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

Arbeitspapier

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.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Series: Volkswirtschaftliche Diskussionsreihe ; No. 287

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Firm Organization and Market Structure ; Management of Technological Innovation and R&D ; Innovation and Invention: Processes and Incentives
• Thema: innovation networks ; agent-based modelling ; scale free networks

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Pyka, Andreas ; Gilbert, Nigel ; Ahrweiler, Petra
• Ereignis: Veröffentlichung
• (wer): Universität Augsburg, Institut für Volkswirtschaftslehre
• (wo): Augsburg
• (wann): 2006

Weitere Informationen

• Handle: http://hdl.handle.net/10419/22810
• Letzte Aktualisierung: 10.03.2025, 11:43 MEZ