Title: InnoScape: a creative artificial ecosystem model of innovation and boundary processes in epistemic communities

Authors: G. Zou; L. Yilmaz

Addresses: Department of Computer Science and Software Engineering, Auburn University, Auburn, AL 36849, USA ' Department of Computer Science and Software Engineering, Auburn University, Auburn, AL 36849, USA

Abstract: As the science enterprise becomes increasingly complex and interdisciplinary, implementing policies that foster collective creativity for science-based innovation emerges as a critical issue. In this paper, we introduce a general-purpose model to study dynamic processes of collective creativity in scientific communities. An exploratory study based on agent simulation is conducted to better understand how innovation capacity and sustainability of the innovation ecosystem relate to interaction topologies, culture and resource allocation strategies. Experimental results indicate that communities, by building highly connected clusters under low to moderate resource availability, can produce epistemic cultures with high degrees of sustainability. Additionally, priority-based investment coupled with technology transferring improves diversity within the science-based innovation ecosystem.

Keywords: collective creativity; agent-based modelling; innovation processes; scientific communities; creative artificial ecosystems; agent-based systems; multi-agent systems; simulation; innovation ecosystems; epistemic culture; resource allocation; sustainability; sustainable development.

DOI: 10.1504/IJSPM.2012.049826

International Journal of Simulation and Process Modelling, 2012 Vol.7 No.4, pp.275 - 289

Received: 03 Aug 2011
Accepted: 07 Mar 2012
Published online: 15 Nov 2014 *

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