CORDIS Project
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This research explores how humans learn and generalize decision-making in new environments. By studying neural representations, the project aims to uncover the cognitive processes that enable effective adaptation and inform the development of intelligent artificial agents.
Intelligent agents make good decisions in novel environments.
Understanding how humans deal with noveltyis a key problem in the cognitive and neural sciences, and building artificial agents that behave effectivelywith novel settings remains an unsolved challenge in machine learning.
According to one view, humans form abstract representations that encode latent variables pertaining to the high-level structure of the environment (a “model” of the world).
These abstractions facilitate generalisatio…
THE CHANCELLOR, MASTERS AND SCHOLARS OF THE UNIVERSITY OF OXFORD
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