Simulating knowledge dynamics in innovation networks (SKIN)

Petra Ahrweiler, Andreas Pyka and Nigel Gilbert
Additional contact information
Petra Ahrweiler: Research Center Media and Politics, Institute for Political Science, University of Hamburg, Germany
Nigel Gilbert: School of Human Sciences, University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom

No 267, Discussion Paper Series from Universitaet Augsburg, Institute for Economics

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 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 interactions between the agents occur on two levels: through a market with firms supplying and consuming goods for a price, and through the exchange of knowledge. A brief description of the implementation of the model and its user interface is given.

Keywords: innovation networks; agent-based modelling (search for similar items in EconPapers)
JEL-codes: L22 O31 O32 (search for similar items in EconPapers)
Date: 2004-12
New Economics Papers: this item is included in nep-cbe, nep-cmp and nep-ino
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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https://opus.bibliothek.uni-augsburg.de/opus4/files/71188/267.pdf (application/pdf)

Related works:
Chapter: SIMULATING KNOWLEDGE DYNAMICS IN INNOVATION NETWORKS (SKIN) (2004)
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Persistent link: https://EconPapers.repec.org/RePEc:aug:augsbe:0267

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