Abstract
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.
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Retention means storing, keeping, preserving and etc. (from latin Retentio).
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Acknowledgements
We wish to express many thanks to anonymous reviewers for their valuable remarks that let us to improve the final paper.
The research was partially supported with Russian Fond for Basic Research, grants N 18-07-00736 and N 17-29-07053.
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Zhozhikashvily, A.V., Stefanuk, V.L. (2019). Retention to Describe Knowledge of Complex Character and Its Formalization in Category Theory. In: Abraham, A., Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Third International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’18). IITI'18 2018. Advances in Intelligent Systems and Computing, vol 874. Springer, Cham. https://doi.org/10.1007/978-3-030-01818-4_5
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