Resource title

Simulating Knowledge-Generation and -Distribution Processes in Innovation Collaborations and Networks

Resource image

image for OpenScout resource :: Simulating Knowledge-Generation and -Distribution Processes in Innovation Collaborations and Networks

Resource description

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 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.

Resource author

Andreas Pyka, Nigel Gilbert, Petra Ahrweiler

Resource publisher

Resource publish date

Resource language

eng

Resource content type

text/html

Resource resource URL

http://hdl.handle.net/10419/22810

Resource license

Adapt according to the presented license agreement and reference the original author.