Andreas Pyka, Nigel Gilbert, Petra Ahrweiler
Simulating Knowledge-Generation and -Distribution Processes in Innovation Collaborations and Networks
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 al-lows the representation of
heterogeneous 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.
JEL: O31, O32, L22
Paper:
Paper available as pdf-file.
Beitrag Nr. 287, Volkswirtschaftliche Diskussionsreihe, Institut
für
Volkswirtschaftslehre der Universität Augsburg
Contact:
Andreas
Pyka, University of Augsburg, Department of Economics,
Universitätsstr. 16, D-86159 Augsburg, Phone +49-821-598-4179, Fax
+49-821-598-4229
Nigel Gilbert,
School of Human Sciences, University of Surrey, Guildford, Surrey, GU2
7XH, United Kingdom
Petra
Ahrweiler, Research Center Media and Politics, Institute for
Political Science, University of Hamburg, Germany
v.
K., 16.08.2006