The research aim is to develop an intelligent agent for cybersecurity systems capable of detecting abnormal user behavior ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

In the 1980s and ’90s, SFI played laboratory to a promising new method known as agent-based modeling. Instead of relying on averages and unrealistic mathematical assumptions, these models were built ...

A neural network is a machine learning model originally inspired by how the human brain works (Courtesy: Shutterstock/Jackie Niam) Precision measurements of theoretical parameters are a core element ...

Abstract: Swarm intelligence for uncrewed aerial vehicles (UAVs) significantly improves the success rate of executing intricate tasks using “distributed platforms and aggregated effects”. However, the ...

In this tutorial, we walk through the process of building an advanced AI desktop automation agent that runs seamlessly in Google Colab. We design it to interpret natural language commands, simulate ...

Recent advances in large language models (LLMs) have enabled human-like social simulations at unprecedented scale and fidelity, offering new opportunities for computational social science. A key ...

In this work, we use two different ABMs to test our calibration routine, the zero-intelligence trader model (ZI) and an extension to the Chiarella model. For further details on both, see [35] for the ...

Mesa is an open-source Python library for agent-based modeling, ideal for simulating complex systems and exploring emergent behaviors.