activity
20202026
most citedEvolving Neural Networks Reveal Emergent Collective Behavior from Minimal Agent Interactions

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

physics.soc-ph2026

Evolved Collectives Combine Complex Internal Representations with Simple Outputs

Guilherme S. Y. Giardini, John F. Hardy, Carlo daCunha

Collective intelligence emerges from local interactions among agents with limited information, yet how internal controller organization relates to emergent collective order remains…

physics.app-ph2025

Impact of Switching Layer Architecture on Power Consumption in RRAM

John F. Hardy, Jack A. Garrard, Guilherme S. Y. Giardini +1

This work demonstrates that porous helical WOx architectures enable a distinct low-power regime for planar ITO/WOx/ITO resistive random-access devices. While thin film and helical…

physics.soc-ph2025

Thermodynamics of Innovation: A Statistical Mechanics Framework of Social Adoption

Guilherme S. Y. Giardini, Carlo R. daCunha

We develop a thermodynamic framework for modeling innovation adoption and abandonment dynamics using statistical mechanics. Starting from a mathematical model for an adoption distr…

nlin.AO2024★ 1 cited

Evolving Neural Networks Reveal Emergent Collective Behavior from Minimal Agent Interactions

Guilherme S. Y. Giardini, John F. Hardy, Carlo R. da Cunha

Understanding the mechanisms behind emergent behaviors in multi-agent systems is critical for advancing fields such as swarm robotics and artificial intelligence. In this study, we…

cond-mat.stat-mech2024

Chain Reaction of Ideas: Can Radioactive Decay Predict Technological Innovation?

Guilherme S. Y. Giardini, Carlo R. da Cunha

This work demonstrates the application of a birth-death Markov process, inspired by radioactive decay, to capture the dynamics of innovation processes. Leveraging the Bass diffusio…

physics.bio-ph2023

Velocities of Mesenchymal Cells May be Ill-Defined

Guilherme S. Y. Giardini, Gilberto L. Thomas, Carlo R. da Cunha +1

The dynamics of single cell migration on flat surfaces is usually modeled by a Langevin-like problem consisting of ballistic motion for short periods and random walk. for long peri…

physics.bio-ph2020

Exact solution for the Anisotropic Ornstein-Uhlenbeck Process

Rita M. C. de Almeida, Guilherme S. Y. Giardini, Mendeli Vainstein +2

Active Matter models commonly consider particles with overdamped dynamics subject to a force (speed) with constant modulus and random direction. Some models include also random noi…