Статьи за 1995-2000 годы
2000 год 1999 год | | Affeldt J.F. 1999. The application of system dynamics (SD) simulation to enterprise management. In Proceedings of the 1999 Winter Simulation Conference, ed. P.A. Farrington, H. B. Nembhard, D.T. Sturrock, G.W. Evans, Pages 1496-1500. Phoenix, AZ.
Aguilar M., Rautert, T. and Pater, A.J.G. 1999. Business process simulation: a fundamental step supporting process centred management, Proceedings of the 1999 Winter Simulation Conference, Ed. by Farrington, P.A., Nembhard, H.B., Sturrock, D.T. and Evans, G.W., Piscataway, NJ: Institute of Electrical and Electronics Engineers, 1383-1392.
Anderson E.G., Morrice D.J. A simulation model to study the dynamics in a service-oriented supply chain // Proceedings of the 1999 Winter Simulation Conference, 1999, p. 742-748.
Anu Maria Introduction to modeling and simulation systems // Proceedings of the 1999 Winter Simulation Conference. P.7-13.
This introductory tutorial is an overview of simulation modeling and analysis. Many critical questions are answered in the paper. What is modeling? What is simulation? What is simulation modeling and analysis? What types of problems are suitable for simulation? How to select simulation software? What are the benefits and pitfalls in modeling and simulation? The intended audience is those unfamiliar with the area of discrete event simulation as well as beginners looking for an overview of the area. This includes anyone who is involved in system design and modification – system analysts, management personnel, engineers, military planners, economists, banking analysts, and computer scientists. Familiarity with probability and statistics is assumed.
Aoyama, K., Nomoto, T. and Watanabe, K. Development of a Shipyard Simulator based on Petri nets // Journal of Marine science and Technology, Vol. 4, pp. 35-43, 1999.
Banks J. (1999). Introduction to Simulation. In: Proceedings of the WinterSimulation Conference, pp. 7-13.
Barclay W.J. Point-to-Point microscopic simulation: a discussion of issues // In Proceedings of the First Western Pacific and Third Australia-Japan Workshop on stochastic models, Christchurch, New Zealand, 1999.
D. Beier, P. Lorenz und Th. Schulze Simulation und Datenbanken im WWW in Hohmann (Ed.): Simulationstechnik/ Tagungsband 13. Symposium Weimar 1999 p.449-454.
Bruzzone A.G., Giribone P., Revetria R. 1999, Design and management issues in the development of the new workshops using web-based simulation and neural networks. Proceedings of FAIM.99, pp.265-276. Tilburg (NL), June 23-25.
Robert C. Crain, James O. Henriksen Simulation using GPSS/H // Proceedings of the 1999 Winter Simulation Conference P. A. Farrington, H. B. Nembhard, D. T. Sturrock, and G. W. Evans, eds. P.182-187.
GPSS/H is a traditional simulation language that is well known for its speed and dependability. In GPSS/H, the process-interaction world view has been combined with many advanced features to make an extremely powerful and flexible tool, capable of handling large, complicated models with ease, yet still providing exceptionally high performance. The following sections provide an overview of GPSS/H and its process-interaction world view, a discussion of model-building interfaces including tradeoffs associated with graphical modeling environments, and a summary of advanced and recently-added GPSS/H features. Finally, the use of special-purpose simulators is discussed, along with features of GPSS/H which make it very well-suited for use as the engine in such simulators.
Epstein J. M. Agent‐based computational models and generative social science //Complexity. – 1999. Т. 4. №. 5. С. 41-60.
Ferreira J.A. and Estima de Oliveira J.P. Modelling Hybrid Systems using Statecharts and Modelica // In Proc. 7th IEEE International Conference on Emerging Technologies and Factory Automation, pages 1063–1069, 1999.
Glover F., Kelly J.P., Laguna M. New advances for wedding optimization and simulation optimization // Proceedings of the 1999 Winter Simulation Conference. – 1999. – P. 255–260.
Hicks D.A. A four-step methodology for using simulation and optimization technologies in strategic supply chain planning // Proceedings of the 1999 Winter Simulation Conference, 1999, p. 1215-1220.
Hlupic V. Discrete-Event Simulation Software: What the Users Want, Simulation, Vol. 73, No. 6, 1999, P.362-370.
Hlupic V., Irani Z. and Paul R.J. (1999). Evaluation framework for simulation software. In: The International Journal of Advanced Manufacturing Technology, 15(5), pp. 366-382.
Ingalls R.G., Kasales C. CSCAT: The Compaq supply chain analysis tool // Proceedings of the 1999 Winter Simulation Conference, 1999, p. 1201-1206.
Jacobson S.H., Schruben L.W. A harmonic analysis approach to simulation sensitivity analysis // HE Transactions. 1999. Vol. 31. P. 231-243.
J. B. Jun, S. H. Jacobson, J. R. Swisher, 1999. Application of discrete-event simulation in health care clinics: A survey. Journal of the Operational Research Society 50: 109-123.
Kelton W.D. 1999. Designing simulation experiments. In Proceedings of the 1999 Winter Simulation Conference, ed. P.A. Farrington, H.B. Nembhard, D.T. Sturrock, and G.W. Evans, 33.38. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey.
Kleijnen J.P.C. 1999. Validation of models: statistical techniques and data availability. In Proceedings of the 1999 Winter Simulation Conference, eds. P.A. Farrington, H.B. Nembhard, D.T. Sturrock, and G.W. Evans, 647-654.
Krahl D. 1999. Modeling with Extend // In Proceedings of the 1999 Winter Simulation Conference Proceedings, ed. P.A. Farrington, H.B. Nembhard, D.T. Sturrock, and G.W. Evans, 188-195. IEEE, Piscataway, NJ.
Averill M. Law, Michael G. McComas Simulation of manufacturing systems // Proceedings of the 1999 Winter Simulation Conference. P.56-59.
This paper discusses how simulation is used to design new manufacturing systems and to improve the performance of existing ones. Topics to be discussed include: manufacturing issues addressed by simulation, simulation software for manufacturing applications, techniques for building valid and credible models, and statistical considerations. A comprehensive example will be given in the conference presentation.
Lee K. and P. Fishwick. 1999. OOPM/RT: A Multimodeling Methodology for Real-Time Simulation, ACM Transactions on Modeling and Computer Simulation, 9(2), April 1999, pp. 141-170.
Martinez J.C. and P.G. Ioannou. 1999. General Purpose Systems for Effective Construction Simulation. Journal of Construction Engineering and Management. ASCE. 125(4). P.265-276.
Mastaglio T. 1999. Enterprise Simulation: Theoretical Foundations and a Practical Perspective. In Proceedings of the 1999 Winter Simulation Conference, ed. P.A. Farrington, H.B. Nembhard, D.T. Sturrock, G.W. Evans, Pages 1485-1489. Phoenix, AZ.
Mattsson S.E., Otter M. and Elmqvist H. Modelica hybrid modeling and efficient simulation // Proc. 38th IEEE Conference on Decision and Control, Phoenix, AZ, USA, 1999, pp. 3502–3507.
Mehta A. and I. Rawles. 1999. Business solutions using Witness. In Proceedings of the 1999 Winter Simulation Conference, ed., Farrington, P.A., Nembhard, H.B., Sturrock, D.T., and Evans, G.W., 230-233. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey.
Moore L., Ray B. (1999). Statistical methods for sensitivity and performance analysis in computer experiments. In: Proceedings of the Winter Simulation Conference, pp. 486-491.
Morrison D., Dennis B. (2005). MetaLab: supporting social grounding and group task management in CSCL environments through social translucence.
Nance R.E. Distributed simulation with federated models: expectations, realizations and limitations // Processing of the Winter Simulation Conference (5–8 Dec. 1999, Phoenix) / Ed. by P.A. Farrington, H. B.Nembhard, D.T. Sturrock, G.W.Evans. / Piscataway (New Jersey): Inst. of Electric. and Electron. Engrs, 1999, p. 1026–1031.
Narayanan S., N.R. Edala, J. Geist, P.K. Kumar, H.A. Ruff, M. Draper and M. Haas. 1999. UMAST: A web based architecture for modeling uninhabited aerial vehicles. Simulation, 73 (1), July, pp.29-39.
Okol'nishnikov V.V., Rudometov S.W. Distributed simulation system integrated into control system. // Proc. of 13th Europ. Simulation Multiconference. — Warsaw, 1999. — V. 2. — p. 510–512.
Otter M., Elmqvist H. and Mattsson S.E. Hybrid modeling in Modelica based on the synchronous data fl ow principle // Proc. 10th IEEE International Symposium on Computer Aided Control System Design, Kohala Coast, HI, USA, 1999, pp. 151–157.
Price R.N. and C.R. Harrell. 1999. Simulation modeling and optimization using ProModel. In Proceedings of the 1999Winter Simulation Conference, ed. P.A. Farrington, H.B. Nembhard, D.T. Stuffock, and G.W. Evans, pp.208-214. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey.
Richardson G.P. Reflections for the Future of System Dynamics // The Journal of the Operational Research Society. 1999. Vol. 50. N 4. P. 440–449.
Sadowski, D. A. and M. R. Grabau. 1999. Tips for Successful Practice of Simulation // In Proceedings of the 1999 Winter Simulation Conference, ed. P. A. Farrington, H. B. Nembhard, D. T. Sturrock, and G. W. Evans, 60-66. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.
Sargent R.G. 1999. Validation and Verification of Simulation Models. In Proceedings of the 1999 Winter Simulation, eds., P.A. Farrington, H.B. Nembhard, D.T. Sturrock, and G.W. Evans, 39-48
Schmeiser (1999). Advanced input modeling for simulation experimentation. In: Proceedings of the Winter Simulation Conference, pp. 110-115.
Smeliansky R.L., Bakhmurov A.G., Kostenko V.A. DYANA – An Environment For Simulation And Analysis Of Distributed Multiprocessor Computer Systems // Proceedings of TACAS'99, 1999.
Unger B. Scheduling Critical Channels in Conservative Parallel Discrete Event Simulation // Proceedings of the Workshop on Parallel and Distributed Simulation, 1999.
Wilensky U. (1999). GasLab: An extensible modeling toolkit for exploring micro- and macro- views of gases // In N. Roberts, W. Feurzeig, & B. Hunter (Eds.), Computer modeling and simulation in science education (pp. 151-178). Berlin: Springer Verlag.
Wilensky U., Hazzard E., Froemke R. (1999). GasLab: An Extensible Modeling Toolkit for Exploring Statistical Mechanics // Paper presented at the Seventh European Logo Conference – EUROLOGO '99, Sofia, Bulgaria.
Wilensky U., Resnick M. (1999). Thinking in Levels: A Dynamic Systems Perspective to Making Sense of the World // Journal of Science Education and Technology, 8(1).
The concept of emergent «levels» (i.e., levels that arise from interactions of objects at lower levels) is fundamental to scientific theory. In this paper, we argue for an expanded role for this concept of levels in science education.
Wilensky U., Stroup W. (1999). Learning through participatory simulations: Network-based design for systems learning in classrooms // Proceedings of Computer Supported Collaborative Learning (CSCL'99). Stanford, CA, December 12 - 15.
Wilensky U., Stroup W. (1999). Participatory Simulations: Networked-based Design for Systems Learning in Classrooms // Presented at the PI meeting of the National Science Foundation, EHR division, June 3 - 4.
Антонова Г.М. Моделирование процессов для поиска рационального решения. // Информационные технологии, № 11, 1999.
Антонова Г.М. Применение ЛП-оптимизации в рамках оптимизационно-имитационного подхода при выборе помехоустойчивых корректирующих кодов // Автоматика и телемеханика, № 7, 1999.
Бахвалов Л.А., Шпильчевский О.В. Системное моделирование угольной шахты // Горный информационно-аналитический бюллетень (научно-технический журнал), № 4, 1999 год.
Болдырев Р.Л., Руссман И.Б., Щепина И.Н. Имитационное моделирование структурных сдвигов на основе балансовых моделей // Экономическая наука современной России, №4, 1999.
Вознесенская Т.В. Оценка эффективности оптимистических алгоритмов синхронизации времени для распределенного имитационного моделирования // Интеллектуальные многопроцессорные системы: тезисы докладов Международной конференции, 1–5 сентября 1999 г. – Таганрог, Россия, 1999. – С. 66.
Гришков А.Ф., Маргелов А.В., Маргелов А.А. Повышение точности генераторов случайных временных интервалов // Известия Южного федерального университета. Технические науки, № 3, том 13, 1999 год. С.203-206.
Гусак О.Ю., Кобзев И.В., Руденко Д.А. Исследование вероятности блокировки соединения в WDM оптических сетях с произвольно распределенным потоком входных заявок // Журнал «Радиоэлектроника и информатика», № 2 (7), 1999 год. С.92-93.
Жигаев А.Ю. Управление и прогнозирование государственного долга в среднесрочной перспективе (сценарный подход) // Экономический журнал Высшей школы экономики, № 3, том 3, 1999 год. С.395-422.
Кузьменко В.М., Гненный А.М. Динамическое моделирование систем массового обслуживания визуальными средствами // Журнал «Радиоэлектроника и информатика», выпуск № 3 (8), 1999 год.
Описывается применение идеографического подхода к языку GPSS, что позволило разработать систему визуального моделирования Visual QSDM. Использование данного программного комплекса позволяет проводить моделирование достаточно сложных систем массового обслуживания без глубокого знания языков моделирования.
Родионов А.С. Распределенное моделирование цифровых систем связи // Материалы международного семинара «Перспективы развития современных средств и систем телекоммуникаций-99», Хабаровск, 5-10 июля 1999. Новосибирск, 1999. С. 105-109.
Савинков А.Ю. Использование библиотек классов C++ для имитационного моделирования // Цифровая обработка сигналов и ее применение: МНТК. М., 1999. Т. 1. С. 217-233.
Смирнов С.В. Среда моделирования для построения инженерных теорий // Журнал «Известия Самарского научного центра Российской академии наук», выпуск № 2, том 1, 1999 год. С.277-285.
The purpose of the research was elaboration of methods and computer tools to support methodology of engineering theory development for computer knowledge integration. Results of the research are given in this paper. The problem of automated design of subject-oriented modeling workbench is formulated. The architecture of corresponding general-purpose modeling system, which is based on object-oriented knowledge representation, is briefly considered.
Хорошевский В.Ф. Методы и средства проектирования и реализации мультиагентных систем // Материалы семинара «Проблемы искусственного интеллекта», ИПУ РАН, 1999.
Юсупова Н.И., Сметанина О.Н. О реализации дискретно-событийных моделей в среде MATLAB // Управление в сложных системах. – Уфа, 1999. – С. 69-78.
Яризов А.Д. Имитационные модели надежности автоматизированного электропривода // Горный информационно-аналитический бюллетень (научно-технический журнал), № 1, 1999 год. С.87-88. | 1998 год | | Andrad´ottir, S. 1998. Simulation optimization. In Handbook of simulation: principles, methodology, advances, applications, and practice, ed. J. Banks, 307–333. New York: John Wiley and Sons.
Badiru A.B., Sieger D.B. Neural network as a simulation metamodel in economic analysis of risky projects // European Journal of Operational Research. 1998. Vol. 105. P. 130-142.
Bagchi, S., S.J. Buckley, M. Ettl, and G. Lin. 1998. Experience using the IBM supply chain simulator, In Proceedings of the 1998 Winter Simulation Conference, ed. D.J. Medeiros, E.F. Watson, J.S. Carson and M.S. Manivannan, 1387-1394. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers, Inc.
Balci О. Verification, validation and accreditation // Proceedings of the 1998 Winter Simulation Conference, 1998, p.41-48.
Osman Balci Verification, Validation and Accreditation // In Proceedings of the 1998 Winter Simulation Conference (Washington, DC, Dec. 13-16). IEEE, Piscataway, NJ, 1998. pp. 41-48.
Osman Balci, Anders I. Bertelrud, Charles M. Esterbrook, and Richard E. Nance Visual Simulation Environment // In Proceedings of the 1998 Winter Simulation Conference(Washington, DC, Dec. 13-16). IEEE, Piscataway, NJ, 1998. pp. 279-287.
J. Barceló, J. L. Ferrer, and D. García, Microscopic traffic simulation for ATT system analysis. A parallel computing version // University of Montreal Contribution to the 25th Aniversary of CRT, 1998.
Bhatt S. Parallel Simulation Techniques for Large-Scale Networks // IEEE Communications, 36(8), 1998, p.42-47.
Bowden R.O. and J.D. Hall. 1998. Simulation optimization research and development, 1998 Winter Simulation Conference Proceedings, ed. D. J. Medeiros, E.F. Watson, J. S. Carson, S. Manivannan, pp.1693-1698. Piscatawat: Institute of Electrical and Electronics Engineers.
Brunner D., et al., 1998. Toward increased use of simulation in transportation. In Proceedings of the 1998 Winter Simulation Conference, ed., D.J. Medeiros, E. Watson, M. Manivannan, and J. Carson, 1169-1175. Institute of Electrical and Electronics Engineers, Piscataway, New Jersey.
Centeno M., Reyes M. (1998). So you have your model: what to do next. In: Proceedings of the Winter Simulation Conference, pp. 23-29.
Robert C. Crain Simulation with GPSS/H // Proceedings of the 1998 Winter Simulation Conference. Р.235–240.
GPSS/H is a well-known, traditional simulation tool whose user base continues to grow despite the presence of many «new» trends in simulation technology. In GPSS/H, the process-interaction world view has been combined with many advanced features to make one of the most powerful and flexible tools available, capable of handling large and complicated models with ease, yet still providing exceptionally high performance. The following sections provide an overview of GPSS/H and its process-interaction world view, a discussion of model-building interfaces including tradeoffs associated with graphical modeling environments, and a summary of advanced and recently-added GPSS/H features. Finally, the use of special-purpose simulators is discussed, along with features of GPSS/H which make it very well-suited for use as the engine in such simulators.
Davis W.J. Online simulation: need and evolving research requirements [Онлайн моделирование: необходимость и требования к соответствующим научным исследованиям] // in: J.Banks (Ed.), Handbook of Simulation, John Wiley & Sons, New York, 1998, pp. 465–518.
Ferber Jacques and Gutknecht Olivier. A meta-model for the analysis and design of organizations in multi-agent systems. In Third International Conference on Multi-Agent Systems (ICMAS ’98) Proceedings, pages 128–135. IEEE Computer Society, 1998.
Gilmer John B. Jr., and F.J. Sullivan. 1998. Alternative implementations of multitrajectory simulation. In Proceedings of the 1998 Winter Simulation Conference, ed. D.J. Medeiros, F. J. Watson, J. S. Carson, and M. S. Manivannan, pp.865-872. Institute of Electronics Engineers, Piscataway, New Jersey.
Greenwood A.G., Rees L.P, Siochi E.C. An investigation of the behavior of simulation response surfaces // European Journal of Operational Research. 1998. Vol. 110. P. 282-313.
Hlupic V., Robinson S. Business Process Modeling and Analysis using discrete-event simulation. – Proceedings of the 1998 Winter Simulation Conference, pp. 1363–1369.
Ricki G. Ingalls The value of simulation in modeling supply chains // Proceedings of the 1998 Winter Simulation Conference D.J. Medeiros, E.F. Watson, J.S. Carson and M.S. Manivannan, eds. P.1371-1375.
This paper discusses the reasons why one would want to use simulation as the analysis methodology to evaluate supply chains, its advantages and disadvantages against other analysis methodologies such as optimization, and business scenarios where simulation can find cost reductions that other methodologies would miss.
Gilmer John B. Jr., and F.J. Sullivan. 1998. Alternative implementations of multitrajectory simulation. In Proceedings of the 1998 Winter Simulation Conference, ed. D.J. Medeiros, F. J. Watson, J. S. Carson, and M. S. Manivannan, pp.865-872. Institute of Electronics Engineers, Piscataway, New Jersey.
Ingalls R.G., 1998. The Value of Simulation in Modeling Supply Chains // Proceedings of the 1998 Winter Simulation Conference. ed. D.J. Medeiros, E.F. Watson, J.S. Carson, and M.S. Manivannan, P.861-864. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers.
Ricki G. Ingalls The value of simulation in modeling supply chains // Proceedings of the 1998 Winter Simulation Conference D.J. Medeiros, E.F. Watson, J.S. Carson and M.S. Manivannan, eds. P.1371-1375.
This paper discusses the reasons why one would want to use simulation as the analysis methodology to evaluate supply chains, its advantages and disadvantages against other analysis methodologies such as optimization, and business scenarios where simulation can find cost reductions that other methodologies would miss.
Kilgore R. and K. Healy. 1998. Java, enterprise simulation and the SilkTM simulation language. Proceedings of the 1998 International Conference on Web-Based Modeling & Simulation, ed. P. Fishwick, D. Hill, and R. Smith. SCS, San Diego CA.
Kleijnen J.P.C., B. Bettonvil, and W. van Groenendaal. 1998. Validation of trace-driven simulation models: a novel regression test. Management Science, 44 (6):812-819.
Peter Lorenz. Simulationstechnik 1998: Chancen und Herausforderungen in Mertins, K. und Rabe, M. (ed.): Erfahrungen aus der Zukunft. Proc. der 8. ASIM-Fachtagung Simulation in Produktion und Logistik, Berlin 1998, Seite 1-20 ppt zip.
Peter Lorenz and Thomas J. Schriber, D. Beier and S. Hiller. Web Support for a Simulation and Animation Course in Simulation und Visualisierung '98, Magdeburg März 1998 ppt szcz.
Mosterman P.J., Otter M., Elmqvist H. Modelling Petri Nets as Local Constraint Equations for Hybrid Systems using Modelica // In Proceedings of the Summer Computer Simulation Conference, pages 314–319, 1998.
Narayanan S., P. Malu, A.P.B. Krishna, J. DiPasquale, and T. M. Carrico. 1998. A web-based interactive simulation architecture for airbase logistics systems analysis. International Journal of Industrial Engineering, December, pp.324-335.
Jalal Nikoukaran, Vlatka Hlupic, Ray J. Paul. Criteria For Simulation Software Evaluation // In Proceedings of the 1998 Winter Simulation Conference, D.J. Medeiros, E.F. Watson, J.S. Carson and M.S. Manivannan, eds, p.399-406.
Okol'nishnikov V.V., Rudometov S.V. Development of distributed simulation system // Lecture Notes Comput Sci. Berlin, 1998, Volume 2763, p.524–527.
Paul R.J., V. Hlupic, and G. Giaglis. 1998. Simulation Modeling of Business Processes. In Proceedings of the 3rd UK Academy of Information Systems Conference, Lincoln, UK, June 1998, (Ed.by Avison D. and Edgar-Neville D.), New York: McGraw-Hill.
Pham V.A., Karmouch A. Mobile software agents: an overview //Communications Magazine, IEEE. – 1998. – 1. 36. – N. 7. – P. 26-37.
Pidd M. and Castro, R. Bayer. 1998. Hierarchical Modeling in Discrete Simulation. In Proceedings of the 1998 Winter Simulation Conference Proceedings, ed. D. J Medeiros, E. F. Johnson, J. S. Carson, M. S. Manivannan, pp.383-389. IEEE, Piscataway, NJ.
Pospelov D.A. Multi-agent systems – present and future // Information Technologies and Computing Systems, No.1, 1998. p. 14-21.
Robinson S. (1998). Measuring service quality in the process of delivering a simulation study: the customer’s perspective. In: International Transactions in Operational Research, 5(5), pp.357-374.
Saku Hieta. Supply Chain Simulation with LOGSIM-Simulator // Proceedings of the 1998 Winter Simulation Conference, 1998, p. 323-326.
Shannon R. (1998). Introduction to the Art and Science of Simulation. In: Proceedings of the Winter Simulation Conference, pp.7-14.
Umeda S., Jones A. An integration test-bed system for supply chain management // In Proceedings of the 1998 Winter Simulation Conference, 1998, p. 1377-1385.
Juri Tolujev, D. Beier, P. Lorenz und T. Schriber. Assessment of Simulation Models Based on Trace-File Analysis - A Metamodeling approach // 1998 Winter Simulation Conference Proceedings Vol I p.443-450.
Zolotuchin Y.P., Okol'nishnikov V.V. Simulation of Control System for Water Treatment // Proc. of the Third International Congress of the Federation of European Simulation Societies. — Helsinki, 1998. — V. 3. — p. 526–529.
Городецкий В.И. Многоагентные системы: основные свойства и модели координации поведения. Информационные технологии и вычислительные системы, № 1, с.22-34, 1998.
Городецкий В.И., Грушинский М.С., Хабалов А.В. Многоагентные системы (обзор) // Новости искусственного интеллекта. 1998. № 2. С. 64–116.
Емельянов В.В. Многоагентная модель децентрализованного управления производственными системами // Информационные технологии и вычислительные системы. 1998. № 1. С. 69-77.
Зензин А.С., Окольнишников В.В., Рудометов С.В. Интегрированная с АСУ ТП система распределенного моделирования // Труды Шестого Международного семинара "Распределенная обработка информации". — Новосибирск, 1998. — c. 511–514.
Крыжановский Г.А., Палагин Ю.И. Имитационная модель для определения характеристик пассажиропотоков в интермодальной транспортной сети // Транспорт: наука, техника, управление. 1998. № 6. С.23-27.
Окольнишников В.В., Рудометов С.В. Моделирование систем управления распределенных систем реального времени // Системное моделирование: Сб. науч. тр. / РАН. Сиб. отделение. ИВМиМГ. Т. 4(22). Новосибирск, 1998. c. 141–150.
Окольнишников В.В. Информационно-функциональная модель АСУ ТП // Системное моделирование: Сб. науч. тр. / РАН. Сибирское отделение. ИВМиМГ. Т. 5 (23). Новосибирск, 1998. c. 123–139.
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