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#AAMAS2026 blue sky award winner: Foundation world models for agents in changing environments

AAMAS, ai, AI (Artificial Intelligence), Artificial Intelligence, opinions

Florent Delgrange won the Best Blue Sky Paper Award at AAMAS 2026 for his work Foundation World Models for Agents that Learn, Verify, and Adapt Reliably Beyond Static Environments. We caught up with him to find out more about his vision for agent learning. What is the topic of your Blue Sky Ideas paper and […]

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How can we characterize consensus in a network of agents?

AAMAS, ai, AI (Artificial Intelligence), articles, Artificial Intelligence

A schematic Belief Flow Network: agents exchange beliefs along directed influence links, and the research asks which final consensus beliefs can emerge. Imagine a set of artificial agents, expert systems, or decision-makers, each beginning with their own “beliefs” about a shared situation. For example, one transport agent may believe that there is a train strike,

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