Systems and Means of Informatics
2016, Volume 26, Issue 4, pp 100-113
VISUAL REASONING MODELING IN A FUNCTIONAL HYBRID INTELLIGENT SYSTEM
- A. V. Kolesnikov
- S. V. Listopad
- S. B. Rumovskaya
- V. I. Danishevsky
Abstract
Hybrid intelligent systems have been successfully used to solve the problems with high modeling complexity due to combination of multiple methods of simulation of human intellectual activity and compensation of some methods' shortcomings by advantages of the other. Most hybrid intelligent systems are based on the interaction of elements of the symbolic-logical model of knowledge, which limits their opportunities in comparison with the groups of experts, operating character-logical and visual-imaginative knowledge. Modeling of the collective visual-imaginative reasoning is proposed for implementation in a new class of intelligent systems - hybrid intelligent systems with heterogeneous visual field. To implement such reasoning, the formalized model of visual languages, based on the concept of the semiotic system by D. A. Pospelov, and the principles of their combination in the heterogeneous visual field are proposed.
[+] References (17)
- Kolesnikov, A. V., and S. V. Listopad. 2016. Kontseptual'no-vizual'nye osnovy virtu- al'nykh geterogennykh kollektivov, podderzhivayushchikh prinyatie resheniy [Conceptual and visual basics of virtual heterogeneous teams supporting decision-making]. Gib- ridnye i sinergeticheskie intellektual'nye sistemy: Mat-ly III Vseross. Pospelovskoy konf. s mezhdunarodnym uchastiem [3rd All-Russia Pospelov Conference with International Participation "Hybrid and Synergistic Intelligent Systems" Proceedings]. Kaliningrad: IKBFU Publ. 8-56.
- Susov, I. P. 2006. Lingvisticheskaya pragmatika [Linguistic pragmatics]. Moscow: Vostok-Zapad. 200 p.
- Mazza, R. 2009. Introduction to information visualization. London: Springer-Verlag London Limited. 139 p.
- Sibbet, D. 2013. Visual leaders: New tools for visioning, management, and organization change. Hoboken, NJ: Wiley. 229 p.
- Bowman, W. J. 1968. Graphic communication. New York, NY: John Wiley. 210 p.
- Narayanan, N. H., and R. Hubscher. 1998. Visual language theory: Towards a human- computer interaction perspective. Visual language theory. New York, NY: Springer- Verlag. 81-128.
- Fitrianie, S., and L. J.M. Rothkrantz. Two-dimensional visual language grammar. Available at: http://mmi.tudelft.nl/pub/siska/TSD2DVisLangGrammar.pdf (accessed September 5, 2016).
- Lakin, F. 1987. Visual grammars for visual languages. 6th National Conference on Artificial Intelligence Proceedings. Menlo Park, CA: AAAI Press. 683-688.
- Kremer, R. Visual languages for knowledge representation. Available at: http:// ksi.cpsc.ucalgary.ca/KAW/KAW98/kremer/ (accessed September 5, 2016).
- Mishin, A. V., and S. A. Mishin. 2014. Sostav logicheskikh komponent pragmatiki intellektual'noy sistemy [The composition of the logical components of pragmatics of the intelligent system]. Vestnik Voronezhskogo instituta MVD Rossii [Vestnik of Voronezh Institute of the Ministry of Internal Affairs of Russia] 3:73-80.
- Tarasov, V. B. 2015. Problema ponimaniya: nastoyashchee i budushchee iskusstvennogo intellekta [The problem of understanding: The present and the future of artificial intelligence]. 5th Scientific and Technical Conference (International) "Open Semantic Technologies for Intelligent Systems" Proceedings. Minsk: BSUIR. 25-42.
- Goddard, L., and R. Routley. 1973. The logic of significance and context. Edinburgh: Scottish Academic Press. 641 p.
- Budbaeva, S. P., and B. N. Pyatnitsyn. 1974. K issledovaniyu i postroeniyu prag- maticheskikh logik [On the study and construction of pragmatic logic]. Filosofiya v sovremennom mire. Filosofiya i logika [The philosophy of the modern world. Philosophy and logic]. Moscow: Nauka. 220-278.
- Ivin, A. A. 1997. Osnovy teorii argumentatsii [Fundamentals of the theory of argumentation]. Moscow: VLADOS. 352 p.
- Osipov, G. S. 2002. Ot situatsionnogo upravleniya k prikladnoy semiotike [From situational management to applied semiotics]. Novosti iskusstvennogo intellekta [Artificial Intelligence News] 6(54):3-7.
- Kolesnikov, A.V. 2001. Gibridnye intellektual'nye sistemy. Teoriya i tekhnologiya razrabotki [Hybrid intelligent systems: Theory and technology of development]. St. Petersburg: SPbGTU Publ. 711 p.
- Kolesnikov, A.V., S.V. Listopad, V.I. Danishevskiy, and K.V. Suvorov. 2016. Tekhnologii vizual'nogo upravleniya i kognitivnoy grafiki v funktsional'nykh gibrid- nykh intellektual'nykh sistemakh podderzhki prinyatiya resheniy [Visual management and cognitive graphics technologies in the functional hybrid intelligent decision support systems]. Gibridnye i sinergeticheskie intellektual'nye sistemy: Mat-ly III Vseross. Pospelovskoy konf. s mezhdunarodnym uchastiem [3rd All-Russia Pospelov Conference with International Participation "Hybrid and Synergistic Intelligent Systems" Proceedings]. Kaliningrad: IKBFU Publ. 166-173.
[+] About this article
Title
VISUAL REASONING MODELING IN A FUNCTIONAL HYBRID INTELLIGENT SYSTEM
Journal
Systems and Means of Informatics
Volume 26, Issue 4, pp 100-113
Cover Date
2016-11-30
DOI
10.14357/08696527160409
Print ISSN
0869-6527
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
hybrid intelligent system; heterogeneous visual field; visual language; semiotic system
Authors
A. V. Kolesnikov  ,  , S. V. Listopad , ,
S. B. Rumovskaya , and V. I. Danishevsky
Author Affiliations
Emmanuel Kant Baltic Federal University, 14 A. Nevskogo Str., Kaliningrad 236041, Russian Federation
Kaliningrad Branch of the Federal Research Center"Computer Science and Control" of the Russian Academy of Sciences, 5 Gostinaya Str., Kaliningrad 236000, Russian Federation
|