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Heterogeneous Collective Opinion Dynamics

Collective Systems
Network Science
Modelling & Sim
AI & ML
Bayesian
Probabilistic Modeling
Multi-Agent Systems
Python
Data Analysis
Complex Systems
Heterogeneous Collective Opinion Dynamics

About

Overview

This collaborative project introduces a Bayesian framework for opinion dynamics, moving beyond deterministic models to formally model uncertainty within social networks.

Research Goals

  • Model Uncertainty: Treat opinions as probability distributions.
  • Heterogeneity: Investigate the impact of network topology and information quality.
  • Consensus Dynamics: Analyze how collective consensus evolves in complex systems.
  • Resilient AI: Offer insights for designing resilient multi-agent AI systems.

Links

Source Code Paper