Diverse consequences of algorithmic probability

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Diverse consequences of algorithmic probability.pdf (204.57 KB)

Date

2013

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Source Title

Algorithmic Probability and Friends. Bayesian Prediction and Artificial Intelligence

Print ISSN

0302-9743

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Publisher

Springer, Berlin, Heidelberg

Volume

7070

Issue

Pages

285 - 298

Language

English

Type

Conference Paper

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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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Keywords

Algorithmic probability , Scientific discipline , Algorithms , Artificial intelligence , Ontology , Probability

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http://hdl.handle.net/11693/27919

Published Version (Please cite this version)

http://dx.doi.org/10.1007/978-3-642-44958-1-22
 https://doi.org/10.1007/978-3-642-44958-1

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Scholarly Publications - Computer Engineering