• DocumentCode
    2391142
  • Title

    Perfect, minimally adaptive, error-correcting searching strategies

  • Author

    Cicalese, Ferdinando ; Mundici, Daniele ; Vaccaro, Ugo

  • Author_Institution
    Dipt. di Inf. ed Applicazioni, Salerno Univ., Italy
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    377
  • Abstract
    Let qe(m) be the smallest integer q satisfying Berlekamp´s bound Σi=0e(iq )⩽2q-m. We prove that for any fixed e⩾1 and all sufficiently large m there is a binary searching strategy to guess a number x∈{0,...,2m-1} in spite of up to e lies in the answers, which uses exactly qe(m) questions and adaptiveness only once. The strategy goes through a first batch of m non-adaptive questions asking for the bits of the binary expansion of x and then, only depending on the answers to these questions, a second batch of q e(m)-m non-adaptive questions
  • Keywords
    adaptive systems; binary codes; error correction codes; search problems; Berlekamp´s bound; binary error-correcting codes; binary expansion; binary searching; codewords; error-correcting searching; minimally adaptive search; nonadaptive questions; perfect search; searching strategies; Artificial intelligence; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory, 2000. Proceedings. IEEE International Symposium on
  • Conference_Location
    Sorrento
  • Print_ISBN
    0-7803-5857-0
  • Type

    conf

  • DOI
    10.1109/ISIT.2000.866675
  • Filename
    866675