017The impact of individual collaborative activities on knowledge creation and transmission 2014R&D and knowledge dynamics in university-industry relationships in biotech and pharmaceuticals: an agent-based model 2016

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