‘Transforming knowledge and learning through agent based modeling’
Professor of Learning Sciences, Center for Connected Learning and Computer Based Modeling, Northwestern Institute on Complex Systems, Northwestern University
Tuesday 18th November, 12.30-14.00 Seminar Room 1, Oxford Martin School
The past two decades have seen a proliferation of computational agent based models in science, business and policy. Such models enable connecting individual or micro level behaviors with population or macro level phenomena. Using agent based representations can dramatically transform how we conceptualize knowledge domains and how we learn them. In this talk I situate the agent based representation in the history of scientific representations. Drawing examples from the design and use of the NetLogo agent based modeling environment, I make the case for agent based representations as infrastructural to science and that it is time to initiate universal literacy in agent based modeling.