While multi-agent AI systems sound great in theory and even practice, without trust mechanisms, these systems can fall apart fast.
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 ...
Hosted on MSN
Strategizing with AI: How leaders can upgrade strategic planning with multi-agent platforms
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.
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results