Exact Epistemology and Artificial Intelligence

被引：7
作者：
Finn, V. K. [1 ,2 ]
机构：
[1] Russian Acad Sci, Fed Res Ctr Comp Sci & Control, Moscow 119333, Russia
[2] Russian State Univ Humanities, Moscow 125993, Russia
来源：
AUTOMATIC DOCUMENTATION AND MATHEMATICAL LINGUISTICS | 2020年 / 54卷 / 03期
基金：
俄罗斯基础研究基金会;
关键词：
exact epistemology; induction; analogy; abduction; !text type='JS']JS[!/text]M reasoning; !text type='JS']JS[!/text]M research; empirical regularities; empirical modalities; nomological propositions; educational program for artificial intelligence; !text type='JS']JS[!/text]M-METHOD; HEURISTICS;
D O I：
10.3103/S0005105520030073
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A system of concepts and principles of exact epistemology (EE) is formulated, which is understood to be the means of acquiring new knowledge through heuristics that use an ordered set of plausible reasoning strategies. The result of their application to sequences of expandable fact bases is empirical regularities that replenish the knowledge bases of intelligent systems (ISs), which are a constructive means of achieving the principles of exact epistemology, the main concept of which is the definition of theoretical intelligence. We consider the JSM method of automated research support, which uses the interaction of induction, analogy, and abduction as a constructive method of exact epistemology for acquiring new knowledge through intelligent systems. The problems of the formation and development of artificial intelligence in Russia are discussed.
引用
收藏
页码：140 / 173
页数：34
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