On the power of interaction

SFCS '86 Proceedings of the 27th Annual Symposium on Foundations of Computer Science(1990)

引用 28|浏览0
暂无评分
摘要
A hierarchy of probabilistic complexity classes generalizing NP has recently emerged in the work of [B], [GMR], and [GS]. The IP hierarchy is defined through the notion of an interactive proof system, in which an all powerful prover tries to convince a probabilistic polynomial time verifier that a string x is in a language L. The verifier tosses coins and exchanges messages back and forth with the prover before he decides whether to accept x. This proof-system yields "probabilistic" proofs: the verifier may erroneously accept or reject x with small probability. The class IP[f(|x|)] is said to contain L if, there exists an interactive proof system with f(|x|)- message exchanges (interactions) such that with high probability the verifier accepts x if and only if x ε L. Babai [B] showed that all languages recognized by interactive proof systems with bounded number of interactions, can be recognized by interactive proof systems with only two interactions. Namely, for every constant k, IP[k] collapses to Ip[2]. In this paper, we give evidence that interactive proof systems with unbounded number of interactions may be more powerful than interactive proof systems with bounded number of interactions. We show that for any unbounded function f(n) there exists an oracle B such that IPB [f(|x|)] ⊄ PHB. This implies that IPB[f(n)] ≠ IPB[2], since IPB[2] ⊆ Π2B for all oracles B. The techniques employed are extensions of the techniques for proving lower bounds on small depth circuits used in [FSS], [Y] and [H1].
更多
查看译文
关键词
interactive proof system,class ip,bounded number,l. babai,ip hierarchy,exchanges message,probabilistic polynomial time verifier,verifier tosses coin,probabilistic complexity class,unbounded number,force,polynomials,circuits,logic gates,polynomial time,mathematics,electrical engineering,protocols,context modeling,complexity class,computer science,exchange interaction,local area networks,terminology,games,lower bound
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要