Researchers at University of Tsukuba have demonstrated, through multi-agent simulations in a two-dimensional space, that the ...

In this paper, an innovative agent-based marginal congestion cost-pricing approach was applied successfully to the real-world case study of Greater Berlin. To the best of the author's knowledge, the ...

Spacecraft are becoming too complex, too autonomous and too far from Earth to rely on static rules and ground-driven investigation. Multi-agent AI provides a practical, incremental, operationally ...

The landscape of artificial intelligence is undergoing a significant transformation. As the capabilities of large language models grow, we are beginning to see a shift away from isolated ...

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 ...

In mission-critical environments—think disaster response, financial systems, or supply chain logistics—success hinges on the seamless collaboration of multiple agents, whether they’re humans, machines ...