Research
Network Models of Science Compare Pluralist vs. Monist Agents in Belief Dynamics
This paper introduces a multi-agent variational inference model to test Feyerabend's theoretical pluralism, comparing communities of agents that can hold rival theories simultaneously against monist agents that maintain a single model. Experiments show how pluralist communities undergo uncertainty and theory shifts, how inter-community communication affects beliefs under differing observations, and how sharing theory support versus sharing beliefs within theories differently shape collective dynamics. The work provides a computational framework for studying scientific belief evolution.
multi-agent variational inferencebelief dynamicsscientific communities