PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2010 | 15 | nr 88 Informatyka w zarządzaniu | 115--128
Tytuł artykułu

Zastosowanie obiektów abstrakcyjnych w wieloagentowej symulacji komputerowej

Warianty tytułu
Application of Abstract Objects in Multi-Agent Computer Simulation
Języki publikacji
PL
Abstrakty
W artykule przybliżono ideę obiektów abstrakcyjnych w kontekście możliwości zastosowania jej w symulacji wieloagentowej do odwzorowania zachowań agentów zależnych od czynników losowych. Ponadto przedstawiono wieloagentowy model ruchu drogowego, w którym w opisie agentów użyto obiekty abstrakcyjne. Wyniki przeprowadzonych eksperymentów uzasadniają przydatność prezentowanej koncepcji.(abstrakt oryginalny)
EN
The paper introduces the idea of abstract objects in the context of its possible applications in multi-agent simulation for reproducing agents' behaviour dependent on random factors. In addition, a multi-agent model of traffic with the implementation of abstract objects idea is presented. The results of simulation of conducted experiments justify the usefulness of the shown concept.(original abstract)
Twórcy
  • Uniwersytet Szczeciński
  • Zachodniopomorski Uniwersytet Technologiczny w Szczecinie
Bibliografia
  • Amigoni F., Schiaffonati V., Multiagent-based simulation in biology a critical analysis, "Studies in Computational Intelligence" 2007, no. 64, s. 179-191.
  • Avila A. i in., A complete simulator architecture for inter-vehicle communication based intersection warning systems, [w:] Proceedings 8th Int. IEEE Conf. Intelligent Transportation Systems, Vienna 2005.
  • Barber K.S. i in., Sensible agent problem-solving simulation for manufacturing environments, [w:] Proceedings of the Artficial Inelligence and Manufacturing Workshop 1998, http//www.aaai.org Papers/SIGM AN/1998/SIGM AN98-001 .pdf.
  • Beuck, U., Rieser M., Nagel K., Multi-agent simulation used in a real world scenario on environmentally-oriented road pricing schemes, [w:] 53rd Annual North American Meetings of the Regional Science Association International, Toronto, November 2006, svn.vsp.tu-berlin.de/repos/public-svn/publications/vspwp/2006/06-1II18Nov06PaperNARSC2006_Beuck_etal.pdf.
  • Bieniasz S., Techniki symulacji agentowej w zastosowaniu do badania procesów cieplnych, praca doktorska, Wydział Elektrotechniki, Automatyki, Informatyki i Elektroniki, AGH, Kraków 2006. winntbg.bg.agh.edu.pl/rozprawy/9711/full9711 .pdf.
  • Bonabeau E., Agent-based modeling, Methods and techniques for simulating human systems, [w:] Proceedings of the National Academy of Sciences of the United States of America, vol. 99 Suppl. 3 (14 May 2002), s. 7280-7287, http://www.pnas.Org/content/99/suppl.3/7280.full.
  • Bonsall P., Liu R., Young W., Modelling safety-related driving behaviour-impact of parameter values, "Transportation Research Part A: Policy and Practice" 2005, vol. 39(5), s. 425-444.
  • Borawski M., Pseudorozklad jako uogólnienie pojęcia rozkładu, "Przegląd Statystyczny" 2008. vol. 55, no. 3, s. 71-85.
  • Bourjot Ch., Chevrier V, Multi-agent simulation in biology, Application to social spiders case, [w:] Agent based simulation, Passau 2001, http//www.loria.fr/~bourjot/ABS-PASSAU01 .pdf. Casti J. Would-be worlds, how simulation is changing the world of science, Wiley, New York 1997.
  • Cicortas A., Somosi N., Multi-agent system model for urban traffic simulation, [w:] 2nd Romanian-Hungarian Joint Symposium on Applied Computational Intelligence, Timisoara, Romania, May 12-14, 2005, bmf.hu/conferences/saci2005/Cico.pdf.
  • Davidsson P., Multi agent based simulation. Beyond social simulation, [w:] S. Moss, P. Davidsson (eds.), Multi Agent Based Simulation, LNCS series, vol. 1979, Springer Verlag, Berlin-Heidelberg 2000, www.ide.hk-r.se/~pdv/Papers/MABS2000.pdf.
  • Davila J., Tucci K., Towards a logic-based, multi-agent simulation theory, [w:] International Conference on Modeling, Simulation and Neural Networks MSNN'2000, IEEE, chcs.ing.ula.ve/INVES-TIGACION/ARTICULOS/JACINTO/MSNN-JDKTOO.pdf.
  • Davila J., Uzcategui M., Tucci K., A Multi-agent theory for simulation, [w:] G. Tonella (ed.), Proceedings of the Fifth International Conference on Modelling, Simulation and Optimization (MSO2005). The International Association of Science and Technology for Development (IASTED), Anaheim 2005, s. 285-290, www.geog.unt.edu/biocomplexity/d/davila-etal.pdf.
  • Dimou Ch. i in., A multi-agent simulation framework for spiders traversing the SemanticWeb, [w:] IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006), Hong Kong, December 18-22, 2006, http://issel.ee.auth.gr/ktree/Documcnts/Root%20Foldcr/ISSEL/Publications/ WI2006_BioSpider.pdf.
  • Dresner K., Stone, P., Multiagent traffic management. An improved intersection control mechanism, [w:] The Forth International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 05), s. 471-477, Utrecht 2005.
  • Drogoul A., Ferber J., Multi-agent simulation as a tool for modeling societies, application to social differentiation in ant colonies. Lecture Notes In Computer Science 1992, vol. 830.
  • Selected papers from the 4th European Workshop on on Modelling Autonomous Agents in a Multi-Agent World, Artificial Social Systems Springer-Verlag 1992, s. 3-23.
  • Eckel B., Thinking in JAV, edycja polska, Helion, Gliwice 2006.
  • Eichler S. i in.. Simulation of car-to-car messaging, analyzing the impact on road traffic [w:] Proc. of the 13th IEEE Int. Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, 27-29 Sept. 2005, s. 507-510.
  • El Hadouajl S., Espiel S., Drogoul A., A multi-agent road traffic simulation model, validation of the insertion case. "Simulation Series" 2004, vol. 36; part 4, s. 20-25 , http://www.scs.org/scsarchive/ gctDoc.cfm?id=2710.
  • Epstein J.M., Axtell R., Growing artificial societies. Social Science from the bottom up. MIT Press, Cambridge 1996.
  • Federici M.L., Redaelli S., Vizzari G., Models, abstractions and phases in multi-agent based simulation, [w:] F. De Paoli i in. (cds.), Proceedings of the 7th WOA 2006 Workshop from Objects to Agents, Catania 2006, ftp.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-204/P15.pdf.
  • Ferber J., Multi-Agent Systems. An Introduction to Distributed Artificial Intelligence, Addison-Wesley 1999.
  • Fernandes P., Nunes U., Multi-agent architecture for simulation of traffic with communications, [w:] IC1NCO 2008 - International Conference on Informatics in Control, Automation & Robotics, Funchal, May 2008, http,//www.isr.uc.pt/~pedro/08_ICINCO2008 Pedro.pdf.
  • Findeisen W. (red.), Analiza systemowa podstawy i metodologia, PWN, Warszawa 1985.
  • Fishman G.S., Symulacja komputerowa. Pojęcia i metody, PWE, Warszawa 1981.
  • Frank A.U., Bittner S., Raubal M., Spatial and cognitive simulation with multi-agent systems, [w:] D.R. Montello (ed.). Spatial Information Theory - Foundations of Geographic Information Science, Springer Verlag, Berlin - Heidelberg 2001, s. 124-139, ftp://ftp.geoinfo.tuwicn.ac.at/frank/ af-cositO 1 -CognizingAgcnts.pdf.
  • Gilbert N., Troitzsch K. G., Simulation for the Social Scientist, McGraw-Hill International, 2005.
  • Goncalves A.S., Rodrigues A., Correia L., Multi-agent simulation within geographic information systems, [w:] H. Coelho, B. Espinasse (eds.), Proceedings oj the 5th Workshop on agent-Based Simulation. SCS-The Society for Modeling and Simulation International, 2004, www.dha.lnec.pt/nti/ pdf/AGoncalvesetal_ABS2004.pdf.
  • Gordon G., Symulacja systemów, WNT, Warszawa 1974.
  • Hales D., Rouchier J., Edmonds B., Model to-Model Analysis, "Journal of Artificial Societies and Social Simulation" 2003, no. 6(4).
  • Halle S., Laumonier J., Chaib-draa B., A decentralized approach to collaborative driving coordination, [w:] IEEE Intelligent Transportation Systems Conference, Washington, D.C. 2004.
  • Ijeoma S.I., Andersson J., Wall A., Correctness criteria for models' validation-A philosophical perspective. Department of Computer Science and Computer Engineering (IDT), Malardalen University 2001, www.mrtc.mdh.se/publications/0731 .pdf.
  • Kesting A., Treiber M., Hclbing D., Agents for traffic simulation, arXiv,0805.0300v1 [physics.soc-ph] [ 2008, http://arxiv.org/abs/0805.0300.
  • Komar Z., Wolek C, Inżynieria ruchu drogowego. Wybrane zagadnienia. Politechnika Wrocławska, Wrocław 1994.
  • Łatuszyńska M., Symulacja komputerowa dynamiki systemów, PWSZ, Gorzów Wielkopolski 2008.
  • Li Z., Wang F., Miao Q., He R, An urban traffic control system based on mobile multi-agent, [w:] Proc. of IEEE Int. Conference on Vehicular Electronics and Safety, Shanghai 2006.
  • Macal Ch.M., North M.J., Tutorial on agent-based modeling and simulation, Part 2. How to model with agent, [w:] L. F. Perrone i in. (eds.), Proceedings of the 2006 Winter Simulation Conference, WSC'2006, Monterey, California 2006, s. 73-83, www.informs-sim.org/wsc06papers/008.pdf.
  • Martis M.S., Validation of simulation based models: A theoretical outlook, "The Electronic Journal of Business Research Methods" 2006, vol. 4 issue 1, s. 39-46, www.ejbrm.com.
  • North M.J., Macal Ch.M., Managing Business Complexity. Discovering Strategic Solutions with Agent-Based Modeling and Simulation, Oxford University Press, New York 2007.
  • Pan X. i in., A Multi-agent based framework for the simulation of human and social behaviors during emergency evacuations, "AI & Society" 2007, vol. 22, no. 2, Springer, London 2007, s. 113-132, http://www.springerlink.com/content/p260115756537528/.
  • Siebers P.O. i in., An agent-based simulation ofin-store customer experiences, [w:] Proceedings of the 2008, Operational Research Society Simulation Workshop, s. 25-41, 1-2 April 2008, Worcestershire, UK, http://eprints.nottingham.ac.uk/993/.
  • Siebers P.O. i in., A multi-agent simulation of retail management practices, [w:] Proceedings of the Summer Computer Simulation Conference, July 15-18, 2007, San Diego, USA, s. 959-966.
  • Siebers P.O., Aickelin U., Introduction to multi-agent simulation, [w:] F. Adam, P. Humphreys (eds.), Encyclopedia of Decision Making and Decision Support Technologies, Idea Group Publishing, Pennsylvania 2008, s. 554-564, http://www.cs.nott.ac.uk/~pos/docs/pos-DMDST-ABS-2008.pdf.
  • Situngkir H., Surya Y., Agent-based model construction in financial economic system, 2004, http:// cogprints.org/3 767/.
  • Solter N.A., Kleper S.J.: C++ zaawansowane programowanie, Helion, Gliwice 2006.
  • Tornquist, J., Davidsson, P., A multi-agent system approach to train delay handling, [w:] Proceedings from Agent Technologies in Logistics workshop. The 15th European Conference on Artificial Intelligence, Lyon, France 2002, www.ipd.bth.se/jtr/TornquistDavidsson_2002.pdf.
  • Vogel A., Nagel K., Multi-agent based simulation on individual traffic in Berlin, [w:] Proceedings of the Int. Conference on Computers in Urban Planning and Urban Management (CUPUM'05), London 2005.
  • Wooldridge M.J., An introduction to multi-agent systems, Wiley, New York 2002.
  • Wooldridge M., Intelligent agents, [w:] G. Weiss (ed.), Multiagent Systems - A Modern Approach to Distributed Artificial Intelligence, MIT Press, Cambridge 1999.
  • Zeigler B.P., Teoria modelowania i symulacji, PWE, Warszawa 1984.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171307581

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.