CORDIS Project
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The project aims to develop advanced analytical methods to infer internal cognitive models from observable behaviors. By applying Bayesian techniques, it seeks to understand how these models evolve over time and influence human cognition.
Internal models are fundamental to our understanding of how the mind constructs percepts, makes decisions, controls movements, and interacts with others.
Yet, we lack principled quantitative methods to systematically estimate internal models from observable behaviour, and current approaches for discovering their mental representations remain heuristic and piecemeal. I propose to develop a set of novel 'doubly Bayesian' data analytical methods, using state-of-the-art Bayesian statistical and mach…
KOZEP-EUROPAI EGYETEM
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