Abstract: This study focuses on the application of reinforcement learning in tactical military simulation environments involving heterogeneous multi-agent systems. Optimizing Heterogeneous Multi-Agent ...

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 ...

Abstract: The conventional resource allocation methods, using a central node, are not resilient, owing to the failure of the central unit. An advanced solution is to apply distributed optimization by ...

Context engineering is the discipline of managing the language model's context window. Unlike prompt engineering, which focuses on crafting effective instructions, context engineering addresses the ...

Black holes are among the most extreme objects in the universe, and now scientists can model them more accurately than ever before. By combining Einstein’s gravity with realistic behavior of light and ...

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.