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Centre for Employment Studies
Modelling
innovation networks: a two-level approach
Petra Ahrweiler *
Andreas Pyka **
Nigel Gilbert ***
Abstract
The authors have been developing a simulation model of innovation
networks over the past five years. The aim of the model is to
encapsulate a complex theory of innovation (i.e. the successful
exploitation of new ideas) in a form that is clear, precise, extensible
and capable of empirical testing. A multi-agent simulation embodying an
initial theory of innovation networks has been built and used to
suggest a number of policy-relevant conclusions. It has been reported
elsewhere (see for example, http://jasss.soc.surrey.ac.uk/4/3/8.html).
Agents in the model representing firms, policy actors, research labs,
etc. each have a knowledge base that they use to generate ‘artefacts’
that they hope will be innovations. In the original model, the success
of the artefacts is judged by an 'oracle' that evaluates each artefact
using a criterion that is not available to the agents. Agents are able
to follow strategies to improve their artefacts either on their own
(through incremental improvement or by radical changes), or by
seeking partners to contribute additional knowledge. It has been
shown though experiments with the model's parameters that it is
possible to reproduce qualitatively the characteristics of
innovation networks in two sectors: personal and mobile communications
and biotechnology. In this paper, we shall briefly summarise this
previous model and then
describe work in progress to extend the model to cover market behaviour
as well as the knowledge level behaviour that we focussed on
previously. In the new model, firms can trade knowledge as well as
collaborate. The 'black box' that was the oracle in the previous
model is replaced by the activities of the other firms in the market.
This means that firms are having to operate in a changing environment
in which innovations made by one firm affect the opportunities
available to the others at both the knowledge and the market levels.
*
University of Hamburg, Arbeitsstelle Medien und Politik
** Austrian Research Centers; Systems Research
*** Sociology, University of Surrey
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