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
         
        
        
        
        
            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;
         
        
        
        
            Conference_Titel : 
Information Theory, 2000. Proceedings. IEEE International Symposium on
         
        
            Conference_Location : 
Sorrento
         
        
            Print_ISBN : 
0-7803-5857-0
         
        
        
            DOI : 
10.1109/ISIT.2000.866675