The hybrid simulation model delivers critical insights for health policymakers, global health agencies, and funding ...

Marco A. Janssen ¹, Elinor Ostrom ², Empirically Based, Agent-based models, Ecology and Society, Vol. 11, No. 2 (Dec 2006) ...

Environmental change can lead to human migration and vice versa. Agent-based models (ABMs) are valuable tools to study these linkages because they can represent individual migration decisions of human ...

Methods Agent-based modelling (ABM) was used to model the occurrence of sports injury in a synthetic athlete population. The ABM was developed based on sports injury causal frameworks and was applied ...

Ars Technica has been separating the signal from the noise for over 25 years. With our unique combination of technical ...

Redwire Corporation (NYSE: RDW), a global leader in space and defense technology solutions, today announced a major version ...

INOD shifts to smart data and Agentic AI, aiming to boost LLM performance and outpace rivals with new platforms.

MosChip® supports smarter, faster chip design with AI. The Agentic RTL Coder brings together the power of Large Language Models (LLMs) and a multi-agent architecture to automate RTL generation, ...

Slingshot Aerospace, Inc., a developer of artificial intelligence (AI)-powered solutions for satellite tracking, space ...

A thorough analysis of risks in the banking system requires incorporating banks’ inherent heterogeneity and adaptive behavior in response to shocks and changes in business conditions and the ...