Agent-based Simulation of Cooperative Innovation

This paper introduces an agent-based simulation model representing the dynamic processes of cooperative R&D in the manufacturing sector of South Korea. Firms¡¯ behaviors were defined according to empirical findings on a dataset from the internationally standardized Korean Innovation Survey in 2005. Simulation algorithms and parameters were defined based on the determinants on firms¡¯ likelihood to participate in cooperation with other firms when conducting innovation activities. The calibration process was conducted to the point where artificially generated scenarios were equivalent to the one observed in the real world. The aim of this simulation game was to create a basic implementation that could be extended to test different policies strategies in order to observe sector responses (including cross-sector spillovers) when promoting cooperative innovation.