• 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