ERC Consolidator Grant · 2024
Counterfactuals in Minds and Machines
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 on the potential of machine learning models and algorithms to support human decision making in a variety of high-stakes domains such as medicine, education or science. However, these models and…
From the public funding record at EU CORDIS. Describes the funded project, not the reviews below.