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A Model of Command Behavior of Agents in a Qualitative Semiotic Environment. Part 1. A Qualitative Functioning Environment. Basic Definitions and Statement of the Problem

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Abstract

The mathematical model of the formation and functioning of a team of artificial intelligence agents with BDI architecture in a qualitative semiotic (sign) environment of functioning is considered in the work. As the basis of the mathematical model of the environment of functioning, the model of the “Group of robots–Environment” multi-agent dynamic system was chosen. A method for structuring the environment of functioning in the form of a partially ordered set of embedded subspaces of the state space of a dynamical system and a method for symbolizing the classes of states by symbol names that define these classes are proposed. Such a structure is defined as a qualitative conceptual framework of the environment and is called the semiotic environment of functioning. In terms of a qualitative semiotic functioning environment, a mathematical model of an intelligent agent with a BDI architecture is proposed and the conditions for the formation and functioning of teams of intelligent agents in this environment are formulated.

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References

  1. Kalyaev, I.A., Gaiduk, A.R., and Kapustyan, S.G., Modeli i algoritmy kollektivnogo upravleniya v gruppakh robotov (Models and Algorithms of Collective Control in Groups of Robots), Moscow: FIZMATLIT, 2009.

    MATH  Google Scholar 

  2. Gorodetskii, V.I., Theory, models, infrastructures, and languages of the specification of command behavior of autonomous agents. Review (Part 1), Iskusstv. Intell. Prinyatie Reshenii, 2011, no. 2, pp. 19–30.

    Google Scholar 

  3. Novikov, D.A., Matematicheskie modeli formirovaniya i funktsionirovaniya komand (Mathematical Models of the Formation and Functioning of Commands), Moscow: FIZMATLIT, 2008.

    Google Scholar 

  4. Wooldridge, M.J., The logical modeling of computational multi-agent systems, PhD Thesis, Manchester, 1992.

    Google Scholar 

  5. Kripke, S., Semantic analysis of modal logic, Z. Mat. Logik Grundlagen Mat., 1963, no. 9, pp. 67–96.

    Article  MATH  Google Scholar 

  6. Rao, A.S. and Georgeff, M.P., BDI agents: From theory to practice, Proc. First International Conference on Multi-Agent Systems, Lesser, V., Ed., AAAI Press/The MIT Press, 1995, pp. 312–319.

    Google Scholar 

  7. Cohen, P. and Levesque, H.J., Teamwork, Noûs, 1991, vol. 25, no. 4, pp. 487–512.

    Article  Google Scholar 

  8. Grosz, B. and Kraus, S., Collaborative plans for complex group actions, Artif. Intell., 1996, no. 86, pp. 269–358.

    Article  MathSciNet  Google Scholar 

  9. Tsetlin, M.L., Issledovaniya po teorii avtomatov i modelirovaniyu biologicheskikh sistem (Studies in the Theory of Automata and the Modeling of Biological Systems), Moscow: Nauka, 1969.

    MATH  Google Scholar 

  10. Stefanyuk, V.L. and Tsetlin, M.L., On the regulation of power in a group of radio stations, Probl. Peredachi Inf., 1967, vol. 3, no. 4, pp. 59–67.

    Google Scholar 

  11. Varshavskii, V.I. and Pospelov, D.A., Orkestr igraet bez dirizhera (Conductor-Free Orchestra), Moscow: Nauka, 1984.

    Google Scholar 

  12. Karpov, V.E., Models of social behavior in group robotics, Upr. Bol’shimi Sist., 2016, vol. 59, pp. 165–232.

    Google Scholar 

  13. Pavlovskii, V.E. and Pavlovskii, V.V., A mathematical model of a 2D homogeneous swarm of robots, Sci. Tech. Inf. Process., 2016, vol. 43, nos. 5–6, pp. 306–314.

    Article  Google Scholar 

  14. Owen, G., Game Theory, Academic Press, 1995.

    MATH  Google Scholar 

  15. Smirnov, A.V. and Sheremetov, L.B., Models of coalition formation among cooperative agents: The current state and prospects of research, Sci. Tech. Inf. Process., 2012, vol. 39, no. 5, pp. 283–292.

    Article  Google Scholar 

  16. Conte, R., Edmonds, B., and Moss, S., et al., Sociology and social theory in agent based social simulation, Symp.: Comput. Math. Organ. Theory, 2001, vol. 7, no. 3, pp. 183–205.

    Google Scholar 

  17. Sichman, J., Conte, R., Castelfranchi, C., et al., A social reasoning mechanism based on dependence networks, Proc. 11th European Conference on Artificial Intelligence (ECAI), Amsterdam, 1994, pp. 188–192.

    Google Scholar 

  18. Tarasov, V.B., Ot mnogoagentnykh sistem k intellektual’nym organizatsiyam (From Multi-Agent Systems to Intelligent Organizations), Moscow: Editorial URSS, 2002.

    Google Scholar 

  19. Kulinich, A.A., Conceptual frameworks of ontologies for Ill-structured problem domains, Sci. Tech. Inf. Process., 2015, vol. 42, no. 6, pp. 411–419.

    Article  Google Scholar 

  20. Biryukov, B.V., Theory of meaning of Gottlob Frege, in Primenenie logiki v nauke i tekhnike (Application of Logic in Science and Technology), Moscow: Izd. Akad. Nauk SSSR, 1960, pp. 502–555.

    Google Scholar 

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Correspondence to A. A. Kulinich.

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Original Russian Text © A.A. Kulinich, 2017, published in Iskusstvennyi Intellekt i Prinyatie Reshenii, 2017, No. 3, pp. 38–48.

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Kulinich, A.A. A Model of Command Behavior of Agents in a Qualitative Semiotic Environment. Part 1. A Qualitative Functioning Environment. Basic Definitions and Statement of the Problem. Sci. Tech. Inf. Proc. 45, 417–424 (2018). https://doi.org/10.3103/S0147688218060059

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