Informations

Stand number

D92

Exhibition class

W: Hardware – Software – Cybersecurity – Blockchain – Internet of things (IoT)

Technical description

Open-ended lifelong learning virtual embodied agents using multi-agent economic simulations. These agents enhance game decision systems, improve economy design, and simulate realistic interactions, bridging virtual and real-world applications.

Simplified description

Scientists are creating virtual agents that learn and adapt over time through simulations. These agents help improve game strategies, design better virtual economies, and mimic real-life interactions, making them useful for bridging the gap between online and real-world activities.