Toolbox for Evolutionary Game Theory.

Code for "Nonlinear, Natural, and Noisy: A Quantitative Approach to the Collection and Analysis of Real-World Social Behavior" (Chiovaro & Paxton, under review).

Simulations of flocking behaviour in active agents, using a simple Viscek model

两性关系分析、男性经济、女性经济 | 不当国男、不当国女，让男人女人忘不了你的终极手段 | 一秒分析还要不要继续 | 1000小时线上线下实战积累 | 44条专项两性交往规则

Spreading Processes on Networks

A multi-agent (LLMs) jury deliberation simulation system.

The Friction-Flow framework aims to analyze and track narrative field dynamics in complex social systems, emphasizing the evolution, interaction, and influence of stories.

This repository contains all the code and resources accompanying the paper titled "Messengers: Breaking Echo Chambers in Collective Opinion Dynamics with Homophily"

An interactive Jupyter simulator for COSA and studying nonlinear consensus in multi-agent systems.

Q state Voter model in N-dimensional regular networks (N-dimensional lattice) and complex networks (Albert-Barabasi and Erdos-Renyi).

人情世故：创业和社交场景的现实判断力 Codex skill

Multi-modal system analyzing social media, news, art, and music to predict emerging cultural movements and artistic trends years before they mainstream.

Spatial MultiAgent RL for Epidemic Control with Heterogeneous Risk Preferences

Voter model in N-dimensional regular networks (N-dimensional lattice) and complex networks (Albert-Barabasi and Erdos-Renyi)

The purpose was to study the mood of respondents, what are the predictors of mood among students with different personality types and how do these predictors vary between different time diaries.

A web-based simulation of human behavior using distinct agent types (Leaders, Influencers, Rebels, Observers) with evolving emotions. Explore social dynamics by adjusting parameters like influence and rebellion. Features AI-powered analysis via Google Gemini API to interpret collective trends and emotional shifts.

A stochastic simulation engine for social dynamics. Uses Lanchester Laws and Markov Chains to decode the "dance" of conflict and provide real-time tactical advice (Active/Passive, 3-7-12). Optimized for future AR integration.

Will small variations lead to diverse conversational outcomes? An experiment with conversational agents.

Cross-domain predictive modeling: Monte Carlo + Tails/Markov/HOMER hybrids for physics, finance, social dynamics. Implements 3 predictive pairs from arXiv paper with 2-4x FOM gains: • MoP-Tails: heavy-tail risk (finance crashes) • MCMC-HOMER: energy optimization • HMC-PDMP: physics/social cascades Live Jupyter demos • MIT License • Chicago rese