Note: This article is the second in a two-part series. Click here to read Part 1: Why Multi-Agent Systems Outperform Traditional Automation.Why Multi-Agent Autonomy Requires a New Approach to ...

Driven by several converging developments, the relationship between modelling and experimentation in complex systems has entered a new phase. The abundance ...

We cannot anticipate every misuse or emergent behavior in AI systems. We can, however, identify what can go wrong, assess how bad it could be, and design systems that help reduce the likelihood or ...

Abstract: Nowadays, the traffic system has become a mixed and complex system with connected and automated vehicles (CAVs) and human-driven vehicles (HDVs). Current studies emphasize the ...

Abstract: Distributed parameter systems (DPS) are broadly present in numerous industrial manufacturing systems. Accurate modeling of DPS is critical for subsequent process monitoring and optimization.

Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving models while retaining their accuracy. The approach retains physics-based ...

The PPC referral process was best understood as a dynamic system involving four primary agents: oncologists, interprofessional oncology teams, PPC teams, and the patient and family. Each agent's ...

Heavy machinery is entering a new phase where hydraulics, electronics and embedded software are engineered as one integrated system. Using model-based systems engineering (MBSE) as a framework to ...

"If our solar system is indeed moving this fast, we need to question fundamental assumptions about the large-scale structure of the universe." When you purchase through links on our site, we may earn ...

Coupling an AI-driven model of the atmosphere with a model of the ocean could help scientists create highly efficient emulations of the entire Earth system. Modelers have demonstrated that artificial ...