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
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