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 ...

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.

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 ...

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 ...

Embodied AI is central to modern autonomous driving systems. These systems do not merely perceive the environment; they reason, decide, and execute actions in the physical world. This tight coupling ...

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 ...