Understanding epistemic grouping, networking and division of labour: What can simple macroscopic models do? - a podcast by MCMP Team

Rainer Hegelmann (Bayreuth) gives a talk at the MCMP Colloquium (15 January, 2014) titled "Understanding epistemic grouping, networking and division of labour: What can simple macroscopic models do?". Abstract: In my talk I’ll start with a minimalistic model of opinion dynamics, the so-called bounded confidence model. Then I present stepwise extensions. In the end we have a model with cognitive division of labor and different epistemic groups, all of them engaged in networking of all sorts. Some of the groups are seeking for the truth or try to climb upwards in cliffy epistemic landscapes. Other groups simply follow the truth seekers and climbers. – As a result we get a simulator that allows, for instance, to analyse cost and benefits of networking and grouping, measured in terms of societal distance to the truth.

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