Universal Artificial Intelligence: Sequential Decisions Based On Algorithmic Probability
This book gathers concepts of information across diverse fields –physics, electrical engineering and computational science – surveying current theories, discussing underlying notions of symmetry, and showing how the capacity of a system to distinguish itself relates to information. The author develops a formal methodology using group theory, leading to the application of Burnside's Lemma to count distinguishable states. This provides a tool to quantify complexity and information capacity in any physical system.
Country | USA |
Brand | Springer |
Manufacturer | Springer |
Binding | Hardcover |
ItemPartNumber | 2 black & white tables, biography |
Model | 2 black & white tables, biography |
ReleaseDate | 2007-05-15 |
UnitCount | 1 |
Format | Illustrated |
EANs | 9783540698838 |