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

Andreas Pyka, Nigel Gilbert, Petra Ahrweiler · 2007 · Cybernetics & Systems

Summary. This paper presents an agent-based simulation model that represents how knowledge generation and distribution work in innovation networks. The model captures heterogeneous agents with different knowledge stocks, uncertainty, learning from experience and collaboration, and the effects of failure. The simulation demonstrates that artificial innovation networks exhibit characteristics matching real innovation networks in knowledge-intensive industries, revealing dynamics that traditional economic models cannot capture.

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@article{pyka-2007-simulating-knowledge-generation-distribution-processes,
  title   = {SIMULATING KNOWLEDGE-GENERATION AND DISTRIBUTION PROCESSES IN INNOVATION COLLABORATIONS AND NETWORKS},
  author  = {Andreas Pyka and Nigel Gilbert and Petra Ahrweiler},
  journal = {Cybernetics & Systems},
  year    = {2007},
  doi     = {10.1080/01969720701534059},
  url     = {https://doi.org/10.1080/01969720701534059}
}

TY  - JOUR
TI  - SIMULATING KNOWLEDGE-GENERATION AND DISTRIBUTION PROCESSES IN INNOVATION COLLABORATIONS AND NETWORKS
AU  - Andreas Pyka
AU  - Nigel Gilbert
AU  - Petra Ahrweiler
JO  - Cybernetics & Systems
PY  - 2007
DO  - 10.1080/01969720701534059
UR  - https://doi.org/10.1080/01969720701534059
ER  - 

Details

DOI

10.1080/01969720701534059

Countries

Germany, United Kingdom

Regions

Europe

Categories

innovation-networks, innovation-theory, general-innovation

Added

2026-04-28