Journal articles: 'Intelligent agent based on ontological approach'

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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.

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The solution of the applied task of constructing intelligent agents (IA) of action planning is proposed. The mathematical support of functioning of intellectual agents of action planning on the basis of ontologies is developed, which made it possible to formalize the behavior of such agents in the state space. The use of ontologies allows narrowing the search space for path from the initial state to the target state, rejecting irrelevant alternatives. A method of narrowing the search area for optimal IA activity is proposed. To assess the reaction of the environment on the behaviour of the IA a method based on reinforcement learning is developed. The two-criterion optimization problem of dynamic programming is formulated, which is solved by one of the iterative methods – by principal component analysis or by the multiple criterion method, depending on the possibility to numerically estimate the target functions of this optimization problem. The architecture of the system of planning the actions of specialized intelligence agents is proposed. It consists of an ontology that contains ontology of tasks, the solution of which is aimed at the functioning of a specialized IA, and a domain ontology, which sets out alternatives to solving individual subtasks. On the example of the problem of corrosion protection of the water supply or gas pipeline pipe the efficiency of the proposed approach is investigated. The software for the functioning of intelligent action planning agents based on constructed models, methods and algorithms has been developed, which make it possible to implement the individual components and functional modules of intellectual action planning agents on the basis of ontologies.

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BAILIN, 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.

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This paper describes an approach to ontology negotiation between agents supporting intelligent information management. Ontologies are declarative (data-driven) expressions of an agent's “world”: the objects, operations, facts and rules that constitute the logical space within which an agent performs. Ontology negotiation enables agents to cooperate in performing a task, even if they are based on different ontologies.Our objective is to increase the opportunities for “strange agents” – that is, agents not necessarily developed within the same framework or with the same contextual operating assumptions – to communicate in solving tasks when they encounter each other on the web. In particular, we have focused on information search tasks.We have developed a protocol that allows agents to discover ontology conflicts and then, through incremental interpretation, clarification and explanation, establish a common basis for communicating with each other. We have implemented this protocol in a set of Java classes that can be added to a variety of agents, irrespective of their underlying ontological assumptions. We have demonstrated the use of the protocol, through this implementation, in a test-bed that includes two large scientific archives: NASA's Global Change Master Directory and NOAA's Wind and Sea Index.This paper presents an overview of different methods for resolving ontology mismatches and motivates the Ontology Negotiation Protocol (ONP) as a method that addresses some problems with other approaches. Much remains to be done. The protocol must be tested in larger and less familiar contexts (for example, numerous archives that have not been preselected) and it must be extended to accommodate additional forms of clarification and ontology evolution.

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Lytvyn, 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.

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Massel, 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.

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The article discusses an approach to the construction of digital twins and digital shadows, based on the use of scientific tools for complex energy research in Russia. It is proposed to use, as their basis, mathematical models of energy systems and software systems and databases developed at the Energy Systems Institute of SB RAS, for calculations using these models. For each area of research, an ontological model is developed, over which mathematical and information models are built and integrated, as the basis of digital twins and digital shadows of energy objects. In turn, scientific prototypes of digital twins and digital shadows can be used in complex energy studies. To support this research, a modified architecture of the multi-agent intelligent environment is proposed. It is considered as the basis of the future IT infrastructure that integrates modern information and intelligent technologies and implements a new approach to building digital twins and digital shadows using scientific tools.

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Dupplaw, 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.

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AbstractThe HealthAgents project aims to provide a decision support system for brain tumour diagnosis using a collaborative network of distributed agents. The goal is that through the aggregation of the small data sets available at individual hospitals, much better decision support classifiers can be created and made available to the hospitals taking part. In this paper, we describe the technicalities of the HealthAgents framework, in particular how the interoperability of the various agents is managed using semantic web technologies. On the broad scale the architecture is based around distributed data-mart agents that provide ontological access to hospitals’ underlying data that has been anonymized and processed from proprietary formats into a canonical format. Classifier producers have agents that gather the global data from participating hospitals such that classifiers can be created and deployed as agents. The design on a microscale has each agent built upon a generic-layered framework that provides the common agent program code, allowing rapid development of agents for the system. We believe that our framework provides a well-engineered, agent-based approach to data sharing in a medical context. It can provide a better basis on which to investigate the effectiveness of new classification techniques for brain tumour diagnosis.

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Maffei, 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.

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The increasing threats and opportunities, on the global markets, challenge today the company at several levels. The actual Manufacturing Systems becomes dramatic for the survival and prosperity of the organization. Agility, Sustainability and high rate of Re-usability are the main objectives of an “Evolvable Production System”. Task-specific and process-oriented modules with embedded intelligence, together with distributed control based on agent technology are the cornerstones of an EPS. The realization and management of this kind of systems entail an ontological approach due to their implicit complexity. The reference architecture is the key to canalize the underlying holism of an EPS towards an effective instantiation, which exploits the “Emergent Behavior”, the key driver of the Evolvability of a system. The issues related with the application of this view, such as dynamic link between product and system design as well as the management of a module repository, underline the weakness of present business models. Therefore a model for the emplacement of a System that follows the “Evolvable Paradigm” predicament has been produced in order to enable further studies. One of the conclusions of the work is the need for a more suitable approach to business by the main actors involved in the realization of an EPS. Sharing information and standards about product design and modules realization becomes a compulsory strategic choice.

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Andon, 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.

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We consider the conceptual principles of the Great Ukrainian Encyclopedia development and analyze the main advantages of its portal version – e-VUE. This portal version requires the relevant technological platform with high-level expressiveness and efficiency. Development of e-VUE with complex knowledge structure causes the study of modern Web-technologies and matching their capabilities with the specific requirements of encyclopedia. Therefore we consider in details the project idea and purposes, the specifics of e-VUE information representation (number and volume of articles, content types and sources, relations between content elements and their properties, business processes of article publication, design requirements) and processing (navigation, requests, integration and matching means) to estimate the Wiki-technology feasibility use (namely - opportunities and restrictions of MediaWiki technological platform). Also attention is paid to the means of information security ensuring and semantic-based establishment of content access rights. The results of such analysis show that MediaWiki with semantic plugins can be used as a base for e-VUE portal construction but needs in extension of its functionality based on modern knowledge management tools and formats of their interoperable representation. Now we are oriented on use of ontological analysis and Semantic Web standards (OWL, RDF, SPARQL). In terms of the Semantic Web, e-VUE is a distributed database with heterogeneous types of information objects that can be used both by humans and by external software (e.g. by intelligent agents). The main principles of e-VUE knowledge base organization are grounded on Wiki categories and semantic properties of Semantic MediaWiki that are used for formal representation of the e-VUE typical information objects (TIO). Such approach allows to express TIO relations, properties and characteristics that can be used by logical inference and semantic retrieval to improve the navigation between portal elements and integration of data from various Wiki pages.

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Volchenkov, 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.

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Purpose – The purpose of this paper is to investige the general computing mechanisms of solving the system information problems of interpretation and its fundamental limitations, due to physical basis Turing machine. Design/methodology/approach – For creation of theoretical base of methodology, the authors make an attempt to demonstrate the possibility of a constructive building of Turing machine as meta-ontological basis of computing. In the course of this building the role of the operator of atomic implicative transition if-then as generic operator of recognition/decision-making is shown. In order to substantiate the thesis about the determinative role of implicative transition in the interpretation mechanisms, the authors will carry out the comparative analysis methods of interpretation in systems of pattern recognition and expert systems interpretation type. Findings – The carried-out analysis allows to formulate a common mechanism underlying the classical methods of solving problems of interpretation and to concretize the fundamental limitations of these methods, caused computational basis of their actualization. The cybernetic interpretation of this mechanism is offered. Originality/value – The fundamental limitations of classical methods of solving problems of interpretation sets the boundaries of the cybernetic approach and allows to outline a way out beyond it. In this context, the authors put forward knowledge-based mechanism of perceptual modeling of dynamics of system visual environment – autonomous agent.

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Samigulina, 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.

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The article discusses current issues related to the development of an information optical Smart technology for distance learning of Honeywell's distributed Experion PKS control system for the oil and gas industry. About 70 % of industrial accidents are caused by the human factor through the fault of operators. The work of operators consists in monitoring and managing high-tech proc-esses through mnemonic scheme circuits and is characterized by increased tension in the visual apparatus, as well as general fatigue and loss of concentration. The innovative personalized tech-nology of distance learning takes into account the peculiarities of students' vision by adjusting the color supply of educational material and the dynamic presentation of information depending on the person's psychotype and is based on the use of cognitive, optical, multi-agent technologies, as well as ontological and immuno-network approaches. The development of cognitive mnemonic schemes is carried out taking into account these features, which allows one to reduce the load on the visual apparatus and increase the effectiveness of teaching practical skills when working with mnemonic schemes. An artificial immune systems approach is used to predict and evaluate the learning process and promptly adjust the knowledge obtaining process. A modified algorithm for the functioning of a distance learning system based on the use of optimization algorithms for arti-ficial intelligence and an algorithm for immuno-network modeling has been developed. General principles of creating mimic diagrams and existing Honeywell mnemonic schemes are considered. An example of the implementation of the proposed remote technology is presented and results of the simulation of cognitive mnemonic scheme for various categories of students with special needs are discussed.

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Frolov, 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.

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Introduction. The article is devoted to the problem of the emergence and formation of personality in the process of ontogeny and phylogenies. Methods. This issue is still open. The answers to it fit within the framework of three main research paradigms: the evolutionary (labor) theory, the creationist (human created by God) and the theory of extraterrestrial origin of human (intelligent life is brought to our planet from outer space). Supporters of each approach advocate arguments in favor of their theories. Discussion and Results. The authors’ point of view is that a person is a system of spiritual, psychological and socio-spiritual properties of a person, which, genetically based on natural inclinations and properties, is individually formed and manifested in different types of activity and social relations. Ontologically the personality of the individual is formed in a modern society, approximately by 14 years. At the same time, he or she goes through the processes of socialization and acculturation. Phylogenetically, the personality arose in a primitive society. The distinctive features of the individual and the primitive and civilized societies are considered. It is stated that the alienation of the individual elements are preserved in modern society. Conclusion. Thus, summing up, we can state that the person first emerged in primitive society with the emergence and formation of social relations and ties, the primary carrier and agent of which was the personality of the primitive communal human.

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Saeidlou, Salman, Mozafar Saadat, Ebrahim Amini Sharifi, Guiovanni D. Jules, and Tao Peng. "Agent-based distributed manufacturing scheduling: an ontological approach." Cogent Engineering 6, no. 1 (January 1, 2019): 1565630. http://dx.doi.org/10.1080/23311916.2019.1565630.

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Namestnikov, Aleksei M., Gleb Iu Guskov, and Aleksei A. Filippov. "INTELLIGENT ANALYSIS OF SOFTWARE SYSTEMS PROJECTS BASED ON THE ONTOLOGICAL APPROACH." Автоматизация Процессов Управления 59, no. 1 (2020): 75–85. http://dx.doi.org/10.35752/1991-2927-2020-1-5-75-85.

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Lavendelis, Egons, and Janis Grundspenkis. "Design of Multi-Agent Based Intelligent Tutoring Systems." Scientific Journal of Riga Technical University. Computer Sciences 38, no. 38 (January 1, 2009): 48–59. http://dx.doi.org/10.2478/v10143-009-0004-z.

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Design of Multi-Agent Based Intelligent Tutoring SystemsResearch of two fields, namely agent oriented software engineering and intelligent tutoring systems, have to be taken into consideration, during the design of multi-agent based intelligent tutoring systems (ITS). Thus there is a need for specific approaches for agent based ITS design, which take into consideration main ideas from both fields. In this paper we propose a top down design approach for multi-agent based ITSs. The proposed design approach consists of the two main stages: external design and internal design of agents. During the external design phase the behaviour of agents and interactions among them are designed. The following steps are done: task modelling and task allocation to agents, use case map creation, agent interaction design, ontology creation and holon design. During the external design phase agents and holons are defined according to the holonic multi-agent architecture for ITS development. During the internal design stage the internal structure of agents is specified. The internal structure of each agent is represented in the specific diagram, called internal view of the agent, consisting of agent's actions and interactions among them, rules for incoming message and perception processing, incoming and outgoing messages, and beliefs of the agent. The proposed approach is intended to be a part of the full life cycle methodology for multi-agent based ITS development. The approach is developed using the same concepts as JADE agent platform and is suitable for agent code generation from the design diagrams.

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Wenzu, Li. "Ontological approach to automatic generation of questions in intelligent learning systems." Doklady BGUIR 18, no. 5 (September 2, 2020): 44–52. http://dx.doi.org/10.35596/1729-7648-2020-18-5-44-52.

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This article proposes an approach for designing a general subsystem of automatic generation of questions in intelligent learning systems. The designed subsystem allows various types of questions to be automatically generated based on information from the knowledge bases and save the generated questions in the subsystem knowledge base for future use. The main part of the subsystem is the automatic generation module of questions, which allows one to generate questions of various types based on existing question generation strategies in combination with the structural characteristics of knowledge bases built using OSTIS technology. In this article, a variety of strategies for automatically generated questions are proposed, the use of which allows various types of questions to be automatically generated, such as multiple-choice questions, fill-in-the-blank questions, questions of definition interpretation and etc. The most important part of the subsystem is the knowledge base, which stores the ontology of questions, including the question instances themselves. In this article, the knowledge base is constructed based on OSTIS technical standards. The type classification of automatically generated questions was developed, as well as the subject area for storing generated questions and the corresponding ontology described in the knowledge base of the subsystem. The generated questions are stored in the subsystem knowledge base in the form of SC-code, which is the OSTIS technology standard. When testing users, these automatically generated questions are converted to the corresponding natural language form through the natural language interface. Compared with the existing approaches, the approach proposed in this article has certain advantages, and the subsystem designed using this approach can be used in various OSTISbased systems driven by OSTIS technology.

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Longwei, Q. "Ontological approach to Chinese text processing." Doklady BGUIR 18, no. 6 (October 1, 2020): 49–56. http://dx.doi.org/10.35596/1729-7648-2020-18-6-49-56.

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To implement natural language user interface and an intelligent answer to questions, the knowledgebased semantic model for Chinese language processing is proposed. The article gives careful consideration to the existing methods and various knowledge bases for natural language processing. The analysis of these methods has led to the conclusion that in natural language processing, the knowledge base is the most fundamental and crucial part. The knowledge base makes it possible to ensure processing of a natural language based on initially described knowledge and to explain the processing operations. By virtue of the analysis of various methods for constructing knowledge bases about the English and Chinese languages, an ontological approach to the Chinese language processing was proposed. The Chinese language processing model has two main aspects: the design of knowledge base about the Chinese language and the development of ontology-based knowledge processing machine. The proposed approach is aimed at developing a semantic model of knowledge on the Chinese language. As a stage in the implementation of the approach, I designed the ontology of the Chinese language that can be applied for further processing of the language. This paper considers the preliminary version of the ontology and the principle of building a knowledge base about the Chinese language. There are no uniform standards and evaluation system for designing an ontology. Expansion, refinement and evaluation of the ontology require further research.

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Lamaakchaoui, Chaimae, Abdellah Azmani, and Mustapha EL Jarroudi. "A Multi Intelligent Agent-based Approach for Optimizing Commercial Recommendations." International Journal of Computer Applications 108, no. 18 (December 18, 2014): 28–32. http://dx.doi.org/10.5120/19013-0537.

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Oliveira, Pedro, Zita Vale, Hugo Morais, Tiago Pinto, and Isabel Praça. "A multi-agent based approach for intelligent smart grid management." IFAC Proceedings Volumes 45, no. 21 (2012): 109–14. http://dx.doi.org/10.3182/20120902-4-fr-2032.00021.

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Oluwole, Nicholas, Noah Oghenefego, and Obeten Obi. "Intelligent based Multi-Agent Approach for University Timetable Scheduling System." International Journal of Computer Applications 182, no. 1 (July 16, 2018): 10–21. http://dx.doi.org/10.5120/ijca2018917432.

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Barenji, Ali Vatankhah, W. M. Wang, Zhi Li, and David A. Guerra-Zubiaga. "Intelligent E-commerce logistics platform using hybrid agent based approach." Transportation Research Part E: Logistics and Transportation Review 126 (June 2019): 15–31. http://dx.doi.org/10.1016/j.tre.2019.04.002.

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Guo, Qinglin, and Ming Zhang. "A novel approach for multi-agent-based Intelligent Manufacturing System." Information Sciences 179, no. 18 (August 2009): 3079–90. http://dx.doi.org/10.1016/j.ins.2009.05.009.

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Lavendelis, Egons, and Janis Grundspenkis. "Requirements analysis of Multi-Agent Based Intelligent Tutoring Systems." Scientific Journal of Riga Technical University. Computer Sciences 38, no. 38 (January 1, 2009): 37–47. http://dx.doi.org/10.2478/v10143-009-0003-0.

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Requirements analysis of Multi-Agent Based Intelligent Tutoring SystemsThe agent oriented software engineering research proposes general assumptions for agent oriented software development, while intelligent tutoring system (ITS) research proposes specific ITS architecture and other specific knowledge for ITS development. Both of these views should be taken into consideration while developing multi-agent based ITSs. Thus there is a need for specific approaches for all phases of agent based ITS development which take into consideration main ideas from both agent oriented software engineering and ITS research. In this paper we propose a requirements analysis approach for multi-agent based ITSs. A case study of a simple ITS is included, too. Requirements analysis in the proposed approach consist of two main steps, namely goal modelling and use case modelling. During the goal modelling the main goals of the system are identified and a goal hierarchy for the system is created. During the use case modelling use cases needed to achieve each lower level goal and their descriptions are created. The proposed approach of the requirements analysis is intended to be a part of the full life cycle methodology for multi-agent based ITS development. The developed use case model (especially use case scenarios) is used during the agent interaction design and task definition. Goal hierarchy during the design phase is mainly used for checking, if the results of design achieve all system's goals.

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ANASTASSAKIS, G., and T. PANAYIOTOPOULOS. "A SYSTEM FOR LOGIC-BASED INTELLIGENT VIRTUAL AGENTS." International Journal on Artificial Intelligence Tools 13, no. 03 (September 2004): 593–621. http://dx.doi.org/10.1142/s0218213004001703.

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Combination of logic-based artificial intelligence with virtual reality in intelligent agent systems is an approach not extensively sought after to date. It is our belief that significant gain is to be expected if the technical challenges involved are overcome. In this paper, we describe the mVlTAL intelligent agent system, which is our latest effort towards this direction. The system is a contemporary intelligent agent system with applications in numerous areas, including intelligent virtual environments and formal artificial intelligence research. The system focuses largely on logic-based approaches, which are present in almost every aspect of it, including modeling, knowledge representation, definition of agent behaviors and inter-agent communication. In addition, virtual manifestation of the world and agents is also an inherent characteristic of the system. The system, even if still in a development and evaluation stage, has already been employed in experimental and educational applications, demonstrating the potential benefits of such an approach.

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Sun, Yong Yong. "Decision Approach of Multi-Agent Intelligent Decision Support System Based on Blackboard." Advanced Materials Research 562-564 (August 2012): 1638–41. http://dx.doi.org/10.4028/www.scientific.net/amr.562-564.1638.

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Multi-Agent Intelligent Decision Support System based on blackboard is designed that uses of blackboard system and Agent, it describes the framework and gives the detail about the each Agent. At the same time, decision algorithm based on rough set of system is provided, and its application is described. The system can help to cooperate in Multi-Agent about complicated works.

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Boubacar, Ibrahim, Marina Borisovna Budko, Mikhail Yurievich Budko, and Alexei Valerievich Guirik. "Ontological support of information security risk management." Proceedings of the Institute for System Programming of the RAS 33, no. 5 (2021): 41–64. http://dx.doi.org/10.15514/ispras-2021-33(5)-3.

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As a result of the work focused on improving the efficiency of the information security system through the development of an ontological model and an approach based on it to ensure information security (IS) risk management, a flexible result was obtained, which is designed to ensure an increase in the efficiency of the information security system by reducing the time spent on managerial decision-making. At the end of the work, a comparative analysis of existing approaches and techniques to information security risk management and the described approach was carried out. Based on the developed ontology and approach, highly intelligent information security risk management systems and the information security system can be created on its basis.

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Zouaoui, Samia, and Khaled Rezeg. "Ontological Approach Based on Multi-Agent System for Indexing and Filtering Arabic Documents." Journal of Digital Information Management 17, no. 3 (June 1, 2019): 145. http://dx.doi.org/10.6025/jdim/2019/17/3/145-163.

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O'BRIEN, P. D., and M. E. WIEGAND. "Agent based process management: applying intelligent agents to workflow." Knowledge Engineering Review 13, no. 2 (July 1998): 161–74. http://dx.doi.org/10.1017/s0269888998002070.

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This paper presents an Agent-based Process Management System (APMS) architecture that combines recent developments in autonomous agent technology and distributed computing platforms. It argues that a service-oriented view is required in order to meet the requirements of open distributed enterprises, now and in the future. This approach embraces and fully supports the decentralisation of responsibility and local autonomy, within and across enterprises. The paper begins by summarising existing approaches to workflow. It describes the APMS approach which extends workflow with the abilities to anticipate process requirements, to resource processes dynamically, and to adapt to exceptions. An important feature of APMS is the absence of a centralised business process representation. Finally, the paper describes an implementation of the APMS architecture, and discusses the engineering issues related to realising such a system within a large organisation.

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Iribarne, Luis, Nicolás Padilla, Rosa Ayala, José A. Asensio, and Javier Criado. "OntoTrader: An Ontological Web Trading Agent Approach for Environmental Information Retrieval." Scientific World Journal 2014 (2014): 1–25. http://dx.doi.org/10.1155/2014/560296.

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ModernWeb-based Information Systems(WIS) are becoming increasingly necessary to provide support for users who are in different places with different types of information, by facilitating their access to the information, decision making, workgroups, and so forth. Design of these systems requires the use of standardized methods and techniques that enable a common vocabulary to be defined to represent the underlying knowledge. Thus, mediation elements such astradersenrich the interoperability of web components in open distributed systems. These traders must operate with otherthird-partytraders and/or agents in the system, which must also use a common vocabulary for communication between them. This paper presents theOntoTraderarchitecture, anOntological Web Tradingagent based on the OMG ODP trading standard. It also presents the ontology needed by some system agents to communicate with the trading agent and the behavioral framework for the SOLERESOntoTraderagent, anEnvironmental Management Information System(EMIS). This framework implements a “Query-Searching/Recovering-Response” information retrieval model using a trading service, SPARQL notation, and the JADE platform. The paper also presents reflection, delegation and, federation mediation models and describes formalization, an experimental testing environment in three scenarios, and a tool which allows our proposal to be evaluated and validated.

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Jahanbin, Afshin, Ahmad Ghafarian, Seyed Amin Hosseeini Seno, and Samane Nikookar. "A Computer Forensics Approach Based on Autonomous Intelligent Multi-Agent System." International Journal of Database Theory and Application 6, no. 5 (October 31, 2013): 1–12. http://dx.doi.org/10.14257/ijdta.2013.6.5.01.

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Hongbing, Li, Meng Bo, and Chen Shifu. "An Agent-Based Approach for Constructing Software Systems of Virtual Simulation." International Journal of Virtual Reality 4, no. 4 (January 1, 2000): 97–109. http://dx.doi.org/10.20870/ijvr.2000.4.4.2659.

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The design and construction of virtual reality environments involve technologies such as computer graphics, image processing, pattern recognition, intelligent interface, artificial intelligence, voice recognition, network, parallel processing, and high-performance computing. Some researchers insist that object-oriented and agent-oriented technologies are fundamental for virtual reality system design. This paper applies artificial intelligence to the design of virtual reality systems. Agents are constructed by using object-oriented methods and a set of underlying computing models, such as neural networks, genetic algorithms, expert systems, and plan managers. Some object-oriented frameworks of these computing models are presented to illustrate this approach. The example of a spaceship game will illustrate interactions among environments, agents, and underlying computing models. The approach and reusable class library presented herein can be applied to various virtual reality environment simulations and intelligent applications.

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Smirnov, Alexander, and Tatiana Levashova. "Context-Aware Approach to Intelligent Decision Support Based on User Digital Traces." Informatics and Automation 19, no. 5 (October 13, 2020): 915–41. http://dx.doi.org/10.15622/ia.2020.19.5.1.

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A context-aware approach to intelligent decision support based on user digital traces is proposed. The concept of human digital life with regard to intelligent decision support is discussed. The aims of addressing this concept in diverse domains are clarified and approaches to modelling human digital life are identified. In the proposed approach, digital traces serve as a source of information to reveal user preferences and decision-making behaviour. Perspectives on decision support based on user digital traces are developed. The research outcomes are the specification of requirements to intelligent decision support based on user digital traces, the principles, conceptual framework and information model of such support. The principles form the basis for the conceptual framework of intelligent decision support based on user digital traces. Components of the conceptual model are user profiles; a user digital life model that structures information containing in the digital traces; group patterns that describe preferences and decision-making behavior shared by a user group; and a decision maker ontology. The information model defines information flows between the framework’s components, identifies tasks that require solutions to implement the framework and offers techniques for this. The novelties of the research are applying the concept of human digital life to intelligent decision support and context-dependent ontological inference of the type of user as a decision-maker, which determines a group of users sharing their preferences and behaviours with the active user, to predict a recommended decision. The paper contributes to the areas of modelling human digital life and intelligent decision support.

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Telnov, Yury F., Andrey V. Danilov, and Vasily A. Kazakov. "SOFTWARE IMPLEMENTATION OF INFORMATION-EDUCATIONAL SPACE BASED ON MULTI-AGENT TECHNOLOGY AND ONTOLOGICAL APPROACH." Open Education, no. 6(113 (January 1, 2015): 73–82. http://dx.doi.org/10.21686/1818-4243-2015-6(113-73-82.

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Kamara-Esteban, Oihane, Gorka Azkune, Ander Pijoan, Cruz E. Borges, Ainhoa Alonso-Vicario, and Diego López-de-Ipiña. "MASSHA: An agent-based approach for human activity simulation in intelligent environments." Pervasive and Mobile Computing 40 (September 2017): 279–300. http://dx.doi.org/10.1016/j.pmcj.2017.07.007.

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Xue, D., J. Sun, and D. H. Norrie. "An intelligent optimal production scheduling approach using constraint-based search and agent-based collaboration." Computers in Industry 46, no. 2 (September 2001): 209–31. http://dx.doi.org/10.1016/s0166-3615(01)00118-x.

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Han, Wei, Bing Zhang, Qianyi Wang, Jun Luo, Weizhi Ran, and Yang Xu. "A Multi-Agent Based Intelligent Training System for Unmanned Surface Vehicles." Applied Sciences 9, no. 6 (March 15, 2019): 1089. http://dx.doi.org/10.3390/app9061089.

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The modeling and design of multi-agent systems is imperative for applications in the evolving intelligence of unmanned systems. In this paper, we propose a multi-agent system design that is used to build a system for training a team of unmanned surface vehicles (USVs) where no historical data concerning the behavior is available. In this approach, agents are built as the physical controller of each USV and their cooperative decisions used for the USVs’ group coordination. To make our multi-agent system intelligently coordinate USVs, we built a multi-agent-based learning system. First, an agent-based data collection platform is deployed to gather competition data from agents’ observation for on-line learning tasks. Second, we design a genetic-based fuzzy rule training algorithm that is capable of optimizing agents’ coordination decisions in an accumulated manner. The simulation results of this study demonstrate that our proposed training approach is feasible and able to converge to a stable action selection policy towards efficient multi-USVs’ cooperative decision making.

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VIROLI, MIRKO, ALESSANDRO RICCI, and ANDREA OMICINI. "Operating instructions for intelligent agent coordination." Knowledge Engineering Review 21, no. 1 (March 2006): 49–69. http://dx.doi.org/10.1017/s0269888906000774.

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In contrast to standard approaches based on agent communication languages (ACLs), environment-based coordination is emerging as an interesting alternative for structuring interactions in multiagent systems (MASs). In particular, the notion of coordination artifacts has been proposed as an engineering methodology to build runtime abstractions effectively providing collaborating agents with specifically designed coordination tasks.In this paper, we study the semantics for the interaction of agents with coordination artifacts playing the same role of ACL semantics, that is, supporting semantic interoperability between agents developed by different parties through the connection between rationality and interaction. Our approach is rooted on the notion of operating instructions of coordination artifacts, which—as with a manual for a human exploiting a device—describe the interaction protocols the agent can follow as well as the mentalistic semantics of each single interaction. By tackling some of the most relevant issues raised in the context of ACL semantics, our framework allows intelligent, BDI-like agents to carry on complex interactions through coordination artifacts in a rational way.

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Dharmalingam, Jeya Mala, and M. Eswaran. "An Agent Based Intelligent Dynamic Vulnerability Analysis Framework for Critical SQLIA Attacks." International Journal of Intelligent Information Technologies 14, no. 3 (July 2018): 56–82. http://dx.doi.org/10.4018/ijiit.2018070104.

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This article describes how software vulnerability analysis and testing for web applications should detect not only the common attacks but also dynamic vulnerability attacks. These are the attacks such as structured query language injection attacks (SQLIAs) which will extract the most crucial user information from the targeted database. In this proposed approach, an intelligent agent namely intelligent vulnerability analyzer agent (IVA) is proposed in which the external attacks due to dynamic user inputs are identified using a heuristic-guided intelligent graph searching and then a pre and post condition based analysis is performed to identify the dynamic vulnerabilities. Further, the proposed approach is compared with some of the existing works based on the number of false positives and false negatives of attacks detection and confirmed that the proposed work is a novel and effective one in finding out SQLIAs.

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Rogushina, Y. V., and A. Y. Gladun. "Development of domain thesaurus as a set of ontology concepts with use of semantic similarity and elements of combinatorial optimization." PROBLEMS IN PROGRAMMING, no. 2 (June 2021): 003–15. http://dx.doi.org/10.15407/pp2021.02.003.

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We consider use of ontological background knowledge in intelligent information systems and analyze directions of their reduction in compliance with specifics of particular user task. Such reduction is aimed at simplification of knowledge processing without loss of significant information. We propose methods of generation of task thesauri based on domain ontology that contain such subset of ontological concepts and relations that can be used in task solving. Combinatorial optimization is used for minimization of task thesaurus. In this approach, semantic similarity estimates are used for determination of concept significance for user task. Some practical examples of optimized thesauri application for semantic retrieval and competence analysis demonstrate efficiency of proposed approach.

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Li, Xiao Guang, and Zhan Jun Gao. "Realization of an Intelligent E-Commerce Model Based on Mobile Agent." Applied Mechanics and Materials 543-547 (March 2014): 4198–201. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.4198.

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Mobile agent is one of the most prominent technologies believed to be playing an important role in future e-commerce. After presented an intelligent e-commerce model based on OBI ( open buying on the internet) , we developed a modified approach for the security of mobile agents and e-commerce, and designed an intelligent shopping algorithm based on variable time negotiation function. The presented model has been evaluated by simulation experiment. It has been found that the presented model is efficient.

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De la Prieta, Fernando, Sara Rodríguez-González, Pablo Chamoso, Yves Demazeau, and Juan Manuel Corchado. "An Intelligent Approach to Allocating Resources within an Agent-Based Cloud Computing Platform." Applied Sciences 10, no. 12 (June 25, 2020): 4361. http://dx.doi.org/10.3390/app10124361.

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The cloud computing paradigm has the ability to adapt to new technologies and provide consistent cloud services. These features have led to the widespread use of the paradigm, making it necessary for the underlying computer infrastructure to cope with the increased demand and the high number of end users. Platforms often use classical mathematical models for this purpose, helping assign computational resources to the services provided to the final user. Although this kind of model is valid and widespread, it can be refined through intelligent techniques. Therefore, this research presents a novel system consisting of a multi-agent system, which integrates a case-based reasoning system. The resulting system dynamically allocates resources within a cloud computing platform. This approach, which is distributed and scalable, can learn from previous experiences and produce better results in each resource allocation. A model of the system has been implemented and tested on a real cloud platform with successful results.

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Benalla, M., B. Achchab, and H. Hrimech. "Improving Driver Assistance in Intelligent Transportation Systems: An Agent-Based Evidential Reasoning Approach." Journal of Advanced Transportation 2020 (January 4, 2020): 1–14. http://dx.doi.org/10.1155/2020/4607858.

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Providing accurate real-time traffic information is an inherent problem for intelligent transportation systems (ITS). In order to improve the knowledge base of advanced driver assistance systems (ADAS), ITS are strongly concerned with data fusion techniques of all kinds of sensors deployed over the traffic network. Driver assistance is devoid of a comprehensive evidential reasoning system on contextual information, more specifically when a combination involves inside and outside sensory information of the driving environment. In this paper, we propose a novel agent-based evidential reasoning system using contextual information. Based on a series of information handling techniques, specifically, the belief functions theory and heuristic inference operations to achieve a consensus about daily driving activity in automatically inferring. That is quite different from other existing proposals, as it deals jointly with the driving behavior and the driving environment conditions. A case study including various scenarios of experiments is introduced to estimate behavioral information based on synthetic data for prediction, prescription, and policy analysis. Our experiments show promising, thought-provoking results encouraging further research.

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Malik, Haroon, and Wael Zatar. "Agent based routing approach to support structural health monitoring-informed, intelligent transportation system." Journal of Ambient Intelligence and Humanized Computing 11, no. 3 (February 28, 2019): 1031–43. http://dx.doi.org/10.1007/s12652-019-01202-8.

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Areekkara, Sujil, Rajesh Kumar, and Ramesh C. Bansal. "An Intelligent Multi Agent based Approach for Autonomous Energy Management in a Microgrid." Electric Power Components and Systems 49, no. 1-2 (January 20, 2021): 18–31. http://dx.doi.org/10.1080/15325008.2021.1937390.

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Nagoev, Z., I. Pshenokova, O. Nagoeva, and S. Kankulov. "Situational analysis model in an intelligent system based on multi-agent neurocognitive architectures." Journal of Physics: Conference Series 2131, no. 2 (December 1, 2021): 022103. http://dx.doi.org/10.1088/1742-6596/2131/2/022103.

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Abstract An approach to the development of intelligent decision-making and control systems based on the hypothesis of the organization of neural activity of the brain in the process of performing cognitive functions is proposed. This approach, based on intelligent software agents with a developed cognitive architecture, is able to provide the process of extracting knowledge from an unstructured data flow, generalizing the knowledge and learning gained, to implement effective methods of synthesizing behavior aimed at solving various problems. A multi-agent model of situational analysis based on self-organization of distributed recursive neurocognitive architectures is presented. In particular, the basic principles of situational analysis based on multi-agent neurocognitive architectures are formulated and an algorithm for the preventive synthesis of the behavior of an intelligent agent aimed at avoiding negative situations for itself is developed. The performed computational experiment showed that on the basis of training the neurocognitive architecture by forming new agents-neurons and connections between them, a complex logical function of behavior control (in particular, situational analysis) develops (forms). The results of this study can be used to create intelligent decision-making and control systems for autonomous robots and robotic systems for various purposes.

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Ali, Amen Ben Hadj, Mohamed Khalgui, and Samir Ben Ahmed. "UML-Based Design and Validation of Intelligent Agents-Based Reconfigurable Embedded Control Systems." International Journal of System Dynamics Applications 1, no. 1 (January 2012): 17–38. http://dx.doi.org/10.4018/ijsda.2012010102.

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The paper examines UML-based design and validation of reconfigurable embedded control systems which can have multiple software architectural configurations such that each one is designed by a set of inter-connected software components. To handle dynamic reconfiguration scenarios, the authors define a software agent which interacts with users and applies several forms of reconfiguration at different granularity levels of the system’s architecture. The agent has the ability of monitoring the system’s environment and to apply appropriate and valid reconfiguration scenarios under well-defined constraints. Three architectural levels are defined in order to consider all possible reconfiguration forms of embedded systems. The authors define a set of UML-compliant metamodels to describe the knowledge about the reconfiguration agent, the system architecture, the reconfiguration scenarios, and the reconfiguration events. Validity of reconfigurations scenarios are checked using an UML-based environment which allows evaluating architectural and reconfiguration constraints. The proposed reconfiguration approach is applied to the FESTO production system.

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Dzemydienė, Dalė, and Lina Tankelevičienė. "MULTI‐LAYERED KNOWLEDGE‐BASED ARCHITECTURE OF THE ADAPTABLE DISTANCE LEARNING SYSTEM." Technological and Economic Development of Economy 15, no. 2 (June 30, 2009): 229–44. http://dx.doi.org/10.3846/1392-8619.2009.15.229-244.

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The quality of the distance learning courses is largely influenced by competently prepared educational resources and an effective study support system. One of the possible ways to improve distance learning infrastructure and increase its effectiveness is to extend the architecture of present e‐learning systems by the components for adaptable and sustainable learning. This research work is devoted to developing the service‐oriented distance learning environment adaptable to the user's needs. The proposed adaptable communication environment of distance learning is constructed by integration of new components of communication scenarios generation, adaptable for student's goals, multilayered domain ontology of learning subject and forming intelligent agents’ framework possible. The paper presents the knowledge‐based component architecture of the distance learning system, which enables a better adaptation of learning resources to students. The paper analyses the possibilities of integrating ontology into the e‐learning system. The issues of decomposing ontology into different levels of understanding are discussed in order to adapt to learner's tasks and goals. A conceptual approach is proposed for extending the existing distance learning system architecture by intelligent and deeper knowledge layers. Santrauka Nuotolinių studijų kokybė daugiausia priklauso nuo kompetentingai parengtų mokomųjų priemonių ir veiksmingai veikiančios studijų paramos sistemos. Ieškant priemonių, kaip pagerinti nuotolinių studijų sistemos infrastruktūrą ir padidinti jos darbo efektyvumą, nagrinėjamos galimybės praplėsti tradicinės nuotolinio mokymo sistemos architektūrą komponentėmis, kurios leistų išplėtoti adaptuotą ir darnų mokymosi procesą. Šio tyrimo uždaviniai skirti paslaugoms, skirtoms išvystyti nuotolinio mokymo aplinką. Siekiant sukurti tinkamą kompiuterizuotą bendradarbiavimo aplinką, lanksčiai prisitaikoma prie kintančių vartotojo poreikių studijų procese. Architektūra projektuojama integruojant naujas komponentes bendravimo scenarijams generuoti, daugelio lygių dalykinės srities ontologijai naudoti ir sudarant sąlygas automatizuotam intelektinių agentų bendravimui. Straipsnyje nagrinėjamos galimybės integruoti dalykinės srities ontologiją į tradicinės nuotolinio mokymo sistemos aplinką. Ontologijos detalizavimo pagal studento supratimo lygmenis klausimai nagrinėjami siekiant pateikti koncepcinį tokios nuotolinės adaptuotos sistemos darbo modelį.

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Arogundade, Oluwasefunmi ‘Tale, Olusola Adeniran, Zhi Jin, and Yang Xiaoguang. "Towards Ontological Approach to Security Risk Analysis of Information System." International Journal of Secure Software Engineering 7, no. 3 (July 2016): 1–25. http://dx.doi.org/10.4018/ijsse.2016070101.

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Resource allocation decisions can be enhanced by performing risk assessment during the early development phase. In order to improve and maintain the security of the Information System (IS, hereafter), there is need to build risk analysis model that can dynamically analyze threat data collected during the operational lifetime of the IS. In this paper the authors propose an ontological approach to accomplishing this goal. They present analyzer model and architecture, an agent-based risk analysis system (ARAS) which gathers identified threats events, probe them and correlates those using ontologies. It explores both quantitative and qualitative risk analysis techniques using real events data for probability predictions of threats based on an existing designed security ontology. To validate the feasibility of the approach a case study on e-banking system has been conducted. Simulated IDS output serves as input into the risk analysis system. The authors used JADE to implement the agents, protégé OWL to create the ontology and ORACLE 11g SQL developer for the database. Optimistic results were obtained.

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Sahoo, Sipra, and Bikram Kesari Ratha. "User profiling for web personalization using multi agent and DBSCAN based approach." International Journal of Engineering & Technology 7, no. 2 (June 1, 2018): 849. http://dx.doi.org/10.14419/ijet.v7i2.10224.

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The user experience is enhanced by the Web Personalization System (WPS), which depends on the User's Interests (UI) and references are stored in the User Profile (UP). The profiles should be able to adapt and reproduce the change of user’s behavior for such system. Existing web page Recommendation Systems (RS) are still limited by several problems, some of which are the problem of recommending web pages to a new user whose browsing history is not available (Cold Start), sparse data structures (Sparsity), and the problem of over-specialization. In this paper, the UI has been tracked and Dynamic User Profiles have been maintained by introducing a method called Density-Based Spa-tial Clustering of Applications with Noise-User Profiling (DBSCAN-UP). The mapping web pages, construct the ontological concepts, which represent the UI, and the interests of users are learned by the reference ontology, which are used to map the visited web pages. The process of storage, management and adaptation of UI is facilitated by multi-agent system. The different user browsing behaviors learning and adapting capability is built in the proposed system and the efficiency of the DBSCAN-UP model is evaluated by the series of experi-ments. The accuracy of the DBSCAN-UP was achieved up to 5% compared to the existing methods.

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Wang, Hai Rui, Ya Li, Jian Ying Wang, Gui Hong Bi, and Zhi Bin Zhang. "A Design Strategy for Multi-Agent Based Industrial Intelligent Monitor Processing." Applied Mechanics and Materials 224 (November 2012): 184–88. http://dx.doi.org/10.4028/www.scientific.net/amm.224.184.

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In this paper, a design issue related to the multi-agent based industrial intelligent monitor processing system (IIMPS) in distributed substations is proposed. Multiagent-oriented programming might be the new trend of software programming after object-oriented programming. Multagent-oriented approach uses a higher-level point of view to see the problems. We comment on the characteristics of industrial monitor problems and claim that the multi-agent system (MAS) is a good choice to solve problems with these characteristics. The proposed multi-agent based IIMPS is able to analyze industrial all real messages to assist human operators in identifying associated events. A prototype MAS with JAVA-based GUI used to integrate the existing SCADA system and as the user interface for operators to perform will be discussed in the paper.

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Zhu, Yong Bin, and Li Yan. "The Research on Financial Network Simulation Based on Agent." Applied Mechanics and Materials 513-517 (February 2014): 4454–57. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.4454.

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During the research of the abnormal flowing of funds, the real financial transaction data warehouse can't be obtained for various reasons. In order to construct the data warehouse needed by this research platform, the paper provides an implementation approach using intelligent Agent software to act for the real roles to solve the problem. From the analysis of the simulation results, the data provided by the simulation method in this paper is feasible.

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Ostaseviciute, Laura, and Egidijus Kazanavicius. "Agent-Component Design of Smart Appliances." Solid State Phenomena 147-149 (January 2009): 101–6. http://dx.doi.org/10.4028/www.scientific.net/ssp.147-149.101.

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The key objective of the research, presented in this paper, is one of the integral parts of the intelligent home – smart domestic appliances. The principal aim is to propose a method for designing smart mechatronic appliances. Such systems assist the user and augment the quality of living through the integration of services and technology. An agent-component based approach is used to design a generic agent model, which serves as a common infrastructure for constructing smart appliance systems. Finally, an intelligent refrigerator is presented as a perspective of the proposed method application.

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Journal articles on the topic 'Intelligent agent based on ontological approach'

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