Retention to describe knowledge of complex character and its formalization in category theory

Knowledge based computer systems may be designed for many environments, demonstrating different patterns of behavior. Though the inferences obtained may be similar, the use of the inferences may require some supplementary information directly related to the subject domain properties. For such complex cases a concept of retention is proposed in this paper intended for applications to a wide variety of situations, where an intelligent system may depend upon complex external conditions. Examples of systems designed by the authors are provided that support this new concept. In conclusion, an attempt to formalize this concept in the language of Category Theory is provided. © Springer Nature Switzerland AG 2019.

Authors
Zhozhikashvily A.V.1 , Stefanuk V.L. 1, 2
Language
English
Pages
51-58
Status
Published
Volume
874
Year
2019
Organizations
  • 1 Institute for Information Transmission Problems, Bolshoy Karetny per. 19, Moscow, 127051, Russian Federation
  • 2 Peoples’ Friendship University of Russia, Miklucho-Maklaya str. 6, Moscow, 117198, Russian Federation
Keywords
Autonomic systems; Defeasible reasoning; Dynamic and static knowledge; Dynamic systems; Environment; Lattice; Monoid; Retention
Date of creation
04.02.2019
Date of change
04.02.2019
Short link
https://repository.rudn.ru/en/records/article/record/36126/
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