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 ...

Artur Schweidtmann says multi-agent systems can reshape the way engineers design and operate chemical plants – turning AI into collaborative digital teammates rather than replacements ...

In 2026, enterprises will be expected to automate processes that involve judgment, negotiation, compliance interpretation, ...

Even in the best of times, strategic planning is a challenge for business leaders. When global uncertainty and volatility rise, the task gets even more difficult—and more integral to business success.

Large language models like ChatGPT play an ever-evolving role in the modern business landscape. Your curiosity may have led you to engage two AI models in conversation before, but have you considered ...

Autonomous vehicle companies use simulators to train their self-driving systems and teach them how to react to "agents" -- things like pedestrians, cyclists, traffic signals and other cars. To have a ...

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 ...