Evidential Paradigm and SAD Systems: Features and Peculiarities

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Author(s)

Alexander Lyaletski 1,* Alexandre Lyaletsky 2 Andrei Paskevich 3

1. Institute of Mathematics and Computer Science, 5, Academiei street, Chisinau, MD 2028, Moldova

2. Taras Shevchenko National University of Kyiv, 60, Volodymyrska Street, Kyiv, 01033, Ukraine

3. LRI, Paris-Sud University, bât. 650 Ada Lovelace, Orsay, 91405, France

* Corresponding author.

DOI: https://doi.org/10.5815/ijmsc.2018.02.01

Received: 12 Sep. 2017 / Revised: 10 Jan. 2018 / Accepted: 13 Feb. 2018 / Published: 8 Apr. 2018

Index Terms

Automated reasoning, automated theorem proving, classical logic, intuitionistic logic, modal logic, Evidence Algorithm, formal language, formalized text, induction, number computation, symbolic transformation, deduction, paradigm, proof search, sequent calculus

Abstract

Research on automated reasoning systems based on a number of paradigms that support human activity in formalized text processing began in the late 1950s – early 1960s, when computer performance and memory space became sufficient for programming of complex intelligent processes. The so-called evidential paradigm was among them and it can be viewed as a way for integrating all reasonable paradigms oriented to the development of computer languages for representing formalized texts in the form most suitable for a user, formalization and development of the evidence of a computer-made proof step, creation of the information environment having influence on a current evidence of a machine proof step, and an active human-machine interaction. This work contains a brief description of the evidential paradigm and its implementation in the form of intelligent systems intended for the symbolic and deductive processing of mathematical texts focusing main attention on their features and peculiarities.

Cite This Paper

Alexander Lyaletski, Alexandre Lyaletsky, Andrei Paskevich,"Evidential Paradigm and SAD Systems: Features and Peculiarities", International Journal of Mathematical Sciences and Computing(IJMSC), Vol.4, No.2, pp.1-11, 2018.DOI: 10.5815/ijmsc.2018.02.01

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