The future of AI applications lies in moving beyond single-shot generation to modular systems composed of intelligent, cooperating agents.

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

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 ...

Learn how agentic AI design principles like error handling and adaptive learning can transform AI into a dynamic ...

2025 Smart Agent Management Platform Multi-Agent Collaboration Technology Application Sharing 1. Pain Points of Multi-Agent Collaboration for AI R&D Teams ...

What if you could design a system where multiple specialized agents work together seamlessly, each tackling a specific task with precision and efficiency? This isn’t just a futuristic vision—it’s the ...

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 ...

In today's rapidly advancing technology landscape, multi-agent systems as a cutting-edge technology are reshaping the software development landscape. In Qingdao, a hotbed for software development, ...