PLOS Complex Systems (original) (raw)

01/14/2026

research article

A generalized Bayesian framework for maximizing information gain and model selection

This work presents a novel Bayesian Optimal Experiment Design Selection principle for generalised parameter distributions. The generalization is achieved by extending the β-information gain to the discrete distributions. The β-information gain is based on what is known as the Bhattacharyya coefficient.

Image credit: Robert Clark

01/13/2026

research article

A typology of rules for knowledge exchange in higher-order interactions

Through ‘social learning’, ideas and behaviours can spread quickly through our social networks. Previously, researchers have mainly described these social networks using ‘dyadic’ approaches that only consider connections between pairs of individuals at a time. The authors classify different ways that social learning occurs in groups and provide a list of and mathematical formulae for many potential rules for how knowledge is exchanged in these contexts.

Image credit: Buddha Elemental 3D