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21 de may. de 2024 · People judge causation and attribute responsibility by simulating counterfactual alternatives. The counterfactual simulation model (CSM) captures people’s causal judgments about physical events and responsibility judgments about social events. In the physical domain, the CSM predicts people’s judgments about dynamic collision events, about ...
18 de may. de 2024 · Counterfactuals are context-sensitive. However, we argue that various debates and doctrines in metaphysics and the philosophy of science are premised on ignoring the full extent of counterfactual context-sensitivity. Our focus is on the prominent "miracle" versus "no-miracle" debate about counterfactuals under the assumption that our laws of ...
28 de may. de 2024 · In data analysis, it's crucial to recognize that correlation does not necessarily imply causation. It's a classic logical fallacy to assume that because two variables are correlated, one must cause the other. However, there could be other factors at play that are causing both variables to change, or it could be purely coincidental.
27 de may. de 2024 · Written by one of the preeminent researchers in the field, this book provides a comprehensive exposition of modern analysis of causation. It shows how causality has grown from a nebulous concept into a mathematical theory with significant applications in the fields of statistics, artificial intelligence, economics, philosophy, cognitive science, and the health and social sciences.
5 de jun. de 2024 · Here are 20 Best Psychology Student Blogs you should follow in 2024. 1. Communicating Psychological Science. Covers articles on Mental Health, Brain Science, Feeling, Learning, Outreach, Pedagogy, Relationship, and Thinking. The main purpose of this blog is to promote the communication of psychological science to the public and the development ...
23 de may. de 2024 · 687 likes, 22 comments - data_pumpkin on May 23, 2024: "Data is king, but correlation isn’t causation. Counterfactuals, a powerful technique for causal inference, allow us to explore “what-if”...". counterfactuals, marketing, uplift modelling, personalized medicine, causal inference
3 de jun. de 2024 · How Bias Hides in ‘Kitchen Sink’ Approaches to Data. In risk modeling, AI researchers take a more-is-better approach to training data, but a new study argues that a less-is... Andrew Myers. Humans Use Counterfactuals to Reason About Causality. Can AI? Stanford scholar Tobias Gerstenberg explores how humans judge causation and poses the ...
