Designing multi-agent gameplay

Simple item page
dc.citation.epage28
dc.citation.issue4
dc.citation.spage21
dc.citation.volume7
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.authorTeslyuk, V.
dc.contributor.authorLozunskyi, A.
dc.contributor.authorTeslyuk, T.
dc.contributor.authorDenysyuk, P.
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2020-02-28T08:48:48Z
dc.date.available2020-02-28T08:48:48Z
dc.date.created2018-06-26
dc.date.issued2018-06-26
dc.description.abstractThere is an attention shift within the gaming industry toward the more natural behavior of nonplaying characters. The first part of this paper says about the main concepts of agent and multi-agent systems. The main part of this paper describes the main problem in any multi-agent system, agent communication. Then we write about main concepts of designing multi-agent gameplay and describes own developed MAS game simulator.
dc.format.extent21-28
dc.format.pages8
dc.identifier.citationDesigning multi-agent gameplay / V. Teslyuk, A. Lozunskyi, T. Teslyuk, P. Denysyuk // Econtechmod : scientific journal. — Lviv : Lublin, 2018. — Vol 7. — No 4. — P. 21–28.
dc.identifier.citationenDesigning multi-agent gameplay / V. Teslyuk, A. Lozunskyi, T. Teslyuk, P. Denysyuk // Econtechmod : scientific journal. — Lviv : Lublin, 2018. — Vol 7. — No 4. — P. 21–28.
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/46288
dc.language.isoen
dc.publisherLublin
dc.relation.ispartofEcontechmod : scientific journal, 4 (7), 2018
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dc.relation.references21.Boreiko O. Y., Teslyuk V. M., Zelinskyy A., Berezsky О., 2017. Development of models and means of the server part of the system for passenger traffic registration of public transport in the “smart” city. Eastern-European Journal of Enterprise Technologies. – Vol. 1, Issue 2 (85). – P. 40–47.
dc.relation.references22.Teslyuk V., Beregovskyi V., Denysyuk P., Teslyuk Т., Lozynskyi A., 2018. Development and Implementation of the Technical Accident Prevention Subsystem for the Smart Home System, International Journal of Intelligent Systems and Applications (IJISA), Vol. 10, No. 1, pp. 1–8.
dc.relation.references23.Lytvyn V. 2013. Design of intelligent decision support systems using ontological approach. ECONTECHMOD 2, (1), 31–37.
dc.relation.references24.Kravets P., 2018. Game Method for Coalitions Formation in Multi-Agent Systems, 2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), Lviv, pp. 1–4.
dc.relation.references25.Burov Ye., Pasichnyk V., Katrenko A. 2018. Building an ontology for system analysis. ECONTECHMOD 7, (3), 3–6.
dc.relation.references26. Lytvyn V., Oborska J., Vovnjanka R. 2015. Approach to decision support Intelligent Systems development based on Ontologies. ECONTECHMOD 4, (4), 29–35.
dc.relation.referencesen1. Ayesh A., Stokes J., and Edwards R., 2007. "Fuzzy Individual Model (FIM) for realistic crowd simulation: preliminary results," in Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ '07), pp. 1–5, London, UK.
dc.relation.referencesen2. Boyko N., Kutyuk O. 2016. Basic concepts of evolution in agents calculating and agents system. ECONTECHMOD. An International Quarterly Journal, Vol. 05, No. 2. 69–76.
dc.relation.referencesen3. Wooldridge M., 2009. An Introduction To Multiagent Systems. 468.
dc.relation.referencesen4. Orkin J., 2003. "Applying goal-oriented action planning to games", in AI Game Programming Wisdom 2, Charles River Media, Brookline, Mass, USA.
dc.relation.referencesen5. Pollack M. E. and Horty J. F., 1999. "There's more to life than making plans: plan management in dynamic, multiagent environments", AI Magazine, vol. 20, no. 4, pp. 71–83.
dc.relation.referencesen6. Lees M., Logan B., and Theodoropoulos G. K., 2006. "Agents, games and HLA, "Simulation Modelling Practice and Theory, vol. 14, no. 6, pp. 752–767.
dc.relation.referencesen7. Antunes L. and Takadama K., Eds., 2007. MultiAgent-Based Simulation VII, vol. 4442 of Lecture Notes in Computer Science, Springer, Berlin, Germany.
dc.relation.referencesen8. Silverman B. G., Bharathy G., Johns M., Eidelson R. J., Smith T. E., and Nye B., 2007. "Sociocultural games for training and analysis," IEEE Transactions on Systems, Man and Cybernetics, Part A, vol. 37, no. 6, pp. 1113–1130.
dc.relation.referencesen9. Dastani M., 2008. "2APL: a practical agent programming language", Autonomous Agents and Multi-Agent Systems, vol. 16, no. 3, pp. 214–248.
dc.relation.referencesen10.Bordini R., Hübner J., and Wooldridge M., 2007. Programming Multi-Agent Systems in AgentSpeak Using Jason, John Wiley & Sons, New York, NY, USA.
dc.relation.referencesen11.Kraus S., 1997. "Negotiation and cooperation in multi-agent environments," Artificial Intelligence, vol. 94, no. 1-2, pp. 79–97.
dc.relation.referencesen12. Johnson W. L., 1994. "Agents that learn to explain themselves," in Proceedings of the 12th National Conference on Artificial Intelligence, vol. 2, pp. 1257–1263, Seattle, Wash, USA.
dc.relation.referencesen13.Teslyuk T., Denysyuk P., Kernytskyy A., Teslyuk V., 2015. "Automated Control System for Arduino and Android Based Intelligent Greenhouse" in Proceeding of the KhIth International Conference "Perspective Technologies and Methods in MEMS Design", MEMSTECH’2015, Polyana, Lviv, Ukraine. 2015, P. 7–10.
dc.relation.referencesen14. Chernyshev Y., Chumachenko D., Tovstik A., 2013. Development of intelligent agents for simulation of hepatitis B epidemic process. Proceedings of East West Fuzzy Colloquium (20th Zittau Fuzzy Colloquium, September 25–27, 2013). 161–168.
dc.relation.referencesen15. Chumachenko D., Yakovlev S. 2016. Investigation of agent-based simulation of malicious software. ECONTECHMOD. An International Quarterly Journal, Vol. 05, No. 4. 61–67.
dc.relation.referencesen16.Teslyuk, V. M., Lozynskyi, A. Ya., & Teslyuk, T. V. 2017. Application of Multi-Agent Approach in the Process of Implementation of the Game Program "Bacterial War". Scientific Bulletin of UNFU, 27(6), 178–181. (In Ukrainian)
dc.relation.referencesen17. Nwana H., 1996. "Software agents: An overview", The Knowledge Engineering Review Journal, vol. 11, No. 3, pp. 1– 40.
dc.relation.referencesen18. Carole B., Marie-Pierre G., Sylvain P., Gauthier P. 2003. ADELFE: A Methodology for Adaptive Multi-agent Systems Engineering – Engineering Societies in the Agents World III, Lecture Notes in Computer Science – Volume 2577, pp. 156–169.
dc.relation.referencesen19.Lytvyn V., Dosyn D., Medykovskyj M., Shakhovska N. 2011. Intelligent agent on the basis of adaptive ontologies construction – Signal Modelling Control – Lodz.
dc.relation.referencesen20.Kubera Y. 2010. Everything can be Agent (Extended Abstract) – Proc. of 9th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS 2010), Toronto – Volume 1, pp. 1547–1548.
dc.relation.referencesen21.Boreiko O. Y., Teslyuk V. M., Zelinskyy A., Berezsky O., 2017. Development of models and means of the server part of the system for passenger traffic registration of public transport in the "smart" city. Eastern-European Journal of Enterprise Technologies, Vol. 1, Issue 2 (85), P. 40–47.
dc.relation.referencesen22.Teslyuk V., Beregovskyi V., Denysyuk P., Teslyuk T., Lozynskyi A., 2018. Development and Implementation of the Technical Accident Prevention Subsystem for the Smart Home System, International Journal of Intelligent Systems and Applications (IJISA), Vol. 10, No. 1, pp. 1–8.
dc.relation.referencesen23.Lytvyn V. 2013. Design of intelligent decision support systems using ontological approach. ECONTECHMOD 2, (1), 31–37.
dc.relation.referencesen24.Kravets P., 2018. Game Method for Coalitions Formation in Multi-Agent Systems, 2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT), Lviv, pp. 1–4.
dc.relation.referencesen25.Burov Ye., Pasichnyk V., Katrenko A. 2018. Building an ontology for system analysis. ECONTECHMOD 7, (3), 3–6.
dc.relation.referencesen26. Lytvyn V., Oborska J., Vovnjanka R. 2015. Approach to decision support Intelligent Systems development based on Ontologies. ECONTECHMOD 4, (4), 29–35.
dc.rights.holder© Copyright by Lviv Polytechnic National University 2018
dc.rights.holder© Copyright by Polish Academy of Sciences 2018
dc.rights.holder© Copyright by University of Engineering and Economics in Rzeszów 2018
dc.rights.holder© Copyright by University of Life Sciences in Lublin 2018
dc.subjectMAS
dc.subjectagents
dc.subjectACM
dc.subjectJADE
dc.subjectgamebot
dc.titleDesigning multi-agent gameplay
dc.typeArticle

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