This article is cited in 1 paper

Methods for comparing competing hypotheses in hypothesis-oriented systems

E. M. Tirikov, D. Yu. Kovalev

Institute of Informatics Problems, Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119133, Russian Federation

Abstract: With the advent of a new class of virtual experiments management systems, the use of hypotheses and models in an explicit form becomes more and more widespread. Such systems apply both hypotheses generated from the data and theoretical hypotheses. It becomes critically important to compare several competing hypotheses of different origin with each other. The paper considers various approaches to comparing competing hypotheses and computational models implementing them. The considered approaches are implemented as a software component that is a part of a virtual experiment management system. The component is applied for problem solving in neurophysiology.

Keywords: virtual experiments management systems, competing hypotheses, comparison of hypotheses.

Received: 27.12.2020

DOI: 10.14357/08696527210110