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 ...
Researchers have developed a novel framework, termed PDJA (Perception–Decision Joint Attack), that leverages artificial ...
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 ...
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 ...
Multi-Agent Systems In Business: Evaluation, Governance And Optimization For Cost And Sustainability
Today, multi-agent systems (MAS) have emerged as transformative technologies, driving innovation and efficiency across various industries. Comprising multiple autonomous agents working collaboratively ...
Researchers at Google and MIT have conducted a comprehensive analysis of agentic systems and the dynamics between the number of agents, coordination structure, model capability, and task properties.
As AI-assisted coding becomes more common, a new pattern is emerging: multi-agent workflows. A multi-agent workflow refers to using various AI agents in parallel for specific software development life ...
When I first started working with multi-agent collaboration (MAC) systems, they felt like something out of science fiction. It’s a group of autonomous digital entities that negotiate, share context, ...
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