Since the pandemic it has become readily apparent that our global supply chains are very complex, and in some cases, very ...

Traditional epidemic modeling techniques, including compartmental, network, and temporal models, have historically ...

An Agentic Approach for SoC Security Verification using Large Language Models” was published by researchers at University of ...

When operating a software service on a cloud, the complexity of keeping multiple distributed components responsive is a significant challenge for engineering teams. Engineers frequently rely on ...

For enterprise leaders evaluating AI, Midjourney Video V1's a double-edged sword: a low-cost, fast-evolving tool with strong user adoption ...

Agent-based simulation (ABS) is an approach to modeling systems comprised of individual, autonomous, interacting “agents.” Agent-based modeling offers ways to more easily model individual behaviors ...

AGENTS: Agriculture Grape (yield) Evaluation (using) NetLogo (based) Technology Simulation is an agent-based model in NetLogo exploring the socio-ecological and economic dynamics of agricultural ...

Agent movement is implemented in a utility maximization approach by considering various human behaviors. The influences of parameters in the model on the simulation results are investigated. Typical ...

For example, when researchers used NHC hurricane data from 2023 and 2024 in the new AI-based model, they found that its five-day cyclone track prediction was, on average, more than 85 miles closer to ...

Mesa allows users to quickly create agent-based models using built-in core components (such as spatial grids and agent schedulers) or customized implementations; visualize them using a browser-based ...