DocumentCode
2187852
Title
On the relation between descriptional complexity and algorithmic probability
Author
Gács, Péter
fYear
1981
fDate
28-30 Oct. 1981
Firstpage
296
Lastpage
303
Abstract
Several results in Algorithmic Information Theory establish upper bounds on the difference between descriptional complexity and the logarithm of "apriori probability". It was conjectured that these two quantities coincide to within an additive constant. Here, we disprove this conjecture and show that the known overall upper bound on the difference is exact. The proof uses a memory-allocation game between two players called User and Server. User sends incremental requests of memory space for certain structured items, Server allocates this space in a write-once memory. For each item, some of the allocated space is required to be in one piece, in order to live a short address. We also present some related results.
Keywords
Approximation algorithms; Binary sequences; Computer science; Encoding; Entropy; Inference algorithms; Information theory; Probability distribution; Upper bound; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Foundations of Computer Science, 1981. SFCS '81. 22nd Annual Symposium on
Conference_Location
Nashville, TN, USA
ISSN
0272-5428
Type
conf
DOI
10.1109/SFCS.1981.31
Filename
4568347
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