Innovation as an Emerging System Property: an Agent Based Model.

The paper elaborates the notion of innovation as an emerging property of complex system dynamics and presents an agent-based model of an economy where systemic knowledge interactions among heterogeneous agents are crucial for the generation of new technological knowledge and the introduction of innovations. In this approach external knowledge is an indispensable input,together with internal learning and research activities, into the generation of new knowledge. The introduction of innovations is analyzed as the result of systemic interactions among myopic agents that are credited with an extended procedural rationality that includes forms of creative reaction. The creative reaction of agents may lead to the introduction of productivity enhancing innovations. This takes place only when the structural and institutional characteristics of the system are such that agents, reacting to out-of equilibrium conditions, can actually take advantage of external knowledge available within the innovation system into which they are embedded. Building upon agentbased simulation techniques the paper explores the effects that alternative configurations of the intellectual property right regimes play in assessing the chances to generate new technological knowledge and shows how the different architectural configurations of the structure into which knowledge interactions take place affect the rates of introduction of technological innovations. The results of the simulation model suggest that the dissemination of knowledge favors the emergence of creative reactions and hence faster rates of introduction of technological innovations.