Abstract: The modelling of human behavior is a critical component of any simulation tool that aims to represent the spread of an infectious disease throughout a population. However, few modeling ...

Objectives We aim to use an agent-based model to accurately predict the spread of COVID-19 within multiple US state prisons. Design We developed a semistochastic transmission model of COVID-19.

GATSim is a novel framework that leverages generative agents 🤖 to simulate urban transportation systems. Unlike traditional rule-based approaches, GATSim creates autonomous agents capable of ...

What if you could build your own AI agent, one that operates entirely on your local machine, free from cloud dependencies and API costs? Imagine having complete control over your data, making sure ...

How do you convert real agent traces into reinforcement learning RL transitions to improve policy LLMs without changing your existing agent stack? Microsoft AI team releases Agent Lightning to help ...

Fing has recently introduced the “Fing Agent Raspberry Pi Kit“, also called “Fing Agent plug-and-play Raspberry Pi 4 kit”, for its Fing Agent network monitoring system, which can be considered a ...

Reinforcement learning (RL) has recently emerged as a core methodology for modelling and analysing complex adaptive systems. Ensuring that learning agents behave safely, robustly, and transparently is ...

Agent-based bee colony simulation featuring genetic modeling, foraging algorithms, disease tracking, and comprehensive CLI tools for pollinator population research.

After receiving his degree in Journalism & Media Communications from CSU in 2019, Erik began building his career in online media, and found his dream job when he joined Game Rant as a staff writer.