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Estimates of the Group Intelligence of Robots in Robotic Systems

  • Andrey E. Gorodetskiy
  • Irina L. Tarasova
Chapter
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 174)

Abstract

Problem statement: the questions of group interaction of intelligent Electromechanical systems (SENS) in RoboTic Systems (RTS) play an important role in the analysis of RTS capabilities to perform certain tasks. The paper proposes a solution to the problems of group intelligence assessment based on the results of RTS test modeling. This issue occurs if necessary matching the best candidates to the group of RTS from the existing set of modules SEMS, for example, when you want to perform merge/split parts of RTS, the introduction of the group new robot or withdraw the existing or producing other transformation groups SEMS associated with the implementation of technological tasks. Purpose of research: proposed and implemented an approach to solving the problem of test modeling of a group of robots using the apparatus of fuzzy mathematical modeling. The coefficients of vector estimation of group intelligence are developed. As the components of vector estimation, the coefficient of intellectual abilities, the creativity coefficient and the coefficient of motivational inclusion of the j-th group of robots are proposed. Results: The structure of a mathematical model for testing a group of robots is developed, including dynamic models of both interacting robots and the environment. The formulas for computing the components of the vector estimation of the group intelligence of RTS are proposed. Practical significance: the proposed solution of RTS test modeling provides high functionality of models of robot groups, taking into account the SEMS ideology, allowing to perform group intelligence estimation by computer modeling taking into account the so-called “psychological” features of the group members.

Keywords

Robotic complex Robot group SEMS Central nervous system Fuzzy mathematical modeling Test computer modeling 

Notes

Acknowledgements

This work was financially supported by Russian Foundation for Basic Research, Grant 16-29-04424 and Grant 18-01-00076.

References

  1. 1.
    Gorodetskiy, A.E.: Smart Electromechanical Systems, 277p. Springer International Publishing (2016).  https://doi.org/10.1007/978-3-319-27547-5Google Scholar
  2. 2.
    Gorodetskiy, A.E., Kurbanov, V.G.: Smart Electromechanical Systems: The Central Nervous System. In: Studies in Systems, Decision and Control, vol. 95, 270p. Springer International Publishing Switzerland (2017).  https://doi.org/10.1007/978-3-319-53327-8Google Scholar
  3. 3.
    Gorodetskiy, A.E., Tarasova, I.L.: Intellektual’nye programmnye sredstva dlya avtomatizirovannyh ispytanij sensornyh sistem (Intelligent software for automated testing of sensor systems). In: Gorodetskiy, A.E., Kurbanov, V.G. (eds) Physical Metrology: Theoretical and Applied Aspects, pp. 68–74. Publishing house KN (1996)Google Scholar
  4. 4.
    Gorodetskiy, A.E., Al-Rasasbeh, R.T.: Vector estimates of the group activity of operators. In: Collection of Works: Modern Problems of Socio-economic Development and Information Technology, p. 63. Baku (2004)Google Scholar
  5. 5.
    Al-Kasasbeh, R.T.: Statistical-similar model of organization work for Small Group Information System operators. In: Proceeding of International Carpathian Conference ICCC, pp. 217–224Google Scholar
  6. 6.
    Popchetelev, E.P.: Training for Studying Group, pp. 65–67. Leningrad Technical University News, Leningrad (1988)Google Scholar
  7. 7.
    Antonets, V.A., Anishkina, N.M.: Measurements and perception in man/machine systems, 12p. Preprint of IAP RAS, N 518, Nizhny Novgorod (1999)Google Scholar
  8. 8.
    Yoshida, K., Yokobayashi, M.: Development of AI-based simulation system for man-machine system behavior in accidental situations of nuclear power plant. JapanGoogle Scholar
  9. 9.
    Jung Hwa, S., Hyung-Shik, J.: Establishment of overall workload assessment technique for various tasks and workplaces. Int. J. Ind. Ergon. 28, 341–353 (2001). (ISSN 0169-8141)CrossRefGoogle Scholar
  10. 10.
    Kitaura, W., Ujita, H., Fukuda, M.: Man-machine system. United States Patent US5247433AGoogle Scholar
  11. 11.
    Eykhoff, P.: System Identification, Parameter and State Estimation. Wiley, London (1974)zbMATHGoogle Scholar
  12. 12.
    Gorodetskiy, A.E, Tarasova, I.L.: Fuzzy mathematical modeling badly formalized processes and systems, 336p. SPb.: Publishing House of the Polytechnic. University Press (2010)Google Scholar
  13. 13.
    Gorodetskiy, A.E.: Foundations of the theory of intelligent control systems. LAP LAMBERT Academic Publishing GmbH @ Co. KG, 313 c (2011)Google Scholar
  14. 14.
    Gorodetskiy A.E.: Fuzzy decision making in design on the basis of the hubituality. In: Reznik, L., Dimitrov, V., Kasprzyk, J.: Fuzzy System Design, Physica Verlag (1998). ISBN 3-7908-1118-1Google Scholar
  15. 15.
    Gorodetsky A.E.: Ob ispol’zovanii situacii privychnosti dlya uskoreniya prinyatiya reshenij v intellektual’nyh informacionno-izmeritel’nyh sistemah (On the use of the habitual situation for accelerating decision-making in intelligent information and measurement systems. In: Gorodetskiy, A.E., Kurbanov, V.G. (eds) Physical Metrology: Theoretical and Applied Aspects, pp. 141–151. Publishing house KN (1996)Google Scholar
  16. 16.
    Renzulli, J.S.: What Makes Giftedness? Reexamining a Definition. Phi Delta Kappan, 60(3), 180–184, 261 (1978)Google Scholar
  17. 17.
    Renzulli, J.S.: Schools for Talent Development: A Practical Plan for Total School Improvement. Creative Learning Press, Mansfield Center, CT (1994)Google Scholar
  18. 18.
    Renzulli, J.S., Reis, S.M.: The Schoolwide Enrichment Model: A Comprehensive Plan for Educational Excellence. Creative Learning Press, Mansfield Center, CT (1985)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Institute of Problems of Mechanical Engineering Russian Academy of SciencesSt. PetersburgRussia
  2. 2.Peter the Great St. Petersburg Polytechnic UniversitySaint-PetersburgRussia

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