CORDIS Project
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This project aims to enhance decision-making through machine learning by incorporating counterfactual reasoning. It seeks to develop algorithms that can evaluate alternative outcomes, improving automated decision support systems across various fields.
Reasoning about what might have been, about alternatives to our own pasts, is a landmark of human intelligence.
Such type of reasoning, called counterfactual reasoning, is often evaluative, specifying alternatives that are in some sense better or worse than our past reality, and has been shown to play a significant role in the ability that humans have to learn from limited past experience and improve their decision making skills over time.
In recent years, there has been an increasing excitement…
MAX-PLANCK-GESELLSCHAFT ZUR FORDERUNG DER WISSENSCHAFTEN EV
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