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Published on Jul 26, 2016
Grace Solomonoff presents her talk "A Few Notes on Multiple Theories and Conceptual Jump Size" at the Ninth Conference on Artificial General Intelligence (AGI-16) in New York (http://agi-conf.org/2016/).
Paper authors: Grace Solomonoff
Abstract: These are a few notes about some of Ray Solomonoff’s foundational work in algorithmic probability, focussing on the universal prior and conceptual jump size, including a few illustrations of how he thought. His induction theory gives a way to compare the likelihood of different theories describing observations. He used Bayes’ rule of causation to discard theories inconsistent with the observations. Can we find good theories? Lsearch may give a way to search and the conceptual jump size a measure for this.