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
Link To Document :
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