6 papers
Emergent Discrimination and Polarization in Multi-Agent Systems
Nestor Caticha, João Henrique Sant'Ana, Felippe Alves +5
We study theoretically how discrimination and polarization can emerge in a population of learning agents. Each agent uses an adaptive linear decision layer to map a language-model…
Kolmogorov--Arnold Networks for Small Language Models
Felippe Alves, Renato Vicente
Kolmogorov--Arnold Networks (KANs) replace fixed node activations with learned one-dimensional edge functions, offering an explicit interface for interpretation and a possible alte…
Moral Susceptibility and Robustness under Persona Role-Play in Large Language Models
Davi Bastos Costa, Felippe Alves, Renato Vicente
Large language models (LLMs) increasingly operate in social contexts, motivating analysis of how they express and shift moral judgments. In this work, we investigate the moral resp…
The futility of being selfish in vaccine distribution
Felippe Alves, David Saad
We study vaccine budget-sharing strategies in the SIR (Susceptible-Infected-Recovered) model given a structured community network to investigate the benefit of sharing vaccine acro…
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…
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…