Diverse consequences of algorithmic probability
Date
2013
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Abstract
We reminisce and discuss applications of algorithmic probability to a wide range of problems in artificial intelligence, philosophy and technological society. We propose that Solomonoff has effectively axiomatized the field of artificial intelligence, therefore establishing it as a rigorous scientific discipline. We also relate to our own work in incremental machine learning and philosophy of complexity. © 2013 Springer-Verlag Berlin Heidelberg.
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Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence
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Springer, Berlin, Heidelberg
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English