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Journal articles on the topic 'Intelligent Agents component'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Brazier, Frances M. T., Catholijn M. Jonker, and Jan Treur. "Principles of component-based design of intelligent agents." Data & Knowledge Engineering 41, no. 1 (2002): 1–27. http://dx.doi.org/10.1016/s0169-023x(01)00058-1.

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Putro, Budi Laksono, Yusep Rosmansyah, and Suhardi Suhardi. "An intelligent agent model for learning group development in the digital learning environment: A systematic literature review." Bulletin of Electrical Engineering and Informatics 9, no. 3 (2020): 1159–66. http://dx.doi.org/10.11591/eei.v9i3.2009.

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Group development is the first and most important step for the success of collaborative problem solving (CPS) learning in the digital learning environment (DLE). A literacy study is needed for studies in the intelligent agent domain for group development of collaborative learning in DLE. This paper is a systematic literature review (SLR) of intelligent agents for group formation from 2001 to 2019. This paper aims to find answers to 4 (four) research questions, namely: 1) What components to develop intelligent agents for group development; 2) What is the intelligent agent model for group develo

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Budi, Laksono Putro, Rosmansyah Yusep, and Suhardi. "An intelligent agent model for learning group development in the digital learning environment: A systematic literature review." Bulletin of Electrical Engineering and Informatics 9, no. 3 (2020): 1159–66. https://doi.org/10.11591/eei.v9i3.2009.

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Group development is the first and most important step for the success of collaborative problem solving (CPS) learning in the digital learning environment (DLE). A literacy study is needed for studies in the intelligent agent domain for group development of collaborative learning in DLE. This paper is a systematic literature review (SLR) of intelligent agents for group formation from 2001 to 2019. This paper aims to find answers to 4 (four) research questions, namely: 1) What components to develop intelligent agents for group development; 2) What is the intelligent agent model for group develo

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Langley, Pat. "An Integrative Framework for Artificial Intelligence Education." Proceedings of the AAAI Conference on Artificial Intelligence 33 (July 17, 2019): 9670–77. http://dx.doi.org/10.1609/aaai.v33i01.33019670.

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Modern introductory courses on AI do not train students to create intelligent systems or provide broad coverage of this complex field. In this paper, we identify problems with common approaches to teaching artificial intelligence and suggest alternative principles that courses should adopt instead. We illustrate these principles in a proposed course that teaches students not only about component methods, such as pattern matching and decision making, but also about their combination into higher-level abilities for reasoning, sequential control, plan generation, and integrated intelligent agents

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Ng, Y. C., K. S. Tey, K. R. Subramanian, S. B. Tor, L. P. Khoo, and S. G. Lee. "An Intelligent, Multi-Agent Environment for Concurrent and Collaborative Configuration of Personal Computers." Concurrent Engineering 10, no. 2 (2002): 143–51. http://dx.doi.org/10.1177/1063293x02010002639.

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Although Concurrent and Collaborative Engineering (CCE) has enjoyed widespread acceptance in industry, many implementation problems remain. With the advent of more powerful artificial intelligence techniques, CCE can be further improved. This paper demonstrates how intelligent software agents may be deployed to facilitate concurrent, collaborative engineering. A system architecture, Java Agent Alive!, is presented as a multi-agent environment. A case study of configuring a personal computer (PC) from its processor, memory and hard disk drive is discussed to highlight the power of software agen

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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 (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

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Kowalczyk, Ryszard, Peter Braun, Ingo Mueller, Wilhelm Rossak, Bogdan Franczyk, and Andreas Speck. "DEPLOYING MOBILE AND INTELLIGENT AGENTS IN INTERCONNECTED E-MARKETPLACES." Journal of Integrated Design and Process Science: Transactions of the SDPS, Official Journal of the Society for Design and Process Science 7, no. 3 (2003): 109–23. http://dx.doi.org/10.3233/jid-2003-7307.

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The business trends to trade more complex goods and services in inter-connected e-marketplaces and to use mobile communication channels drive the requirements for the next generation of e-marketplaces including more advanced trading, mobile access and user support capabilities. This paper presents an attempt to address the above requirements by proposing an intelligent mobile agent-based e-marketplace solution called InterMarket that integrates mobile agents and intelligent decision-making agents in e-marketplaces. InterMarket aims at enabling mobile access and automated trading in inter-conne

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Xing, Luran, Zhengping Li, and Lijun Wang. "P‐4.9: Applications and Future Trends of Agents in the Metaverse." SID Symposium Digest of Technical Papers 56, S1 (2025): 951–54. https://doi.org/10.1002/sdtp.18971.

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The Metaverse is a digital ecosystem that integrates virtual reality (VR), augmented reality (AR) and artificial intelligence (AI). Agents play a key role in it, and can autonomously perceive, make decisions and interact with virtual environments to promote personalized services, social interactions and emotional expression. This article explores the application scenarios of agents in the Metaverse, such as virtual assistants, intelligent NPCs, personalized virtual images, etc., and analyzes their potential in entertainment, education, business and other fields. At the same time, agents face c

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Yick, Liang Thow. "The crucial roles of the artificial information systems web in intelligent human organizations." Human Systems Management 22, no. 3 (2003): 115–24. http://dx.doi.org/10.3233/hsm-2003-22303.

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Human organizations with human beings as interacting agents are complex adaptive systems. Such organizations continuously consume information, make decisions, and evolve with the changing environment. In this respect, all human organizations including businesses must enhance their collective intelligence in order to learn faster and compete more effectively. Thus, adopting an intelligent structure is vital to all businesses as the world moves deeper into the knowledge economy. The paradigmatic shift in thinking, structure, management and operation requires all intelligent human organizations t

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Irina, Ioniță, and Ioniță Liviu. "BRAIN Journal - Intelligent System for Diagnosis of a Three-Phase Separator." BRAIN - Broad Research in Artificial Intelligence and Neuroscience 7, no. 1 (2016): 18–28. https://doi.org/10.5281/zenodo.1044257.

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ABSTRACT Intelligent systems for diagnosis have been used in a variety of domains: financial evaluation, credit scoring problem, identification of software and hardware problems of mechanical and electronic equipment, medical diagnosis, fault detection in gas-oil production plants etc. The goal of diagnosis systems is to classify the observed symptoms as being caused by some diagnosis class while advising systems perform such a classification and offer corrective remedies (recommendations). The current paper discuss the opportunity to combine more intelligent techniques and methodologies (inte

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Tetiana, Hovorushchenko, Pavlova Olga, and Bodnar Mykyta. "DEVELOPMENT OF AN INTELLIGENT AGENT FOR ANALYSIS OF NONFUNCTIONAL CHARACTERISTICS IN SPECIFICATIONS OF SOFTWARE REQUIREMENTS." Eastern-European Journal of Enterprise Technologies 1, no. 2 (97) (2019): 6–17. https://doi.org/10.15587/1729-4061.2019.154074.

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One of the urgent present-day tasks consists in ensuring an automated analysis of specifications of software requirements for sufficiency of information on nonfunctional component characteristics of software quality. Analysis of known intelligent agents based on the ontological approach has shown that these agents do not solve the problem of quantifying sufficiency of information in the specification of software requirements for determining nonfunctional characteristics of software. The objective of this study was to implement the intelligent agent based on the ontological approach for analyzi

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Giotopoulos, K., C. Alexakos, G. Beligiannis, and A. Stefani. "Bringing AI to E-learning." International Journal of Information and Communication Technology Education 6, no. 2 (2010): 24–35. http://dx.doi.org/10.4018/jicte.2010040103.

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This paper presents a newly developed student model agent, which is the basic part of an e-learning environment that incorporates Intelligent Agents and Computational Intelligence Techniques. The e-learning environment consists of three parts, the E-learning platform Front-End, the Student Questioner Reasoning and the Student Model Agent. The basic aim of this contribution is to describe in detail the agent’s architecture and the innovative features it provides to the e-learning environment through its utilization as an autonomous component. Several basic processes and techniques are facilitat

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Liang, Thow Yick. "The inherent structure and dynamic of intelligent human organizations." Human Systems Management 21, no. 1 (2002): 9–19. http://dx.doi.org/10.3233/hsm-2002-21102.

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As humankind ventures deeper into the intelligence era, a totally re-defined mindset is essential to ensure its continuity. With the emerging new environment, human organizations must behave as intelligent beings, in the same manner as biological entities are competing for survival in an ecological system. They must learn, self-organize, adapt, compete and evolve. Thus, human systems can no longer be like machine. Consequently, the structures and characteristics of the industrial era will have to be dismantled. This shift in paradigm requires all human organizations to re-design their structur

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Azadeh, Ali, Mansour Zarrin, Morteza Saberi, and Zohre Ebrahimi. "Improved Trust Prediction in Business Environments by Adaptive Neuro Fuzzy Inference Systems." International Journal of Advanced Research in Engineering 1, no. 1 (2015): 22. http://dx.doi.org/10.24178/ijare.2015.1.1.22.

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Trust prediction turns out to be an important challenge when cooperation among intelligent agents with an impression of trust in their mind, is investigated. In other words, predicting trust values for future time slots help partners to identify the probability of continuing a relationship. Another important case to be considered is the context of trust, i.e. the services and business commitments for which a relationship is defined. Hence, intelligent agents should focus on improving trust to provide a stable and confident context. Modelling of trust between collaborating parties seems to be a

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Bhosale, Ashwini. "INTERACTIVE TOYS (ARTIFICIAL INTELLIGENCE)." EPH - International Journal of Science And Engineering 5, no. 2 (2019): 23–26. http://dx.doi.org/10.53555/eijse.v5i2.94.

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This paper presents the potential use of interactive environments as learning and teaching tools for use in the therapy of children. It is expected that a new generation of children will increasingly use computer technology in a variety of contexts, including interactive robotic toys, digitally enhanced objects. New interactive systems and novel interfaces are also likely to impact on methods of therapy and rehabilitation. In particular, the physical shape and behaviour of socially intelligent agents, that display aspects of human-style social intelligence teach social intelligence to humans w

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Tham, Jason, and Dana Wilder. "Creating intelligent content with lightweight DITA, by Evia, C. (2019). New York, NY: Routledge." Communication Design Quarterly 7, no. 4 (2020): 32–34. http://dx.doi.org/10.1145/3363790.3363793.

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With growing attention to "intelligent content" and "dynamic delivery" in the advent of connected technologies (i.e., Internet of Things, artificial intelligence agents), component content management and structured authoring skills are becoming increasingly required of technical communicators today. To produce reusable intelligent content, technical communicators need a systematic workflow and common authoring standard. Our experience in industry and in educating technical communicators has led us to seek out resources for understanding existing standards and practicing them with technical com

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Anwari, Sabat, Dini Fauziah, and Lita Lidyawati. "Challenges of implementing protection systems in smart grids: a review." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 2 (2025): 715. http://dx.doi.org/10.11591/ijeecs.v37.i2.pp715-729.

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<span>Based on the emergence of increasingly advanced technology, the conventional power grid can be upgraded to a smart grid by adding bidirectional communication, computer algorithms, and equipment that uses artificial intelligence (AI). A smart grid is a revolution in the current electricity network that can control the two-way generation and transmission process by utilizing an intelligent system so that the distribution of electric power can be handled optimally and in real time. The challenge of the smart grid is that there are distributed generators and microgrids that must be con

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Sabat, Anwari Dini Fauziah Lita Lidyawati. "Challenges of implementing protection systems in smart grids: a review." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 2 (2025): 715–29. https://doi.org/10.11591/ijeecs.v37.i2.pp715-729.

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Based on the emergence of increasingly advanced technology, the conventional power grid can be upgraded to a smart grid by adding bidirectional communication, computer algorithms, and equipment that uses artificial intelligence (AI). A smart grid is a revolution in the current electricity network that can control the two-way generation and transmission process by utilizing an intelligent system so that the distribution of electric power can be handled optimally and in real time. The challenge of the smart grid is that there are distributed generators and microgrids that must be controlled in r

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MÜLLER, JÖRG P., and MARKUS PISCHEL. "AN ARCHITECTURE FOR DYNAMICALLY INTERACTING AGENTS." International Journal of Cooperative Information Systems 03, no. 01 (1994): 25–45. http://dx.doi.org/10.1142/s021821579400003x.

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In this paper, we present the layered agent architecture INTERRAP which has been developed to cope with the basic requirements for Cooperative Intelligent Systems (CIS): agents shall behave in a situated, efficient, and goal-directed manner, and they shall be able to interact (i.e. coordinate and collaborate) with other agents. Over the past few years, agent architectures combining reactive with deliberative facilities have become very trendy in DAI. However, most attempts end up at the local planning layer and fail to take into account important mechanisms for interaction and collaboration am

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Liang, T. Y. "Intelligence strategy: The integrated 3C-OK framework of intelligent human organizations." Human Systems Management 23, no. 4 (2004): 203–11. http://dx.doi.org/10.3233/hsm-2004-23402.

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As humanity immerses deeper into the knowledge-intensive era, the mindset for leading, managing and structuring human organizations has to be transformed. Attention has been shifting from tangible to intangible assets. Human thinking systems, the sources where the world's most intense intrinsic intelligence originates become the key focal center. Intelligence and its dynamic are nonlinear. Arising from human consciousness are the two vital mental functions of awareness and mindfulness. These functions determine the quality of the mental state of the interacting agents. In addition, a high leve

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McShane, Marjorie, Sergei Nirenburg, and Stephen Beale. "The Ontological Semantic treatment of multiword expressions." Lingvisticæ Investigationes. International Journal of Linguistics and Language Resources 38, no. 1 (2015): 73–110. http://dx.doi.org/10.1075/li.38.1.03mcs.

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This paper describes, and presents a formal evaluation of, the Ontological Semantic approach to automatically analyzing multiword expressions. It shows how multiword expressions can be lexically recorded and processed in the same way as compositional argument-taking words. It suggests that the component modeling strategies are psychologically plausible and hold promise for supporting the development of sophisticated, language-endowed intelligent agents.

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Hassanvand, Fatemeh, Faria Nassiri-Mofakham, and Katsuhide Fujita. "Automated Negotiation Agents for Modeling Single-Peaked Bidders: An Experimental Comparison." Information 15, no. 8 (2024): 508. http://dx.doi.org/10.3390/info15080508.

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During automated negotiations, intelligent software agents act based on the preferences of their proprietors, interdicting direct preference exposure. The agent can be armed with a component of an opponent’s modeling features to reduce the uncertainty in the negotiation, but how negotiating agents with a single-peaked preference direct our attention has not been considered. Here, we first investigate the proper representation of single-peaked preferences and implementation of single-peaked agents within bidder agents using different instances of general single-peaked functions. We evaluate the

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Kostenko, K. I., and V. Yu Belkin. "User interfaces ontology in the cybernetic model of intelligent sys-tems." Ontology of designing 11, no. 1 (2021): 89–103. http://dx.doi.org/10.18287/2223-9537-2021-11-1-89-103.

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A model of an intelligent system is proposed for implementing the control and professional use of a knowledge collec-tions related to subject area of software interfaces with external users. The basis of formalization is an abstract model of an intelligent system. It is based on coordinated and balanced invariants of the knowledge representation formalism model. Invariants set includes classes of morphisms for abstract knowledge processing modelling with morphisms' do-mains, invariants of the multidimensional architecture of intelligent systems components, which includes inter-component knowle

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Ullah, Asad, Salman Amin, Shaikh Saaqib Haroon, Intisar Ali Sajjad, and Hammad Shaukat. "A Decentralized Multi Agent ANN Based Control Technique for Operation Cost Optimization of Isolated Microgrid Systems." July 2021 40, no. 3 (2021): 512–30. http://dx.doi.org/10.22581/muet1982.2103.06.

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With an ever increasing electrical load demand and the associated fuel price to generate it, researchers are compelled to find alternate, cheap and environment friendly ways for power generation to cater to this techno-economic conundrum. Renewable Energy Sources (RES) are now being integrated in Distributed Generation (DG) based environment as a solution to this problem, hence resulting in Microgrids, with multiple sources and loads demarcating their footprint. Control and management of a diverse generation profile within a single microgrid is arduous and computationally intensive for a singl

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Zhu, Yanliang, Dongchun Ren, Yi Xu, et al. "Simultaneous Past and Current Social Interaction-aware Trajectory Prediction for Multiple Intelligent Agents in Dynamic Scenes." ACM Transactions on Intelligent Systems and Technology 13, no. 1 (2022): 1–16. http://dx.doi.org/10.1145/3466182.

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Trajectory prediction of multiple agents in a crowded scene is an essential component in many applications, including intelligent monitoring, autonomous robotics, and self-driving cars. Accurate agent trajectory prediction remains a significant challenge because of the complex dynamic interactions among the agents and between them and the surrounding scene. To address the challenge, we propose a decoupled attention-based spatial-temporal modeling strategy in the proposed trajectory prediction method. The past and current interactions among agents are dynamically and adaptively summarized by tw

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Rafanelli, Andrea, Stefania Costantini, and Giovanni De Gasperis. "Neural-logic multi-agent system for flood event detection." Intelligenza Artificiale 17, no. 1 (2023): 19–35. http://dx.doi.org/10.3233/ia-230004.

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This paper shows the capabilities offered by an integrated neural-logic multi-agent system (MAS). Our case study encompasses logical agents and a deep learning (DL) component, to devise a system specialised in monitoring flood events for civil protection purposes. More precisely, we describe a prototypical framework consisting of a set of intelligent agents, which perform various tasks and communicate with each other to efficiently generate alerts during flood crisis events. Alerts are only delivered when at least two separates sources agree on an event on the same zone, i.e. aerial images and

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MANVI, S. S., M. M. KODABAGI, and BHANU PRASAD. "AN AGENT BASED POWER AND BANDWIDTH AWARE ROUTING FOR MOBILE AD-HOC NETWORKS." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 12, supp02 (2004): 83–100. http://dx.doi.org/10.1142/s0218488504003053.

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Ad-hoc wireless networks are power constrained as the nodes operate with limited battery energy. To maximize the lifetime of these networks, transactions through each mobile node must be controlled in such a way that the power dissipation rates for the nodes are almost the same. At the same time, providing QoS for ad-hoc networks is a complex task due to the ever-changing network topology. This paper addresses the problem of power and bandwidth aware routing. We propose a power and bandwidth aware source initiated routing model for mobile ad-hoc networks. The model uses both the static and mob

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Li, Qi, Lijie Cui, Qiang Wang, Anxin Guo, and Hu Yuan. "Construction and Application of an Agent-Based Intelligent Operation and Maintenance System for UAV." Drones 9, no. 4 (2025): 309. https://doi.org/10.3390/drones9040309.

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As a crucial component in the evolution of modern warfare toward digitization and intelligentization, unmanned aerial vehicle (UAV) equipment requires a more precise and efficient operation and maintenance (O&M) system. Based on the Department of Defense Architecture Framework (DoDAF) 2.0, the integration of Multi-Agent Systems (MAS) and military simulation technology provides a comprehensive, rational, and feasible theoretical foundation for the construction and validation of an intelligent O&M system for UAV equipment. Firstly, starting from the O&M tasks of UAV equipment in inte

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Molineaux, Matthew, Matthew Klenk, and David Aha. "Goal-Driven Autonomy in a Navy Strategy Simulation." Proceedings of the AAAI Conference on Artificial Intelligence 24, no. 1 (2010): 1548–54. http://dx.doi.org/10.1609/aaai.v24i1.7576.

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Modern complex games and simulations pose many challenges for an intelligent agent, including partial observability, continuous time and effects, hostile opponents, and exogenous events. We present ARTUE (Autonomous Response to Unexpected Events), a domain-independent autonomous agent that dynamically reasons about what goals to pursue in response to unexpected circumstances in these types of environments. ARTUE integrates AI research in planning, environment monitoring, explanation, goal generation, and goal management. To explain our conceptualization of the problem ARTUE addresses, we prese

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Derbinsky, Nate, and John Laird. "A Functional Analysis of Historical Memory Retrieval Bias in the Word Sense Disambiguation Task." Proceedings of the AAAI Conference on Artificial Intelligence 25, no. 1 (2011): 663–68. http://dx.doi.org/10.1609/aaai.v25i1.7869.

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Effective access to knowledge within large declarative memory stores is one challenge in the development and understanding of long-living, generally intelligent agents. We focus on a sub-component of this problem: given a large store of knowledge, how should an agent's task-independent memory mechanism respond to an ambiguous cue, one that pertains to multiple previously encoded memories. A large body of cognitive modeling work suggests that human memory retrievals are biased in part by the recency and frequency of past memory access. In this paper, we evaluate the functional benefit of a set

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Arzo, Sisay Tadesse, Zeinab Akhavan, Mona Esmaeili, Michael Devetsikiotis, and Fabrizio Granelli. "Multi-Agent-Based Traffic Prediction and Traffic Classification for Autonomic Network Management Systems for Future Networks." Future Internet 14, no. 8 (2022): 230. http://dx.doi.org/10.3390/fi14080230.

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Recently, a multi-agent based network automation architecture has been proposed. The architecture is named multi-agent based network automation of the network management system (MANA-NMS). The architectural framework introduced atomized network functions (ANFs). ANFs should be autonomous, atomic, and intelligent agents. Such agents should be implemented as an independent decision element, using machine/deep learning (ML/DL) as an internal cognitive and reasoning part. Using these atomic and intelligent agents as a building block, a MANA-NMS can be composed using the appropriate functions. As a

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Kostenko, Victoria, Olga Bulgakova, and Barbara Stelyuk. "Analysis of approaches for identification the ontological model components of the searching system." Technology audit and production reserves 6, no. 2(62) (2021): 10–14. http://dx.doi.org/10.15587/2706-5448.2021.243587.

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The object of research is the components of an intelligent system for searching information in electronic repositories of unstructured documents, which based on the ontologies of the subject area. One of the most problematic areas is the processing and analysis of information contained in electronic repositories of unstructured documents. There are considered the some possibilities of increasing the efficiency of information processing. In the course of the study, using the method in which ontologies comprise sets of terms presented in it. In addition, the ontological set also includes informa

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Victoria, Kostenko, Bulgakova Olga, and Stelyuk Barbara. "Analysis of approaches for identification the ontological model components of the searching system." Technology Audit and Production Reserves 6, no. 2(62) (2021): 10–14. https://doi.org/10.15587/2706-5448.2021.243587.

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<em>The object of research is the components of an intelligent system for searching information in electronic repositories of unstructured documents, which based on the ontologies of the subject area. One of the most problematic areas is the processing and analysis of information contained in electronic repositories of unstructured documents. There are considered the some possibilities of increasing the efficiency of information processing. In the course of the study, using the method in which ontologies comprise sets of terms presented in it. In addition, the ontological set also includes inf

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Robin, Jacques, Jairson Vitorino, and Armin Wolf. "Constraint Programming Architectures: Review and a New Proposal." JUCS - Journal of Universal Computer Science 13, no. (6) (2007): 701–20. https://doi.org/10.3217/jucs-013-06-0701.

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Most automated reasoning tasks with prac tical applications can be automatically reformulated into a constraint solving task. A constraint programming platform can thus act as a unique, underlying engine to be reused for mu ltiple automated reasoning tasks in intelligent agents and systems. We identify six key requirements for such platform: expressive task modeling language, rapid solving method custom ization and combination, adaptive solving method, user-friendly solution explanation, efficient execution, and seamless integration within larger systems and practical applications. We then pro

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CAO, L. B., and R. W. DAI. "AGENT-ORIENTED METASYNTHETIC ENGINEERING FOR DECISION MAKING." International Journal of Information Technology & Decision Making 02, no. 02 (2003): 197–215. http://dx.doi.org/10.1142/s0219622003000598.

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Decision making plays a more and more important role in present society, especially in dealing with open complex giant systems, such as macroeconomic decision making. A feasible and effective approach for dealing with the increasingly remarkable decision making problems, in particular open complex giant systems, is to construct a Hall for Workshop of Metasynthetic Engineering (HWME), which is essentially an open giant intelligent decision support system in itself. On the other hand, the emergent agent technology is proposed and popularized as a new computing paradigm for building complex softw

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Vavilonskaya, Marina A. "Concept of large cities intellectualization." Urban construction and architecture 12, no. 1 (2022): 11–17. http://dx.doi.org/10.17673/vestnik.2022.01.2.

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The article analyzes the emergence of the idea of smart cities, reveals their difference from smart cities. The intellectualization of a large city is understood as the integration of an innovative component into various fields of activity to improve the quality of life and manage urban infrastructure. The author proposes the concept of the development of the city of Samara as a territorial-spatial innovation system that expresses the diversity of areas of activity of citizens. The following are distinguished as agents of the development of an intelligent city: an administrative hub that pro

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Ahmed Kamal, Manar, Zainab Ismail, Islam Mohammad Shehata, et al. "Telemedicine, E-Health, and Multi-Agent Systems for Chronic Pain Management." Clinics and Practice 13, no. 2 (2023): 470–82. http://dx.doi.org/10.3390/clinpract13020042.

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Telemedicine, telehealth, and E-health all offer significant benefits for pain management and healthcare services by fostering the physician–patient relationship in otherwise challenging circumstances. A critical component of these artificial-intelligence-based health systems is the “agent-based system”, which is rapidly evolving as a means of resolving complicated or straightforward problems. Multi-Agent Systems (MAS) are well-established modeling and problem-solving modalities that model and solve real-world problems. MAS’s core concept is to foster communication and cooperation among agents

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Thiruvalar, V. Naren, Yamini R., Manimekalai Dr.M.A.P., Dr I. Wayan Suryasa, and Sugapriya S. "Enhancing User Experiences in Ubiquitous Soft Computing Environments with Fuzzy Agent Middleware." Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications 14, no. 3 (2023): 25–35. http://dx.doi.org/10.58346/jowua.2023.i3.003.

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In the Ubiquitous Computing Environment (UCE) context, the successful provision of user-required services necessitates the collaboration of various system components, encompassing hardware parts, software components, and network connections. The utilization of UCE has presented some difficulties to customers seeking services in a diverse environment, including excessive Memory Usage (MU) and prolonged Component Construction Time (CCT). To optimize the user's experience, fuzzy agent employs a non-intrusive approach in online deep-rooted learning to get insights into user behavior. Integrating t

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B, Prasanalakshmi, and Kannammal A. "Honey Bee Behavior Inspired Particle Swarm Optimization Technique for Adaptive Resource Allocation." International Journal of Computer Science and Engineering Communications 1, no. 1 (2013): 47–53. https://doi.org/10.5281/zenodo.821759.

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Cloud computing is one of the rapidly improving technologies. It provides scalable resources needed for the applications hosted on it. As cloud-based services become more dynamic, resource provisioning becomes more challenging. The QoS constrained resource allocation problem is considered in this paper, in which customers are willing to host their applications on the provider’s cloud with a given MA requirements for performance such as throughput and response time. Since, the data centers hosting the applications consume huge amounts of energy and cause huge operational costs, solutions that r

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Reshmi, B. M., S. S. Manvi, and Bhagyavati. "An Agent Based Intrusion Detection Model for Mobile Ad Hoc Networks." Mobile Information Systems 2, no. 4 (2006): 169–91. http://dx.doi.org/10.1155/2006/921047.

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Intrusion detection has over the last few years, assumed paramount importance within the broad realm of network security, more so in case of wireless mobile ad hoc networks. The inherently vulnerable characteristics of wireless mobile ad hoc networks make them susceptible to attacks in-spite of some security measures, and it may be too late before any counter action can take effect. As such, there is a need to complement traditional security mechanisms with efficient intrusion detection and response systems. This paper proposes an agent-based model to address the aspect of intrusion detection

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Диденко, С. С. "Application of multi-agent technologies in the context - oriented environment of the smart home component." МОДЕЛИРОВАНИЕ, ОПТИМИЗАЦИЯ И ИНФОРМАЦИОННЫЕ ТЕХНОЛОГИИ 9, no. 2(33) (2021): 6–7. http://dx.doi.org/10.26102/2310-6018/2021.33.2.006.

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Целью данной работы является исследование проблемы создания мультиагентной системы для мониторинга контекстно-зависимой среды для умного дома и выполнения соответствующих действий, основанных на текущем состоянии компонента умного дома. Есть две основные интеллектуальные функции, интегрированные в архитектуру этого проекта. Первая из них обучается и приспосабливается к движениям и действиям жильцов. Вторая функция предсказывает события, происходящие с жильцами. Интеграция системы представлена с использованием имитационного моделирования технологии мониторинга и прогноза в рабочей среде интелле

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Pilato, Giovanni, Agnese Augello, and Salvatore Gaglio. "A Modular System Oriented to the Design of Versatile Knowledge Bases for Chatbots." ISRN Artificial Intelligence 2012 (March 5, 2012): 1–10. http://dx.doi.org/10.5402/2012/363840.

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The paper illustrates a system that implements a framework, which is oriented to the development of a modular knowledge base for a conversational agent. This solution improves the flexibility of intelligent conversational agents in managing conversations. The modularity of the system grants a concurrent and synergic use of different knowledge representation techniques. According to this choice, it is possible to use the most adequate methodology for managing a conversation for a specific domain, taking into account particular features of the dialogue or the user behavior. We illustrate the imp

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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 (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 n

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Zhang, Lan, Yan Wang, Yalong Cao, Fangxu Wang, and Fang Li. "Review: Enhancing the Bioavailability and Stability of Anthocyanins for the Prevention and Treatment of Central Nervous System-Related Diseases." Foods 14, no. 14 (2025): 2420. https://doi.org/10.3390/foods14142420.

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Central nervous system diseases are highly complex in terms of etiology and pathogenesis, making their treatment and interventions for them a major focus and challenge in neuroscience research. Anthocyanins, natural water-soluble pigments widely present in plants, belong to the class of flavonoid compounds. As natural antioxidants, anthocyanins have attracted extensive attention due to their significant functions in scavenging free radicals, antioxidation, anti-inflammation, and anti-apoptosis. The application of anthocyanins in the field of central nervous system injury, particularly in neuro

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Morita, Junya, Tatsuya Yui, Takeru Amaya, Ryuichiro Higashinaka, and Yugo Takeuchi. "Cognitive Architecture toward Common Ground Sharing among Humans and Generative AIs: Trial Modeling on Model-Model Interaction in Tangram Naming Task." Proceedings of the AAAI Symposium Series 2, no. 1 (2024): 349–55. http://dx.doi.org/10.1609/aaaiss.v2i1.27699.

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For generative AIs to be trustworthy, establishing transparent common grounding with humans is essential. As a preparation toward human-model common grounding, this study examines the process of model-model common grounding. In this context, common ground is defined as a cognitive framework shared among agents in communication, enabling the connection of symbols exchanged between agents to the meanings inherent in each agent. This connection is facilitated by a shared cognitive framework among the agents involved. In this research, we focus on the tangram naming task (TNT) as a testbed to exam

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Liu, Chanjuan, Jinmiao Cong, Weihong Yao, and Enqiang Zhu. "Playing Extensive Games with Learning of Opponent’s Cognition." Sensors 24, no. 4 (2024): 1078. http://dx.doi.org/10.3390/s24041078.

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Decision-making is a basic component of agents’ (e.g., intelligent sensors) behaviors, in which one’s cognition plays a crucial role in the process and outcome. Extensive games, a class of interactive decision-making scenarios, have been studied in diverse fields. Recently, a model of extensive games was proposed in which agent cognition of the structure of the underlying game and the quality of the game situations are encoded by artificial neural networks. This model refines the classic model of extensive games, and the corresponding equilibrium concept—cognitive perfect equilibrium (CPE)—dif

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Mahaveerakannan R. "Intelligent Renewable Energy Prediction Using AE-CAM-BiLSTM with Elk Herd Optimizer." Journal of Information Systems Engineering and Management 10, no. 25s (2025): 674–86. https://doi.org/10.52783/jisem.v10i25s.4114.

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Introduction: Given that solar photovoltaic (PV) technology is highly dependent on weather and climate, its recent fast and unexpected growth poses a future test for electricity sector agents accountable for electricity distribution and organisation. In order to make effective policy decisions, maintain grid stability, and manage renewable energy sources sustainably, accurate consumption forecasts are required. Problems with feature extraction, learning from sequential dependencies, and data imbalance are common in conventional forecasting models. Objectives: The goal is to solve these issues.

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Kobat, Mehmet Ali, Ozkan Karaca, Prabal Datta Barua, and Sengul Dogan. "PrismatoidPatNet54: An Accurate ECG Signal Classification Model Using Prismatoid Pattern-Based Learning Architecture." Symmetry 13, no. 10 (2021): 1914. http://dx.doi.org/10.3390/sym13101914.

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Background and objective: Arrhythmia is a widely seen cardiologic ailment worldwide, and is diagnosed using electrocardiogram (ECG) signals. The ECG signals can be translated manually by human experts, but can also be scheduled to be carried out automatically by some agents. To easily diagnose arrhythmia, an intelligent assistant can be used. Machine learning-based automatic arrhythmia detection models have been proposed to create an intelligent assistant. Materials and Methods: In this work, we have used an ECG dataset. This dataset contains 1000 ECG signals with 17 categories. A new hand-mod

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Beklaryan, Armen, Levon Beklaryan, and Andranik Akopov. "Simulation model of an intelligent transportation system for the “smart city” with adaptive control of traffic lights based on fuzzy clustering." Business Informatics 17, no. 3 (2023): 70–86. http://dx.doi.org/10.17323/2587-814x.2023.3.70.86.

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This article presents a new simulation model of an intelligent transportation system (ITS) for the “smart city” with adaptive traffic light control. The proposed transportation model, implemented in the AnyLogic, allows us to study the behavior of interacting agents: vehicles (V) and pedestrians (P) within the framework of a multi-agent ITS of the “Manhattan Lattice” type. The spatial dynamics of agents in such an ITS is described using the systems of finite-difference equations with the variable structure, considering the controlling impact of the “smart traffic lights.” Various methods of tr

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Khaleel Ibrahim, Asaad. "Evolution of the Web: from Web 1.0 to 4.0." Qubahan Academic Journal 1, no. 3 (2021): 20–28. http://dx.doi.org/10.48161/qaj.v1n3a75.

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The internet has become a vital component of the twenty-first century as technology has advanced. The number of new technologies emerging in tandem with the qualities supplied by the Internet is rapidly increasing. The World Wide Web (WWW), which is commonly referred to as the world's largest information environment, is a vital virtual environment in which internet users may trade, read, and publish information using a Web browser. Web 1.0, Web 2.0, and Web 3.0 technologies have all been seen and are still being observed in this review paper. However, there is no clear definition for Web 4.0,

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