Abstract
The issues of semantic information processing are considered. The central idea of information in the modern world is still an elusive concept. It is known that information must be quantified, at least in terms of partial ordering, to be additive, stored and transmitted. However, besides all this, there is no clear idea about its specific nature. The development of cognitive technologies poses the question of forms of knowledge representation: can the “stage of knowledge” be fully and faithfully analyzed in terms and forms of information processing at some level of abstraction? In other words, the analysis is to relate (1) the stage of knowledge with (2) forms of information processing and (3) levels of abstraction. Among the problems posed by the development of information technology, one of the key roles is played by the information semantics. The most significant open problems imply the development of research on a new basis in the following areas: providing data substantiation (how data can acquire meaning); ensuring the truth of the data (as meaningful data can acquire true values); building an information theory of truth (can information explain truth); constructing information semantics (can information explicate a value).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Helland P (2019) Identity by any other name. Commun ACM 62(4):80. https://doi.org/10.1145/3303870
Ismailova L (2014) Applicative computations and applicative computational technologies. Life Sci. J 11(11):177–181
Lawvere FW, Schanuel SJ (1997) Conceptual mathematics: a first introduction to categories. Cambridge University Press, Cambridge
Scott D (1979) Identity and existence in intuitionistic logic. Springer, Heidelberg, pp 660–696. https://doi.org/10.1007/BFb0061839
Wolfengagen V (2010) Semantic modeling: computational models of the concepts. In: Proceedings of the 2010 international conference on computational intelligence and security, CIS 2010, IEEE Computer Society, Washington, DC, pp 42–46. https://doi.org/10.1109/CIS.2010.16
Wolfengagen V (2014) Computational ivariants in applicative model of object interaction. Life Sci J 11(9s):453–457
Wolfengagen VE, Ismailova LY, Kosikov S (2016) Computational model of the tangled web. Procedia Comput Sci 88:306–311 https://doi.org/10.1016/j.procs.2016.07.440, http://www.sciencedirect.com/science/article/pii/S1877050916316969. 7th annual international conference on biologically inspired cognitive architectures, BICA 2016, held July 16 to July 19, 2016 in New York City, NY, USA
Wolfengagen VE, Ismailova LY, Kosikov SV (2016) A computational model for refining data domains in the property reconciliation. In: 2016 third international conference on digital information processing, data mining, and wireless communications (DIPDMWC) pp 58–63. https://doi.org/10.1109/DIPDMWC.2016.7529364
Wolfengagen VE, Ismailova LY, Kosikov SV (2016) A harmony and disharmony in mining of the migrating individuals. In: 2016 third international conference on digital information processing, data mining, and wireless communications (DIPDMWC), pp 52–57. https://doi.org/10.1109/DIPDMWC.2016.7529363
Wolfengagen VE, Ismailova LY, Kosikov SV, Navrotskiy VV, Kukalev SI, Zuev AA (2016) Belyatskaya PV (2016) evolutionary domains for varying individuals. Procedia Comput Sci 88:347–352 https://doi.org/10.1016/j.procs.2016.07.447, http://www.sciencedirect.com/science/article/pii/S1877050916317033. 7th annual international conference on biologically inspired cognitive architectures, BICA 2016, held July 16 to July 19, 2016 in New York City, NY, USA
Wolfengagen VE, Ismailova LY, Kosikov SV, Parfenova IA, Ermak MY, Petrov VD, Nikulin IA, Kholodov VA (2016) Migration of the individuals. Procedia Comput Sci 88:359–364 https://doi.org/10.1016/j.procs.2016.07.449, http://www.sciencedirect.com/science/article/pii/S1877050916317057. 7th Annual International Conference on Biologically Inspired Cognitive Architectures, BICA 2016, held July 16 to July 19, 2016 in New York City, NY, USA
Acknowledgements
This research is supported in part by the Russian Foundation for Basic Research, RFBR grants 19-07-00326-a, 19-07-00420-a, 18-07-01082-a, 17-07-00893-a.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Wolfengagen, V., Ismailova, L., Kosikov, S. (2020). Cognitive Features for Stability of Semantic Information Processing. In: Samsonovich, A. (eds) Biologically Inspired Cognitive Architectures 2019. BICA 2019. Advances in Intelligent Systems and Computing, vol 948. Springer, Cham. https://doi.org/10.1007/978-3-030-25719-4_76
Download citation
DOI: https://doi.org/10.1007/978-3-030-25719-4_76
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-25718-7
Online ISBN: 978-3-030-25719-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)