The game is to use things we observe about the world to construct this kind of diagram telling us what listens to what, and then we can deduce what would happen counterfactualy. This is a persimonious representation of counterfact of superexponentially large number of counterfactor sore ya. If you compare it to what sopers did inbout er closest world, sementi, dit lewis wi, he had the idea thata is, counterfactury related to b. So as philosopher, he didn't care about computer representation or mental representation. How does a mind represent all the infinite relationship between who is closer, which world is closer to
To say that event A causes event B is to not only make a claim about our actual world, but about other possible worlds — in worlds where A didn’t happen but everything else was the same, B would not have happened. This leads to an obvious difficulty if we want to infer causes from sets of data — we generally only have data about the actual world. Happily, there are ways around this difficulty, and the study of causal relations is of central importance in modern social science and artificial intelligence research. Judea Pearl has been the leader of the “causal revolution,” and we talk about what that means and what questions remain unanswered.
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Judea Pearl received a Ph.D. in electrical engineering from the Polytechnic Institute of Brooklyn. He is currently a professor of computer science and statistics and director of the Cognitive Systems Laboratory at UCLA. He is a founding editor of the Journal of Causal Inference. Among his awards are the Lakatos Award in the philosophy of science, The Allen Newell Award from the Association for Computing Machinery, the Benjamin Franklin Medal, the Rumelhart Prize from the Cognitive Science Society, the ACM Turing Award, and the Grenander Prize from the American Mathematical Society. He is the co-author (with Dana MacKenzie) of The Book of Why: The New Science of Cause and Effect.
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