activity
19972023
most citedOpinion Dynamics of Learning Agents: Does Seeking Consensus Lead to Disagreement?

32 citations · 217 across the 24 of their papers we have counts for

collaborators

24 papers

cond-mat.stat-mech2023

Integrated Information, a Complexity Measure for optimal partitions

Otavio Citton, Nestor Caticha

Motivated by the possible applications that a better understanding of consciousness might bring, we follow Tononi's idea and calculate analytically a complexity index for two syste…

cond-mat.stat-mech2022★ 1 cited

Interacting Dreaming Neural Networks

Pietro Zanin, Nestor Caticha

We study the interaction of agents, where each one consists of an associative memory neural network trained with the same memory patterns and possibly different reinforcement-unlea…

physics.soc-ph2021

Homo Entropicus, the emotional agent and societies of Neural Networks

Felippe Alves, Nestor Caticha

A neural network with a learning algorithm optimized by information theory entropic dynamics is used to build an agent dubbed Homo Entropicus. The algorithm can be described at a m…

physics.soc-ph2021

Frustration, glassy behavior and dynamical annealing in societies of Neural Networks

Felippe Alves, Nestor Caticha

We study maximum entropy mechanisms of information exchange between agents modeled by neural networks and the macroscopic states of a society of such agents in a few situations. Ma…

physics.soc-ph2016★ 4 cited

Phase transition from egalitarian to hierarchical societies driven by competition between cognitive and social constraints

Nestor Caticha, Rafael Calsaverini, Renato Vicente

Empirical evidence suggests that social structure may have changed from hierarchical to egalitarian and back along the evolutionary line of humans. We model a society subject to co…

q-bio.QM2015

Backward Renormalization Priors and the Cortical Source Localization Problem with EEG or MEG

Leonardo S. Barbosa, Nestor Caticha

We study source localization from high dimensional M/EEG data by extending a multiscale method based on Entropic inference devised to increase the spatial resolution of inverse pro…