A new book provides an overview of agent-based modeling (ABM) and multi-agent systems (MAS), emphasizing their significance in understanding complex economic systems. The book's 14 chapters feature ...

Let's break down the approach I've found to be essential for scaling a multi-agentic foundation in the enterprise.​ ...

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 ...

Stanford research finds single-agent AI matches or outperforms multi-agent systems under equal compute budgets — with lower latency, cost, and complexity for most enterprise reasoning tasks.

Microsoft researchers this week unveiled a new multi-agent AI system, aimed to help enterprises automate complex tasks typically requiring human intervention. Named Magnetic-One, the open source ...

We just can’t seem to help ourselves. Our current infatuation with multi-agent systems risks mistaking a useful pattern for an inevitable future, just as we once did with microservices. Remember those ...

GenSpark is a fantastic multi-agent AI system that is reshaping the artificial intelligence (AI) landscape. By seamlessly integrating a diverse array of tools and models, it addresses complex tasks ...

Expertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. As the CTO of an AI-native email management startup, I've spent the past year building multi ...

Anthropic has launched “dreaming” for AI agents, giving Claude new self-improving tools designed to boost enterprise ...