Title : 
On coherence, random-self-reducibility, and self-correction
         
        
            Author : 
Feigenbaum, Joan ; Fortnow, Lance ; Laplante, Sophie ; Naik, Ashish
         
        
            Author_Institution : 
AT&T Bell Labs., Murray Hill, NJ, USA
         
        
        
        
        
        
            Abstract : 
We address two questions about self-reducibility-the power of adaptiveness in examiners that take advice and the relationship between random-self-reducibility and self-correctability. We first show that adaptive examiners are more powerful than nonadaptive examiners, even if the nonadaptive ones are nonuniform. Blum et al. (1993) showed that every random-self-reducible function is self-correctable. However, whether self-correctability implies random-self-reducibility is unknown. We show that, under a reasonable complexity hypothesis, there exists a self-correctable function that is not random-self-reducible. For P-sampleable distributions, however, we show that constructing a self-correctable function that is not random-self-reducible is as hard as proving that P≠PP
         
        
            Keywords : 
Turing machines; computational complexity; Turing machine; adaptive examiners; coherence; complexity; oracle; polynomial-time; self-correction; self-reducibility; Computer science; Cryptography; Polynomials; Testing; Turing machines; Writing;
         
        
        
        
            Conference_Titel : 
Computational Complexity, 1996. Proceedings., Eleventh Annual IEEE Conference on
         
        
            Conference_Location : 
Philadelphia, PA
         
        
            Print_ISBN : 
0-8186-7386-9
         
        
        
            DOI : 
10.1109/CCC.1996.507668