Diverse consequences of algorithmic probability
Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence
Springer, Berlin, Heidelberg
285 - 298
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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.
Published Version (Please cite this version)http://dx.doi.org/10.1007/978-3-642-44958-1-22