The field of control systems and multi-agent dynamics encompasses a sophisticated blend of theory and practice, designed to manage the behaviour of interconnected systems ranging from large-scale ...

Disturbance exists everywhere in most real networks and systems, and in most cases, has a negative effect on system performance. Disturbance can be modeled from environmental interference, measurement ...

A proof of concept shows how multi-agent orchestration in Visual Studio Code 1.109 can turn a fragile, one-pass AI workflow into a more reliable, auditable process by breaking long tasks into smaller, ...

The biggest challenge to AI initiatives is the data they rely on. More powerful computing and higher-capacity storage at lower cost has created a flood of information, and not all of it is clean. It ...

Today, multi-agent systems (MAS) have emerged as transformative technologies, driving innovation and efficiency across various industries. Comprising multiple autonomous agents working collaboratively ...

A research team has identified and demonstrated a vulnerability in emerging agentic AI systems, including multi-agent control platforms (MCPs) and AI browsers, coined “IdentityMesh.” This newly ...