18 citations · 67 across the 17 of their papers we have counts for
5 papers · 1 filter
Metric Similarity and Manifold Learning of Circular Dichroism Spectra of Proteins
Gionni Marchetti
We present a machine learning analysis of circular dichroism spectra of globular proteins from the SP175 database, using the optimal transport-based -Wasserstein distance $\math…
Generalized Naming Game and Bayesian Naming Game as Dynamical Systems
Gionni Marchetti
We study the -model (-NG) and the Bayesian Naming Game (BNG) as dynamical systems. By applying linear stability analysis to the dynamical system associated with the -model…
The Role of bilinguals in the Bayesian naming game
Gionni Marchetti, Marco Patriarca, Els Heinsalu
We study the recently introduced Bayesian naming game model, in which the one-shot learning of the minimal naming game is replaced by a more realistic learning process defined acco…
A Bird's-Eye View of Naming Game Dynamics: From Trait Competition to Bayesian Inference
Gionni Marchetti, Els Heinsalu, Marco Patriarca
The present contribution reviews a set of different versions of the basic naming game model, differing in the underlying topology or in the mechanisms regulating the interactions b…
A Bayesian Approach to the Naming Game Model
Gionni Marchetti, Marco Patriarca, Els Heinsalu
We present a novel Bayesian approach to semiotic dynamics, which is a cognitive analogue of the naming game model restricted to two conventions. The one-shot learning that characte…