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Статті в журналах з теми "Intelligent agent based on ontological approach"
Lytvyn, V. V., R. V. Vovnjanka, and D. G. Dosyn. "Specialized intelligent agents actions planning methods based on ontological approach." Information extraction and processing 2017, no. 45 (December 26, 2017): 96–103. http://dx.doi.org/10.15407/vidbir2017.45.096.
Повний текст джерелаBAILIN, SIDNEY C., and WALT TRUSZKOWSKI. "Ontology negotiation between intelligent information agents." Knowledge Engineering Review 17, no. 1 (March 2002): 7–19. http://dx.doi.org/10.1017/s0269888902000292.
Повний текст джерелаLytvyn, Vasyl, Victoria Vysotska, Petro Pukach, Miroslava Vovk, and Dmytro Ugryn. "Method of functioning of intelligent agents, designed to solve action planning problems based on ontological approach." Eastern-European Journal of Enterprise Technologies 3, no. 2 (87) (June 30, 2017): 11–17. http://dx.doi.org/10.15587/1729-4061.2017.103630.
Повний текст джерелаMassel, Lyudmila V., and Alexey G. Massel. "Development Of Digital Twins And Digital Shadows Of Energy Objects And Systems Using Scientific Tools For Energy Research." E3S Web of Conferences 209 (2020): 02019. http://dx.doi.org/10.1051/e3sconf/202020902019.
Повний текст джерелаDupplaw, David, Madalina Croitoru, Srinandan Dasmahapatra, Alex Gibb, Horacio González-Vélez, Miguel Lurgi, Bo Hu, Paul Lewis, and Andrew Peet. "A knowledge-rich distributed decision support framework: a case study for brain tumour diagnosis." Knowledge Engineering Review 26, no. 3 (July 28, 2011): 247–60. http://dx.doi.org/10.1017/s0269888911000105.
Повний текст джерелаMaffei, Antonio, and Mauro Onori. "Evolvable Production Systems: Environment for New Business Models." Key Engineering Materials 467-469 (February 2011): 1592–97. http://dx.doi.org/10.4028/www.scientific.net/kem.467-469.1592.
Повний текст джерелаAndon, P. I., J. V. Rogushina, I. Yu Grishanova, V. A. Reznichenko, A. M. Kyridon, A. V. Aristova, and A. O. Tishchenko. "Experience of the semantic technologies use for intelligent Web encyclopedia creation (on example of the Great Ukrainian Encyclopedia portal)." PROBLEMS IN PROGRAMMING, no. 2-3 (September 2020): 246–58. http://dx.doi.org/10.15407/pp2020.02-03.246.
Повний текст джерелаVolchenkov, Evgeny. "Interpretation problems: general mechanism and fundamental limitations of classical methods." Kybernetes 44, no. 5 (May 5, 2015): 692–704. http://dx.doi.org/10.1108/k-02-2014-0038.
Повний текст джерелаSamigulina, G. A., and T. I. Samigulin. "Development of a cognitive mnemonic scheme for an optical Smart-technology of remote learning of the Experions PKS distributed control system on the basis of Artificial Immune Systems." Computer Optics 45, no. 2 (April 2021): 286–95. http://dx.doi.org/10.18287/2412-6179-co-736.
Повний текст джерелаFrolov, Dmitriy E., and Alla N. Somkina. "PERSONALITY AND ITS FORMATION IN ONTOGENESIS AND PHYLOGENESIS." Humanitarian: actual problems of the humanities and education, no. 3 (September 30, 2018): 341–51. http://dx.doi.org/10.15507/2078-9823.043.018.201803.341-351.
Повний текст джерелаДисертації з теми "Intelligent agent based on ontological approach"
Павлова, Ольга Олександрівна, та Olga Pavlova. "Агентно-орієнтована інформаційна технологія оцінювання початкових етапів життєвого циклу програмного забезпечення на основі онтологічного підходу партнерів". Дисертація, Хмельницький національний університет, 2020. http://elar.khnu.km.ua/jspui/handle/123456789/9851.
Повний текст джерелаThe dissertation solves the current scientific and applied problem of automating the assessment of the initial stages of the software life cycle by developing agentoriented information technology based on an ontological approach, which provides: automation of time-consuming, routine and error-prone task analysis requirements and its almost instantaneous implementation; a hint where the requirements specification needs rework (the user can view the missing attributes and see the areas of the specification that need extra attention, as well as which requirements need to be reworked); providing training for new specification developers, systems engineers, and project managers (using this AOIT helps them to see the mistakes they may make and helps them to recognize these mistakes in the work of others); assistance in developing high quality requirements; assistance in correcting requirements errors where they occur – in the early stages of the software life cycle - before they become more expensive to correct; providing a tool for selecting better specifications of software requirements; free internet access at any time without any registration.
Mora, Randall P., and Jerry L. Hill. "Service-Based Approach for Intelligent Agent Frameworks." International Foundation for Telemetering, 2011. http://hdl.handle.net/10150/595661.
Повний текст джерелаThis paper describes a service-based Intelligent Agent (IA) approach for machine learning and data mining of distributed heterogeneous data streams. We focus on an open architecture framework that enables the programmer/analyst to build an IA suite for mining, examining and evaluating heterogeneous data for semantic representations, while iteratively building the probabilistic model in real-time to improve predictability. The Framework facilitates model development and evaluation while delivering the capability to tune machine learning algorithms and models to deliver increasingly favorable scores prior to production deployment. The IA Framework focuses on open standard interoperability, simplifying integration into existing environments.
Wang, Xiaohuan, and 王晓欢. "Knowledge sharing and utilization of the ontological agent-based virtual enterprises." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B46593056.
Повний текст джерелаJules, Désiré Guiovanni. "An agent-based approach to intelligent manufacturing network configuration." Thesis, University of Birmingham, 2016. http://etheses.bham.ac.uk//id/eprint/6681/.
Повний текст джерелаMangina, Eleni E. "Agent-based approach for intelligent data interpretation within monitoring applications." Thesis, University of Strathclyde, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.249047.
Повний текст джерелаFang, Fang, and 方芳. "A life-cycle-oriented negotiation framework for supply chain management: an agent-based approach withhybrid learning." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2007. http://hub.hku.hk/bib/B39362437.
Повний текст джерелаFang, Fang. "A life-cycle-oriented negotiation framework for supply chain management : an agent-based approach with hybrid learning /." View the Table of Contents & Abstract, 2007. http://sunzi.lib.hku.hk/hkuto/record/B38289659.
Повний текст джерелаHill, Jerry L., and Randall P. Mora. "An Autonomous Machine Learning Approach for Global Terrorist Recognition." International Foundation for Telemetering, 2012. http://hdl.handle.net/10150/581675.
Повний текст джерелаA major intelligence challenge we face in today's national security environment is the threat of terrorist attack against our national assets, especially our citizens. This paper addresses global reconnaissance which incorporates an autonomous Intelligent Agent/Data Fusion solution for recognizing potential risk of terrorist attack through identifying and reporting imminent persona-oriented terrorist threats based on data reduction/compression of a large volume of low latency data possibly from hundreds, or even thousands of data points.
Rossetti, Rosaldo Jose Fernandes. "A BDI-based approach for the assessment of driver's decision-making in commuter scenarios." reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2002. http://hdl.handle.net/10183/5595.
Повний текст джерелаThe rapid growth of urban areas has a significant impact on traffic and transportation systems. New management policies and planning strategies are clearly necessary to cope with the more than ever limited capacity of existing road networks. The concept of Intelligent Transportation System (ITS) arises in this scenario; rather than attempting to increase road capacity by means of physical modifications to the infrastructure, the premise of ITS relies on the use of advanced communication and computer technologies to handle today’s traffic and transportation facilities. Influencing users’ behaviour patterns is a challenge that has stimulated much research in the ITS field, where human factors start gaining great importance to modelling, simulating, and assessing such an innovative approach. This work is aimed at using Multi-agent Systems (MAS) to represent the traffic and transportation systems in the light of the new performance measures brought about by ITS technologies. Agent features have good potentialities to represent those components of a system that are geographically and functionally distributed, such as most components in traffic and transportation. A BDI (beliefs, desires, and intentions) architecture is presented as an alternative to traditional models used to represent the driver behaviour within microscopic simulation allowing for an explicit representation of users’ mental states. Basic concepts of ITS and MAS are presented, as well as some application examples related to the subject. This has motivated the extension of an existing microscopic simulation framework to incorporate MAS features to enhance the representation of drivers. This way demand is generated from a population of agents as the result of their decisions on route and departure time, on a daily basis. The extended simulation model that now supports the interaction of BDI driver agents was effectively implemented, and different experiments were performed to test this approach in commuter scenarios. MAS provides a process-driven approach that fosters the easy construction of modular, robust, and scalable models, characteristics that lack in former result-driven approaches. Its abstraction premises allow for a closer association between the model and its practical implementation. Uncertainty and variability are addressed in a straightforward manner, as an easier representation of humanlike behaviours within the driver structure is provided by cognitive architectures, such as the BDI approach used in this work. This way MAS extends microscopic simulation of traffic to better address the complexity inherent in ITS technologies.
Almejalli, Khaled A. "Intelligent Real-Time Decision Support Systems for Road Traffic Management. Multi-agent based Fuzzy Neural Networks with a GA learning approach in managing control actions of road traffic centres." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4264.
Повний текст джерелаКниги з теми "Intelligent agent based on ontological approach"
An agent-based approach for coordinated multi-provider service provisioning. Boston: Birkhauser Verlag, 2002.
Знайти повний текст джерелаAn Agent-Based Approach for Coordinated Multi-Provider Service Provisioning. Springer My Copy UK, 2002.
Знайти повний текст джерелаMatchmaking in Electronic Markets: An Agent-Based Approach towards Matchmaking in Electronic Negotiations (Lecture Notes in Computer Science). Springer, 2004.
Знайти повний текст джерелаЧастини книг з теми "Intelligent agent based on ontological approach"
Drogoul, Alexis. "Keynote Speech: A Review of the Ontological Status, Computational Foundations and Methodological Processes of Agent-Based Modeling and Simulation Approaches: Open Challenges and Research Perspectives." In Intelligent Agents and Multi-Agent Systems, 1. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89674-6_1.
Повний текст джерелаLi, Li, and Yun Yang. "An Agent-Based Ontological Approach for Information Reorganisation." In Lecture Notes in Computer Science, 1096–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11941439_129.
Повний текст джерелаShen, Zhiqi, Robert Gay, and Yuan Miao. "Agent-Based elearning Systems: A Goal-Based Approach." In Intelligent Knowledge-Based Systems, 924–39. Boston, MA: Springer US, 2005. http://dx.doi.org/10.1007/978-1-4020-7829-3_27.
Повний текст джерелаByrski, Aleksander, and Marek Kisiel-Dorohinicki. "Agent-Based Approach to Continuous Optimisation." In Advances in Intelligent Systems and Computing, 487–94. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02309-0_53.
Повний текст джерелаHao, Zhiyong, Bin Liu, Junfeng Wu, and Jinhao Yao. "Exploiting Ontological Reasoning in Argumentation Based Multi-agent Collaborative Classification." In Intelligent Information and Database Systems, 23–33. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-15702-3_3.
Повний текст джерелаYang, Zining, Kyungkook Kang, and Jacek Kugler. "An Agent-Based Approach on Conditional Deterrence." In Advances in Intelligent Systems and Computing, 333–42. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-60591-3_30.
Повний текст джерелаFischer, Klaus. "An Agent-Based Approach to Holonic Manufacturing Systems." In Intelligent Systems for Manufacturing, 3–12. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-0-387-35390-6_1.
Повний текст джерелаCzarnowski, Ireneusz, and Piotr Jedrzejowicz. "An Agent-Based Approach to ANN Training." In Research and Development in Intelligent Systems XXII, 191–201. London: Springer London, 2006. http://dx.doi.org/10.1007/978-1-84628-226-3_15.
Повний текст джерелаLypak, O. Halyna, Vasyl Lytvyn, Olga Lozynska, Roman Vovnyanka, Yurii Bolyubash, Antonii Rzheuskyi, and Dmytro Dosyn. "Formation of Efficient Pipeline Operation Procedures Based on Ontological Approach." In Advances in Intelligent Systems and Computing, 571–81. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01069-0_41.
Повний текст джерелаSivakumar, N., and K. Vivekanandan. "Testing an Agent Based E-Novel System – Role Based Approach." In Advances in Intelligent Systems and Computing, 165–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-32063-7_19.
Повний текст джерелаТези доповідей конференцій з теми "Intelligent agent based on ontological approach"
Acampora, Giovanni, Chang-Shing Lee, and Mei-Hui Wang. "FML-Based Ontological Agent for Healthcare Application with Diabetes." In 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology. IEEE, 2009. http://dx.doi.org/10.1109/wi-iat.2009.314.
Повний текст джерелаTaylor, Julia M. "Computational Detection of Humor: A Dream or a Nightmare? The Ontological Semantics Approach." In 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology. IEEE, 2009. http://dx.doi.org/10.1109/wi-iat.2009.318.
Повний текст джерелаAfanasyev, A. N., N. N. Voit, and D. S. Kanev. "Development of intelligent learning system based on the ontological approach." In 2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT). IEEE, 2016. http://dx.doi.org/10.1109/icaict.2016.7991794.
Повний текст джерелаVorozhtsova, Tatiana, and Sergey Skripkin. "Ontological Analysis of Vulnerabilities in the Energy Sector." In Vth International workshop "Critical infrastructures: Contingency management, Intelligent, Agent-based, Cloud computing and Cyber security" (IWCI 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/iwci-18.2018.35.
Повний текст джерелаYus, Roberto, Eduardo Mena, and Enrique Solano-Bes. "Generic Rules for the Discovery of Subsumption Relationships Based on Ontological Contexts." In 2015 IEEE / WIC / ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT). IEEE, 2015. http://dx.doi.org/10.1109/wi-iat.2015.107.
Повний текст джерелаMerdan, Munir, Gottfried Koppensteiner, Alois Zoitl, and Ingo Hegny. "Intelligent-agent based approach for assembly automation." In 2008 IEEE Conference on Soft Computing in Industrial Applications (SMCia). IEEE, 2008. http://dx.doi.org/10.1109/smcia.2008.5045928.
Повний текст джерелаQiu Qin and Junhu Wei. "An agent-based approach for crowd dynamics simulation." In 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icicisys.2010.5658843.
Повний текст джерелаAlves, Jhonatan, and Jerusa Marchi. "Web Service Composition: An Agent-Based Approach." In 2017 Brazilian Conference on Intelligent Systems (BRACIS). IEEE, 2017. http://dx.doi.org/10.1109/bracis.2017.79.
Повний текст джерелаCapkovic, Frantisele. "Agent based approach to modelling ATM network." In 2012 6th IEEE International Conference Intelligent Systems (IS). IEEE, 2012. http://dx.doi.org/10.1109/is.2012.6335198.
Повний текст джерелаIkram, K., Wan Khairunizam, Azri A. Aziz, I. Zunaidi, S. A. Bakar, Z. M. Razlan, Rudzuan Mohd Nor, and W. A. Mustafa. "Ontological Approach on Designing Knowledge Domain Presentation of MOCAP based on Arm Movement." In 2018 International Conference on Intelligent Informatics and Biomedical Sciences (ICIIBMS). IEEE, 2018. http://dx.doi.org/10.1109/iciibms.2018.8549996.
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