Adarian 是一个面向公共突发事件舆情研判场景的多智能体推演系统,基于 宏微观结合(Macro-Micro Linkage) 的舆情推演系统。通过让多个具有独立人格的 LLM 驱动智能体在微型社交网络中进行多轮交互,观察群体情绪的涌现与演化,最终识别多个平行世界的风险类型并生成舆情研判报告。
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Updated
Jul 27, 2026 - Python
Adarian 是一个面向公共突发事件舆情研判场景的多智能体推演系统,基于 宏微观结合(Macro-Micro Linkage) 的舆情推演系统。通过让多个具有独立人格的 LLM 驱动智能体在微型社交网络中进行多轮交互,观察群体情绪的涌现与演化,最终识别多个平行世界的风险类型并生成舆情研判报告。
An end-to-end differentiable macroeconomic simulation engine built with JAX, featuring stock-flow consistency and learned agent policies.
An agent-based model of supplier lock-in in a spatial market
This project implements an Agent-Based Model (ABM) in NetLogo to simulate a pandemic similar to COVID-19. It demonstrates how infection spreads through a population, the impact of immunity levels, recovery processes, and how individual interactions influence overall disease growth and control.
This Python implementation of social dynamics simulations from Smaldino (2023) features Numba-optimized agent-based models and descriptive documentation. Benjamin Fried published the original Julia repository.
Agent-Based Model (ABM) simulating innovation diffusion and WOM dynamics in the smartphone market (Apple vs Samsung) using NetLogo.
This project demonstrates a Generative AI-powered assistant that streamlines the job application process using Google Gemini Pro. It analyzes a user’s resume against a job description, calculates a match score, suggests tailored bullet points, and generates a personalized cover letter — all formatted in structured JSON for automation.
Agent based modeling in python
Agent-based macro model (Mesa/Python) asking whether endogenous investment drives output through the capital it builds or the wages it pays. Normalised CES core, endogenous labour market, stock-flow consistent.
Agent-based modelling in R with tidy data and a declarative grammar
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