Chapitre D'ouvrage Année : 2010

Relational Local Iterative Compression

Résumé

Compression in the program space is of high importance in Artificial General Intelligence. Since maximal data compression in the general sense is not possible to achieve, it is necessary to use approximate algorithms, like AIXIt;l. This paper introduces a system that is able to compress data locally and iteratively, in a relational description language. The system thus belongs to the anytime algorithm family: the more time spent, the better it performs. The locality property is also well-suited for AGI agents to allow them to focus on "interesting" parts of the data.

Fichier principal
Vignette du fichier
49940_20120203121729200_1.pdf (309.23 Ko) Télécharger le fichier
Origine Fichiers éditeurs autorisés sur une archive ouverte
Licence
Loading...

Dates et versions

hal-01197541 , version 1 (06-06-2020)

Licence

Identifiants

Citer

Laurent Orseau. Relational Local Iterative Compression. Artificial General Intelligence: Third Conference on Artificial General Intelligence, AGI 2010, Lugano, Switzerland, March 5-8, 2010, Atlantis Press, 2010, Advances in Intelligent Systems Research, 978-90-78677-36-9. ⟨10.2991/agi.2010.11⟩. ⟨hal-01197541⟩
83 Consultations
73 Téléchargements

Altmetric

Partager

  • More