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

近年来，基于大语言模型的多智能体系统（LLM-based Multi-Agent Systems, MAS）被广泛用于复杂推理任务。典型做法是让多个 agent 独立生成并通过投票或辩论等机制聚合决策，从而在算术推理、常识推断与专业问答中提升准确率。

What if the future of work wasn’t just about automation but about collaboration, between humans and intelligent agents? Imagine a world where multi-agent AI systems seamlessly coordinate tasks, adapt ...

Autonomous agents and multiagent systems represent a cornerstone of modern computational intelligence, combining individual self-directed decision‐making with coordinated, distributed actions.

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 ...

If you are interested in building AI Automation agents you already know that Artificial Intelligence (AI) is reshaping how tasks are automated, decisions are made, and systems interact with their ...

Forbes contributors publish independent expert analyses and insights. Joanne Chen is a General Partner at Foundation Capital. May 24, 2024, 04:48pm EDT May 24, 2024, 05:05pm EDT I recently spoke with ...

How event-driven design can overcome the challenges of coordinating multiple AI agents to create scalable and efficient reasoning systems. While large language models are useful for chatbots, Q&A ...

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 ...

For too long, enterprises have failed to go beyond the view of AI as a product; an assistant that sits to the side, helping users complete tasks and delivering incremental productivity gains. This ...