Keywords: multi-agent system, LN-, DM- and DN-distributions, reliability, electronic modules, group assessment of arguments, tests
References
1. Bondarenko I.B., Kalyaeva E.A., Koksharov D.N. Adaptаtsiya parametrov geneticheskogo algoritma dlya optimizatsii slozhnykh funktsii [Adaptation of parameters of genetic algorithm for complex function optimization]. Izv. vuzov. Priborostroenie, 2011, vol. 54, no. 9, pp. 5–9.
2. Bondarenko I.B., Gatchin Yu.A., Trofimova E.Yu. Prognozirovanie nadezhnosti uzlov pechatnykh plat pri uskorennykh ispytaniyakh [Reliability prediction of PCB assemblies with accelerated tests]. Trudy kongressa po intellektual'nym sistemam i informatsionnym tekhnologiyam (IS-IT’12)[Proc. of the Congress on Intelligent Systems and Information Technology (IS-IT'12)]. Moscow, FIZMATLIT Publ., 2012, vol. 2, pp. 92–97. (In Russian)
3. Romanov V. Kolichestvennaya otsenka nadezhnosti integral’nykh mikroskhem s uchetom matematicheskoi modeli otkazov [Quantitative assessment of the reliability of integrated circuits based on mathematical models of failures]. Electronnye komponenty i sistemy, 2005, no. 4, pp. 4–7.
4. Wooldridge M. An introduction to multiagent systems. 2nd ed. Wiley, NY, 2009, 484 p.
5. Russel S., Norving P. Artificial intelligence. A modern approach. 2nd ed. Prentice Hall Publ., 2010, 1152 p.
6. Gaston M.E., Desjardins M. The effect of network structure on dynamic team formation in multi-agent systems. Computational Intelligence, 2008, vol. 24, no. 2, pp. 122–157. doi: 10.1111/j.1467-8640.2008.00325.x
7. Barton L. & Allan V.H. Methods for coalition formation in adaptation-based social networks. Lecture Notes in Computer Science, 2007, vol. 4676, pp. 285–297. doi: 10.1007/978-3-540-75119-9_20
8. Shoham Y., Leyton-Brown K. Multiagent systems: Algorithmic, game-theoretic, and logical foundations. Cambridge: Cambridge University Press, 2008, 532 p.
9. Dignum F., Bradshaw J., Silverman B., van Doesburg W. Agents for games and simulations: Trends in techniques, concepts and design. Springer, 2010, 273 p.
10. deWeerdt M.M., Zhang Y., Klos T. Multiagent task allocation in social networks. Autonomous Agents and Multi-Agent Systems, 2012, vol. 25, no. 1, pp. 46–86. doi: 10.1007/s10458-011-9168-3
11. Gatchin Yu.A., Bondarenko I.B., Solov’ev D.V. Primenenie mnogoagentnogo podkhoda pri prinyatii optimal’nykh reshenii [Application of multi-agent approach for optimal decisions creation]. Trudy kongressa po intellektual'nym sistemam i informatsionnym tekhnologiyam (IS-IT’13). [Proc. of the Congress on Intelligent Systems and Information Technology (IS-IT'13)]. Moscow, FIZMATLIT Publ., 2013, vol. 1, pp. 19–22. (In Russian)
12. Воndarenko I.B., Korobeynikov A.G., Prokhozhev N.N. Mikhailichenko O.V. Prinyatie tekhnicheskikh reshenii s pomoshch’yu mnogoagentnykh sistem [Adoption of technical solutions using multi-agent systems]. NB: Kibernetikaiprogrammirovanie, 2013, no 1, pp. 16–20.
13. RD 50-690-89. Metodicheskie ukazaniya. Nadezhnost’ v tekhnike. Metody otsenki pokazatelei nadezhnosti po eksperimental’nym dannym[Guidance document 50-690-89. Methodical instructions. Reliability in engineering. Estimation methods for reliability by experimental data]. Moscow, Izdatel'stvostandartovPubl., 1990. 133 с.
14. GOST 27.410-87. Nadezhnost’ v tekhnike. Metody kontrolya pokazatelei nadezhnosti i plany kontrol’nykh ispytanii na nadezhnost’[State Standard 27.410-87. Reliability in engineering. Control methods of reliability and monitoring plans for reliability tests]. Moscow, Izdatel'stvo standartov Publ., 1987, 79 p.
15. Rumbell T., Barnden J., Denham S., Wennekers T. Emotions in autonomous agents: comparative analysis of mechanisms and functions. Autonomous Agents and Multi-Agent Systems, 2012, vol. 25, no. 1, pp. 1–45. doi: 10.1007/s10458-011-9166-5
16. Strogonov A. Otsenka dolgovechnosti BIS po resultatam uskorennykh ispytanii [Estimation of durability of microcircuits based on the results of accelerated tests]. Tekhnologii v elektronnoi promyshlennosti, 2007, no. 3, pp. 90–96.
17. Zelenkov A.A., Golik A.P. Otsenka nadezhnosti bortovoi avioniki na osnove DN-raspredeleniya [Evaluation of avionic’s reliability using DN-based distribution]. Elektronika ta sistemy upravleniya, 2009, no. 2 (20), pp. 12–17.
18. Strel’nikov V.P., Antipenko K.A. O metodicheskikh pogreshnostyakh prognozirovaniya resursa vysokonadezhnykh izdelii elektronnoi tekhniki [On methodological errors of resource forecasting at highly reliable electronic products]. Matematicheskie mashiny i sistemy, 2004, no. 3, pp. 164–167.
19. RD 26.260.004-91.Metodicheskie ukazaniya. Prognozirovanie ostatochnogo resursa oborudovaniya po izmeneniyu parametrov ego tekhnicheskogo sostoyaniya pri ekspluatatsii [Guidance document 26.260.004-91. Methodical instructions. Prediction of residual life of equipment to change the parameters of its technical condition during operating]. Moscow, Izdatel'stvostandartovPubl., 1991,38 с.
20. Воndarenko I.B., Gatchin Yu.A., Geranichev V.N. Sintez optimal’nykh iskusstvennykh neironnykh setei s pomoshch’yu modifitsirovannogo geneticheskogo algoritma [Synthesis of optimal artificial neural networks by modified henetic algorithm]. Scientific and Technical Journal of Information Technologies, Mechanics and Optics,2012, no 2 (78), pp. 51–55.
21. GOST 25359-82. Izdeliya elektronnoi tekhniki. Obshchie trebovaniya po nadezhnosti i metody ispytanii[State Standard 25359-82. Electronic products. General requirements for reliability and test methods]. Moscow, Izdatel'stvo standartov Publ., 1982, 7 p.
22. Ivanov A.I., Bondarenko I.B. Modelirovanie nadezhnosti elektronnoi tekhniki pri uslovii edinichnykh otkazov [Modeling reliability of electronic equipment subject to single failures]. Materialy VIII mexhdunarodnoi nauchno-practicheskoi konferentsii «Obrazovanie i nauka v ХХI veke–2012»[Proc. VIII international scientific and practical conference “Education and science at XIX century - 2012”]. Sofia: 2012, pp. 49–54.
';
