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Pluralism of rival models in network models of science

The authors propose a theoretical and experimental model comparing communities of agents that hold rival theories side by side with communities that fold everything they hear into a single model. The work builds on Feyerabend's idea of theoretical pluralism, where coexistence of incompatible theories helps science work.

Why it matters

It offers a formal way to compare rival models in collective analysis, useful for selecting and ensembling models of large systems.

Original headline
Can Network Models of Science Do Without Pluralist Agents?
Read the original: arXiv — Multiagent Systems (cs.MA)

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