This video demonstrates how to model rigid objects using springs in a Python physics simulation. We explore how spring forces approximate rigidity, analyze motion and stability, and visualize the ...
In this tutorial, we build an advanced, fully autonomous logistics simulation in which multiple smart delivery trucks operate within a dynamic city-wide road network. We design the system so that each ...
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.
Cybersecurity researchers have disclosed details of a new campaign that leverages a combination of social engineering and WhatsApp hijacking to distribute a Delphi-based banking trojan named ...
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 ...
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 ...
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Manny Medina, previously best-known as the founder of sales automation startup Outreach ($4.4 billion valuation), has wowed investors with his young startup, Paid. Paid just closed an oversubscribed ...
Abstract: In unmanned aerial vehicle (UAV) networks, communication protocols and algorithms are essential for cooperation and collaboration between UAVs. Simulation provides a costeffective solution ...
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 ...