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. Autonomous agents operating in real-world environments must make decisions under uncertainty while interacting with other agents whose behavior, competence, and reliability are only partially observable
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(UNIBO, Italy) Supervisors: Prof. Anna Guerra, Dr. Francesco Guidi Project Context: Autonomous agents navigating complex environments rely on sensed data to build internal representations of the world and
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representations of their environment. These features carry semantic meaning relevant to the agents’ mission and can accelerate decision-making, enhance ambient awareness, and enable prediction of action outcomes
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