Shafi Goldwasser, Silvio Micali, and Charles Rackoff. The knowledge complexity of interactive proof systems. SIAM journal on computing, vol. 18 (1989), pp. 186–208. - Oded Goldreich, Silvio Micali, and Avi Wigderson. Proofs that release minimum knowledge. Mathematical foundations of computer science 1986, Proceedings of the 12th symposium, Bratislava, Czechoslovakia, August 25–29, 1986, edited by J. Gruska, B. Rovan, and J. Wiedermann, Lecture notes in computer science, vol. 233, Springer-Verlag, Berlin, Heidelberg, New York, etc., 1986, pp. 639–650. - Oded Goldreich. Randomness, interactive proofs, and zero-knowledge—a survey. The universal Turing machine, A half-century survey, edited by Rolf Herken, Kammerer & Unverzagt, Hamburg and Berlin, and Oxford University Press, Oxford and New York, 1988, pp. 377–405.

1991 ◽  
Vol 56 (3) ◽  
pp. 1092-1094
Author(s):  
Lance Fortnow
1991 ◽  
Vol 56 (3) ◽  
pp. 1089-1090
Author(s):  
John N. Crossley

A. Bertoni. Mathematical methods of the theory of stochastic automata. Mathematical foundations of computer science, 3rd symposium at Jadwisin near Warsaw, June 17–22, 1974, edited by A. Blikle, Lecture notes in computer science, vol. 28, Springer-Verlag, Berlin, Heidelberg, and New York, 1975, pp. 9–22. - R. V. Freivald. Functions computable in the limit by probabilistic machines. Mathematical foundations of computer science, 3rd symposium at Jadwisin near Warsaw, June 17–22, 1974, edited by A. Blikle, Lecture notes in computer science, vol. 28, Springer-Verlag, Berlin, Heidelberg, and New York, 1975, pp. 77–87. - B. Goetze and R. Klette. Some properties of limit recursive functions. Mathematical foundations of computer science, 3rd symposium at Jadwisin near Warsaw, June 17–22, 1974, edited by A. Blikle, Lecture notes in computer science, vol. 28, Springer-Verlag, Berlin, Heidelberg, and New York, 1975, pp. 88–90. - Ole-Johan Dahl. An approach to correctness proofs of semicoroutines. Mathematical foundations of computer science, 3rd symposium at Jadwisin near Warsaw, June 17–22, 1974, edited by A. Blikle, Lecture notes in computer science, vol. 28, Springer-Verlag, Berlin, Heidelberg, and New York, 1975, pp. 157–174. - G. Wechsung. The axiomatization problem of a theory of linear languages. Mathematical foundations of computer science, 3rd symposium at Jadwisin near Warsaw, June 17–22, 1974, edited by A. Blikle, Lecture notes in computer science, vol. 28, Springer-Verlag, Berlin, Heidelberg, and New York, 1975, pp. 298–302. - L. Banachowski. Modular approach to the logical theory of programs. Mathematical foundations of computer science, 3rd symposium at Jadwisin near Warsaw, June 17–22, 1974, edited by A. Blikle, Lecture notes in computer science, vol. 28, Springer-Verlag, Berlin, Heidelberg, and New York, 1975, pp. 327–332. - Pierangelo Miglioli. Mathematical foundations of motivation languages and synthesis maps. Mathematical foundations of computer science, 3rd symposium at Jadwisin near Warsaw, June 17–22, 1974, edited by A. Blikle, Lecture notes in computer science, vol. 28, Springer-Verlag, Berlin, Heidelberg, and New York, 1975, pp. 388–408. - H. Rasiowa. ω+-valued algorithmic logic as a tool to investigate procedures. Mathematical foundations of computer science, 3rd symposium at Jadwisin near Warsaw, June 17–22, 1974, pp. 423–450. - Andrzej Salwicki. Procedures, formal computations and models. Mathematical foundations of computer science, 3rd symposium at Jadwisin near Warsaw, June 17–22, 1974 pp. 464–484.

1977 ◽  
Vol 42 (3) ◽  
pp. 422-423
Author(s):  
Steven S. Muchnick

1986 ◽  
Vol 51 (1) ◽  
pp. 225-227 ◽  
Author(s):  
Robert Goldblatt

1994 ◽  
Vol 1 (28) ◽  
Author(s):  
Oded Goldreich

Various types of <em>probabilistic</em> proof systems have played a central role in the development of computer science in the last decade. In this exposition, we concentrate on three such proof systems -- <em>interactive proofs</em>, <em>zero-knowledge proofs</em>, and <em>probabilistic checkable proofs</em> -- stressing the essential role of randomness in each of them.<br /> <br />This exposition is an expanded version of a survey written for the proceedings of the International Congress of Mathematicians (<em>ICM94</em>) held in Zurich in 1994. It is hope that this exposition may be accessible to a broad audience of computer scientists and mathematians.


2020 ◽  
Vol 63 (1) ◽  
pp. 69-86
Author(s):  
Paweł Stacewicz

AbstractAnalogicity in computer science is understood in two, not mutually exclusive ways: 1) with regard to the continuity feature (of data or computations), 2) with regard to the analogousness feature (i.e. similarity between certain natural processes and computations). Continuous computations are the subject of three methodological questions considered in the paper: 1a) to what extent do their theoretical models go beyond the model of the universal Turing machine (defining digital computations), 1b) is their computational power greater than that of the universal Turing machine, 1c) under what conditions are continuous computations realizable in practice? The analogue-analogical computations lead to two other issues: 2a) in what sense and to what extent their accuracy depends on the adequacy of certain theories of empirical sciences, 2b) are there analogue-analogical computations in nature that are also continuous? The above issues are an important element of the philosophical discussion on the limitations of contemporary computer science.


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