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Journal articles on the topic 'Multi-agent systems interoperability'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Miranda, Miguel, Maria Salazar, Filipe Portela, et al. "Multi-agent Systems for HL7 Interoperability Services." Procedia Technology 5 (2012): 725–33. http://dx.doi.org/10.1016/j.protcy.2012.09.080.

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Rosic, Marko, Dean Sumic, and Lada Males. "Semantic Interoperability of Multi-Agent Systems in Autonomous Maritime Domains." Electronics 14, no. 13 (2025): 2630. https://doi.org/10.3390/electronics14132630.

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The maritime domain is experiencing significant transformation, driven by the integration of autonomous technologies. Autonomous ships and smart maritime systems depend on the sophisticated interplay of artificial intelligence, sensor infrastructures, and communication protocols to achieve safe, reliable, and efficient operations. Central to this evolution is the imperative for seamless interoperability among agents operating within heterogeneous maritime environments. Semantic interoperability, which ensures that information is interpreted and exchanged consistently and meaningfully across sy

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Chen, Jing Ya. "An Intelligent Transportation Systems Model Based on Multi-Agent Technology." Applied Mechanics and Materials 484-485 (January 2014): 1101–5. http://dx.doi.org/10.4028/www.scientific.net/amm.484-485.1101.

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Intelligent transportation system based on multi-agent, become a important method, also is to solve the complex traffic problems. In the geography of the property of the agent in the heterogeneous environment cause implementation difficulties such as interoperability requirements, make the agent of unity between software platforms as a potential infrastructure. This paper puts forward a model and the more intelligent transportation system based on SOA. The model includes four major parts: infrastructure, services, agency, and coordination agent. Elements The model of the agent into different l

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El, Abid Amrani Noureddine, Kheir Abra Oum El, Mohamed Youssfi, and Omar Bouattane. "A Novel Deep Learning Approach for Semantic Interoperability Between Heteregeneous Multi-Agent Systems." Engineering, Technology & Applied Science Research 9, no. 4 (2019): 4566–73. https://doi.org/10.5281/zenodo.3370759.

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This article focuses on the issue of semantic interoperability in heterogeneous distributed multi-agent systems. Existing middleware technologies offer programming models that strongly combine agents’ learning models and communication models, which can lead to performance weaknesses when the number of agents is very important. Moreover, existing methods in the field of semantic interoperability solve the problem of understanding messages exchanged between distributed agents with heterogeneous ontologies, using several techniques to combine these ontologies. The first category of these me

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El Abid Amrani, N., O. El Kheir Abra, M. Youssfi, and O. Bouattane. "A Novel Deep Learning Approach for Semantic Interoperability Between Heteregeneous Multi-Agent Systems." Engineering, Technology & Applied Science Research 9, no. 4 (2019): 4566–73. http://dx.doi.org/10.48084/etasr.2841.

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This article focuses on the issue of semantic interoperability in heterogeneous distributed multi-agent systems. Existing middleware technologies offer programming models that strongly combine agents’ learning models and communication models, which can lead to performance weaknesses when the number of agents is very important. Moreover, existing methods in the field of semantic interoperability solve the problem of understanding messages exchanged between distributed agents with heterogeneous ontologies, using several techniques to combine these ontologies. The first category of these methods

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Gabriel, Santos, Pinto Tiago, and Vale Zita. "Ontologies to Enable Interoperability of Multi-Agent Electricity Markets Simulation and Decision Support." Electronics 10, no. 11 (2021): 1270. https://doi.org/10.3390/electronics10111270.

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This paper presents the AiD-EM Ontology, which provides a semantic representation of the concepts required to enable the interoperability between multi-agent-based decision support systems, namely AiD-EM, and the market agents that participate in electricity market simulations. Electricity markets’ constant changes, brought about by the increasing necessity for adequate integration of renewable energy sources, make them complex and dynamic environments with very particular characteristics. Several modeling tools directed at the study and decision support in the scope of the restructured

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Karim, Md Monjurul, Dong Hoang Van, Sangeen Khan, Qiang Qu, and Yaroslav Kholodov. "AI Agents Meet Blockchain: A Survey on Secure and Scalable Collaboration for Multi-Agents." Future Internet 17, no. 2 (2025): 57. https://doi.org/10.3390/fi17020057.

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In recent years, the interplay between AI agents and blockchain has enabled secure and scalable collaboration among multi-agent systems, promoting unprecedented levels of autonomy and interoperability. AI agents play a vital role in facilitating complex decision making and improving operational efficiency in blockchain systems. This collaborative synergy is particularly evident in how multi-agent systems collectively tackle complex tasks to ensure seamless integration within these frameworks. While significant efforts have been made to integrate AI agents and blockchain, most studies overlook

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Kardas, Geylani, Emine Bircan, and Moharram Challenger. "Supporting the platform extensibility for the model-driven development of agent systems by the interoperability between domain-specific modeling languages of multi-agent systems." Computer Science and Information Systems 14, no. 3 (2017): 875–912. http://dx.doi.org/10.2298/csis170113034k.

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The conventional approach currently followed in the development of domain-specific modeling languages (DSMLs) for multi-agent systems (MASs) requires the definition and implementation of new model-to-model and model-totext transformations from scratch in order to make the DSMLs functional for each different agent execution platforms. In this paper, we present an alternative approach which considers the construction of the interoperability between MAS DSMLs for a more efficient way of platform support extension. The feasibility of using this new interoperability approach instead of the conventi

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Santos, Gabriel, Tiago Pinto, and Zita Vale. "Ontologies to Enable Interoperability of Multi-Agent Electricity Markets Simulation and Decision Support." Electronics 10, no. 11 (2021): 1270. http://dx.doi.org/10.3390/electronics10111270.

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This paper presents the AiD-EM Ontology, which provides a semantic representation of the concepts required to enable the interoperability between multi-agent-based decision support systems, namely AiD-EM, and the market agents that participate in electricity market simulations. Electricity markets’ constant changes, brought about by the increasing necessity for adequate integration of renewable energy sources, make them complex and dynamic environments with very particular characteristics. Several modeling tools directed at the study and decision support in the scope of the restructured wholes

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Teixeira, Brígida, Tiago Pinto, Francisco Silva, Gabriel Santos, Isabel Praça, and Zita Vale. "Multi-Agent Decision Support Tool to Enable Interoperability among Heterogeneous Energy Systems." Applied Sciences 8, no. 3 (2018): 328. http://dx.doi.org/10.3390/app8030328.

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KARATAIEV, Oleksandr. "TOWARDS MULTI-AGENT PLATFORM DEVELOPMENT." Computer systems and information technologies, no. 4 (December 26, 2024): 98–106. https://doi.org/10.31891/csit-2024-4-12.

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This paper focuses on the design and evaluation of a FIPA standard compliant multi-agent platform. The relevance of the topic is due to the growing need for flexible, reliable, and efficient software solutions capable of solving complex intelligent problems in distributed environments. The study is dedicated to the problem of developing and evaluating an agent platform using the Kotlin programming language. The main goal of this work is to design and implement a modular, scalable, and adaptive agent platform. The existing frameworks for the development of multi-agent systems are reviewed, the

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Ma, Zheng, Mette Jessen Schultz, Kristoffer Christensen, Magnus Værbak, Yves Demazeau, and Bo Nørregaard Jørgensen. "The Application of Ontologies in Multi-Agent Systems in the Energy Sector: A Scoping Review." Energies 12, no. 16 (2019): 3200. http://dx.doi.org/10.3390/en12163200.

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Multi-agent systems are well-known for their expressiveness to explore interactions and knowledge representation in complex systems. Multi-agent systems have been applied in the energy domain since the 1990s. As more applications of multi-agent systems in the energy domain for advanced functions, the interoperability raises challenge raises to an increasing requirement for data and information exchange between systems. Therefore, the application of ontology in multi-agent systems needs to be emphasized and a systematic approach for the application needs to be developed. This study aims to inve

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Ying, Weir, Jaminda S. Wimalasiri, Pradeep Ray, Subhagata Chattopadhyay, and Concepción S. Wilson. "An Ontology Driven Multi-Agent Approach to Integrated e-Health Systems." International Journal of E-Health and Medical Communications 1, no. 1 (2010): 28–40. http://dx.doi.org/10.4018/jehmc.2010010103.

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One aim of an integrated e-Health system is to improve the quality of healthcare by providing transparent access to patient information. The current health information management environment has numerous systems with varying techniques for representing and managing patient data. The increasing mobility of patients results in patient information being spread across these systems. Presented in this paper is a conceptual architecture for the interoperability of e-Health systems. This architecture uses multiple cooperating software agents that actively access, recognize, and associate the informat

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BIEGUS, L., and C. BRANKI. "InDiA: a framework for workflow interoperability support by means of multi-agent systems." Engineering Applications of Artificial Intelligence 17, no. 7 (2004): 825–39. http://dx.doi.org/10.1016/s0952-1976(04)00117-4.

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Brígida, Teixeira, Santos Gabriel, Pinto Tiago, Vale Zita, and M. Corchado Juan. "Application Ontology for Multi-Agent and Web-Services' Co-Simulation in Power and Energy System." IEEE Access Volume: 8 (April 28, 2020): 81129–41. https://doi.org/10.1109/ACCESS.2020.2991010.

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Power and energy systems are very complex, and several tools are available to assist operators in their planning and operation. However, these tools do not allow a sensitive analysis of the impact of the interaction between the different sub-domains and, consequently, in obtaining more realistic and reliable results. One of the key challenges in this area is the development of decision support tools to address the problem as a whole. Tools Control Center - TOOCC - proposed and developed by the authors, enables the co-simulation of heterogeneous systems to study the electricity markets, the ope

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Abed, Mourad, Imen Charfeddine, Mounir Benaissa, and Marta Starostka-Patyk. "Intelligent Traceability System of Containerized Goods." Applied Mechanics and Materials 309 (February 2013): 241–51. http://dx.doi.org/10.4028/www.scientific.net/amm.309.241.

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In recent year, many countries across in the world have made traceability a compulsory procedure in the Supply Chain. The Supply Chain is distributed collaborative environments involves the acquisition and use of extensive informational and physical flows. The flows management seems a complex task for the actors of the multimodal transport chain which the transport is the major driver in a Supply Chain. The literature reviews throws light on the traceability in the Supply Chain Management (SCM) shows the lack of interoperability and flexibility in data management systems hinders the work of tr

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Mohamed, GAROUI1 Belhassen MAZIGH2 Béchir El AYEB3 Abderrafiaa KOUKAM4. "TOWARDS TO AN AGENT-ORIENTED MODELING AND EVALUATING APPROACH FOR VEHICULAR SYSTEMS SECURITY." International Journal of Information Technology, Modeling and Computing (IJITMC) 2, February (2018): 01–18. https://doi.org/10.5281/zenodo.1413273.

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Agent technology is a software paradigm that permits to implement large and complex distributed applications. In order to assist the development of multi-agent systems, agent-oriented methodologies (AOM) have been created in the last years to support modeling more and more complex applications in many different domains. By defining in a non-ambiguous way concepts used in a specific domain, Meta modeling may represent a step towards such interoperability. In the Transport domain, this paper propose an agent-oriented meta-model that provides rigorous concepts for conducting transportation system

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Nguyen, Tung-Lam, Efren Guillo-Sansano, Mazheruddin Syed, et al. "Multi-Agent System with Plug and Play Feature for Distributed Secondary Control in Microgrid—Controller and Power Hardware-in-the-Loop Implementation." Energies 11, no. 12 (2018): 3253. http://dx.doi.org/10.3390/en11123253.

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Distributed control and optimization strategies are a promising alternative approach to centralized control within microgrids. In this paper, a multi-agent system is developed to deal with the distributed secondary control of islanded microgrids. Two main challenges are identified in the coordination of a microgrid: (i) interoperability among equipment from different vendors; and (ii) online re-configuration of the network in the case of alteration of topology. To cope with these challenges, the agents are designed to communicate with physical devices via the industrial standard IEC 61850 and

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Benmerzoug, Djamel. "Towards AiP as a Service." International Journal of Information Systems in the Service Sector 7, no. 2 (2015): 1–17. http://dx.doi.org/10.4018/ijisss.2015040101.

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The challenges that Cloud computing poses to business processes integration, emphasize the need for addressing two major issues: (i) which integration approach should be used allowing an adequate description of interaction aspects of the composed software components ? (ii) how are these interaction descriptions stored and shared to allow other software artifacts to (re)use them ? To address these issues, in this paper the authors propose an Agent Interaction Protocols (AiP)-based approach for reusing and aggregating existing Cloud services to create a new desired business application. The prop

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Louge, Thierry, Mohamed Hedi Karray, and Bernard Archimède. "Using Adaptive Logics for Expression of Context and Interoperability in DL Ontologies." Information 13, no. 3 (2022): 139. http://dx.doi.org/10.3390/info13030139.

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Ontologies are logical theories that are used in computer science for describing different items such as web services, agents in multi-agent systems, or domain knowledge. Many ontologies exist, expressing various domains of knowledge with different abstraction levels (domain ontologies, top-level ontologies, and task ontologies are the usual categories). The conceptualization of the knowledge contained in an ontology is subject to change, whether because the context of its use changes, because the domain evolves, or because an ontology needs to interoperate with other elements using other onto

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Morge, Maxime, and Jean-Christophe Routier. "Debating over heterogeneous descriptions." Applied Ontology: An Interdisciplinary Journal of Ontological Analysis and Conceptual Modeling 2, no. 3-4 (2007): 333–49. https://doi.org/10.3233/apo-2007-037.

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A fundamental interoperability problem is caused by the semantic heterogeneity of agents'ontologies in open multi-agent systems. In this paper, we propose a formal framework for agents debating over heterogeneous terminologies. For this purpose, we propose an argumentation-based representation framework to manage conflicting descriptions. Moreover, we propose a model for the reasoning of agents where they justify the description to which they commit and take into account the description of their interlocutors. Finally, we provide a dialectical system allowing agents to participate in a dialogu

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Portela, Filipe, Filipe Miranda, Manuel Santos, António Abelha, and José Machado. "An online-processing critical patient monitoring system- an interoperability overview." Computer Science and Information Systems 14, no. 2 (2017): 491–515. http://dx.doi.org/10.2298/csis160604013p.

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With the increasing expansion of Healthcare Information Systems, platforms for interoperability and monitoring systems have become vital tools to support the clinical practice. Under this scenario, the creation of knowledge in real-time to feed decision support tools is essential. INTCare is one the solutions that adapts the way that information is gathered and processed in order to obtain that knowledge. Once new information arrives, it triggers the ETL (extract, transform, load) procces enabling real-time processes like data mining. However, the system fails in recognize if a patient is abse

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BERNON, CAROLE, MASSIMO COSSENTINO, and JUAN PAVÓN. "Agent-oriented software engineering." Knowledge Engineering Review 20, no. 2 (2005): 99–116. http://dx.doi.org/10.1017/s0269888905000421.

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Considering the great number of agent-oriented methodologies that can be found in the literature, and the fact that each one defines its own concepts and system structure, one of the main challenges in agent-oriented software engineering (AOSE) research is how to make these methodologies interoperable. By defining concepts used in a specific domain in a non-ambiguous way, meta-modelling may represent a step towards such interoperability. Consequently the main objective of the AOSE TFG (Technical Forum Group) is to establish a strategy for identifying a common meta-model that could be widely ad

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Chatterjee, Pushpalika. "Federated Multi-Agent Reinforcement Learning for Real-Time Risk Scoring in Cross-Border Payment Networks." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 6, no. 1 (2024): 800–817. https://doi.org/10.60087/jaigs.v6i1.381.

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As financial ecosystems become increasingly digitized and globalized, cross-border payments present escalating challenges in real-time risk assessment, fraud detection, and regulatory compliance. Traditional centralized models for risk scoring often fall short in scalability, privacy preservation, and adaptability. This research proposes an innovative architecture that fuses Federated Learning (FL) with Multi-Agent Reinforcement Learning (MARL) to enable decentralized, privacy-preserving, and adaptive real-time risk scoring across international payment gateways. Each participating financial en

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Fakhouri Amr, Meryem, Mouhcine Elgarej, Nezha Benmoussa, Khalifa Mansouri, and Mohammed Qbadou. "Towards a Distributed SMA-based Solution for the Interoperability of Hospital Information Systems for Better Routing of Emergency Ambulances." International Journal of Online and Biomedical Engineering (iJOE) 17, no. 12 (2021): 70–92. http://dx.doi.org/10.3991/ijoe.v17i12.25455.

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Multi-agent systems MASs have been widely used to interoperate hospital information systems (HISs). The use of MASs for HISs interoperability has become a central solution, especially in the field of emergency medicine. In emergencies, the notion of delay is relative, because responders only have a few minutes to react. This emergency response time has an important role in the event that an accident occurs on the road. Existing procedures for the emergency ambulance (EA) dispatch strategy are based on manual dispatch. In this work, we are introducing a distributed emergency ambulance (DEA) rou

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Mutlag, Ammar Awad, Mohd Khanapi Abd Ghani, Mazin Abed Mohammed, et al. "Multi-Agent Systems in Fog–Cloud Computing for Critical Healthcare Task Management Model (CHTM) Used for ECG Monitoring." Sensors 21, no. 20 (2021): 6923. http://dx.doi.org/10.3390/s21206923.

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In the last decade, the developments in healthcare technologies have been increasing progressively in practice. Healthcare applications such as ECG monitoring, heartbeat analysis, and blood pressure control connect with external servers in a manner called cloud computing. The emerging cloud paradigm offers different models, such as fog computing and edge computing, to enhance the performances of healthcare applications with minimum end-to-end delay in the network. However, many research challenges exist in the fog-cloud enabled network for healthcare applications. Therefore, in this paper, a C

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Dragomir, Otilia Elena, and Florin Dragomir. "Multi-Agent-Based Estimation and Control of Energy Consumption in Residential Buildings." Processes 13, no. 7 (2025): 2261. https://doi.org/10.3390/pr13072261.

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Despite notable advancements in smart home technologies, residential energy management continues to face critical challenges. These include the complex integration of intermittent renewable energy sources, issues related to data latency, interoperability, and standardization across diverse systems, the inflexibility of centralized control architectures in dynamic environments, and the difficulty of accurately modeling and influencing occupant behavior. To address these challenges, this study proposes an intelligent multi-agent system designed to accurately estimate and control energy consumpti

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Tikhanychev, Oleg V. "On the problem of information support of decision-making automation." Journal Of Applied Informatics 15, no. 89 (2020): 62–72. http://dx.doi.org/10.37791/2687-0649-2020-15-5-62-72.

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For computer programs need a formalized information. As is known, automated control systems work only with formal information. The basis for the formalization of a system of information classification and coding. The use of formalized data allows users to work with software from the automated control systems. By increasing the size of the control systems and the number of used software, there is a problem of organization of information exchange. Normative documents recommend organizing information interaction through communication protocols. However, with the growing size of the control system

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Michalowski, W., D. O’Sullivan, K. Farion, et al. "A Task-based Support Architecture for Developing Point-of-care Clinical Decision Support Systems for the Emergency Department." Methods of Information in Medicine 52, no. 01 (2013): 18–32. http://dx.doi.org/10.3414/me11-01-0099.

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SummaryObjectives: The purpose of this study was to create a task-based support architecture for developing clinical decision support systems (CDSSs) that assist physicians in making decisions at the point-of-care in the emergency department (ED). The backbone of the proposed architecture was established by a task-based emergency workflow model for a patient-physician encounter.Methods: The architecture was designed according to an agent-oriented paradigm. Specifically, we used the O-MaSE (Organization-based Multi-agent System Engineering) method that allows for iterative translation of functi

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García-Domínguez, Antonio, Mariano Marcos-Barcena, Inmaculada Medina-Bulo, and Lledo Prades. "Towards an Integrated SOA-Based Architecture for Interoperable and Responsive Manufacturing Systems Using the ISA-95 Object Model." Key Engineering Materials 615 (June 2014): 145–56. http://dx.doi.org/10.4028/www.scientific.net/kem.615.145.

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Manufacturing systems need to integrate information from several sources, manage their business processes and coordinate the shop floor in order to meet the schedule at reduced costs. Holonic manufacturing has been proposed to solve these problems and has been normally implemented using agents. However, these implementations are not widely used due to their cost and limited interoperability. In this work, an approach that combines a service-oriented architecture with a multi-agent system is proposed. A list of rules is designed for deciding how to implement each holon, and is applied to the le

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Shili, Mohamed, and Sajid Anwar. "Leveraging Agent-Based Modeling and IoT for Enhanced E-Commerce Strategies." Information 15, no. 11 (2024): 680. http://dx.doi.org/10.3390/info15110680.

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The increasing demand for consumers to engage in e-commerce “anytime, anywhere” necessitates more advanced and integrated solutions. This paper presents a novel approach for integrating e-commerce platforms with the Internet of Things (IoT) through the use of agent-based models. The key objective is to create a multi-agent system that optimizes interactions between IoT devices and e-commerce systems, thereby improving operational efficiency, adaptability, and user experience in online transactions. In this system, independent agents act as intermediaries, facilitating communication and enablin

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Lakhwani, Tejinder Singh. "Integrating 5PL Frameworks with Drone-Based Last-Mile Delivery: A Model for Future-Ready Logistics." Transportation Development Research 3, no. 1 (2025): 27–45. https://doi.org/10.55121/tdr.v3i1.449.

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The rapid evolution of logistics service providers from 1PL to 5PL has underscored the growing need for intelligent, data-driven orchestration across the supply chain. Simultaneously, drone-based delivery has emerged as a promising solution to last-mile challenges, particularly in urban congestion zones and infrastructure-deficient rural areas. However, current deployments of drone logistics remain largely siloed and unintegrated with broader digital logistics platforms. This paper proposes a novel conceptual framework that embeds drone-based last-mile delivery within the orchestration archite

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Chen, Yuhua, Hasri Mustafa, Asna Atqa Abdullah, Ziqin Feng, and Rosmila Senik. "Research on the Integration of Blockchain Technology and Accounting Information Systems in the Context of Budget Performance Reform for SDGs: A Four - Layer System Framework Design." Journal of Lifestyle and SDGs Review 5, no. 3 (2025): e04634. https://doi.org/10.47172/2965-730x.sdgsreview.v5.n03.pe04634.

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Objective: This study aims to explore integrate blockchain technology and accounting information systems in the context of budget performance reform, and to help achieve sustainable peace, justice and strong institutions. Theoretical Framework: This study constructed by synthesizing the literature on budget performance management, fiscal and taxation system reform, and the application of blockchain in accounting information systems, and is further solidified by incorporating the grounded theory to support the exploration of integrating blockchain technology and accounting information systems w

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Safin, Artem I., Maksim I. Maksimov, and Timur D. Badaraev. "DEVELOPMENT AND IMPLEMENTATION OF DIGITAL TOOLS FOR MULTI-LEVEL OPTIMIZATION OF MANAGEMENT PROCESSES IN VARIOUS ECONOMIC SECTORS: MATHEMATICAL MODELING OF LOGISTICS RISKS." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 3/11, no. 156 (2025): 43–55. https://doi.org/10.36871/ek.up.p.r.2025.03.11.005.

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This study is devoted to a comprehensive analysis of modern digital tools for multilevel optimization of management processes in logistics systems across various economic sectors, with a focus on mathematical modeling of risks. The paper presents a fundamental theoretical and methodological framework for optimizing logistics processes, including systematization of modern digital tools, methods of mathematical modeling, and risk prediction algorithms in the context of digital economic transformation. The analysis demonstrates that effective functioning of logistics systems under uncertainty req

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Shapovalov, Viktor, and Oleksandr Stryzhak. "Transdisciplinary integration of knowledge in the environment of a virtual stem center." Innovative Technologies and Scientific Solutions for Industries, no. 4(26) (December 27, 2023): 95–107. http://dx.doi.org/10.30837/itssi.2023.26.095.

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The subject of the article is the role of ontological systems in improving the processes of structuring and analyzing scientific content, especially in the context of STEM education. The goal of the work is to research and analyze the application of ontological systems in the context of managing educational materials in STEM education. The use of such approaches is focused on developing effective methods for structuring and presenting educational knowledge in the STEM education system, emphasizing the importance of integrating different scientific disciplines to optimize the educational

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Faid, Amine, Mohamed Sadik, and Essaid Sabir. "An Agile AI and IoT-Augmented Smart Farming: A Cost-Effective Cognitive Weather Station." Agriculture 12, no. 1 (2021): 35. http://dx.doi.org/10.3390/agriculture12010035.

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Internet of Things (IoT) can be seen as the electricity of 21st century. It has been reshaping human life daily during the last decade, with various applications in several critical domains such as agriculture. Smart farming is a real-world application in which Internet of Things (IoT) technologies like agro-weather stations can have a direct impact on humans by enhancing crop quality, supporting sustainable agriculture, and eventually generating steady growth. Meanwhile, most agro-weather solutions are neither customized nor affordable for small farmers within developing countries. Furthermor

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Makarenko, S. I. "Semantic interoperability of human-machine interfaces in net-centric systems." Journal of Radio Electronics 2022, no. 2 (2022). http://dx.doi.org/10.30898/1684-1719.2022.2.4.

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In the situation of transition from information and control systems to a net-centric architecture and development of net-centric information and control system, the relevance of interoperability assurance in such systems is increasing. Interoperability has to be provided at three levels: technical, semantic and organizational in accordance with Russia's state standard no. 55062-2012. Main thesis of the semantic interoperability concept is proposed in other author’s papers on basis of a multi-agent approach and a systems, capabilities, operations, programs, and enterprises model for interoperab

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Power, David. "Collaborative Care: Multi-Agent Systems in Healthcare." Computers and Electronics in Medicine, January 31, 2025. https://doi.org/10.69882/adba.cem.2025011.

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Everyday thousands of IoT devices are added to networks globally. Medical IoT (IoMT) is a subdomain, which has had much success over recent years and is expanding rapidly. However, interoperability is poor with IoMT devices, and even the sharing of basic patient data is generally poor between healthcare systems. There is considerable waste and unnecessary duplication of data across devices, which grows exponentially across healthcare systems. Multi-agent systems have the potential to reduce waste and expenditure while improving efficiency and personalizing patient care and may offer the potent

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Gabriel, Santos, Pinto Tiago, praça Isabel, and Vale Zita. "An Interoperable Approach for Energy Systems Simulation: Electricity Market Participation Ontologies." Energies 9, no. 11 (2016). https://doi.org/10.3390/en9110878.

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Electricity markets are complex environments with very particular characteristics. Some of the main ones for this complexity are the need for an adequate integration of renewable energy sources and the electricity markets’ restructuring process. The growth of simulation tool usage is driven by the need to understand those mechanisms and how the involved players’ interactions affect the markets’ outcomes. Several modelling tools directed to the study of restructured wholesale electricity markets have emerged. Although, they share a common limitation: the lack of interoperabili

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Makarenko, S. I. "Semantic interoperability human agents in net-centric systems." Journal of Radio Electronics 2022, no. 1 (2022). http://dx.doi.org/10.30898/1684-1719.2022.1.1.

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In the situation of transition from information and control systems to a net-centric architecture and development of net-centric system (NCS), the relevance of interoperability assurance in such systems is increasing. Interoperability have to be provided at three levels: technical, semantic and organizational in accordance with Russia's state standard no. 55062-2012. The main thesis of the concept of semantic interoperability of NCS, which are based on a multi-agent approach and a systems capabilities, operations, programs and enterprises model for Interoperability assessment, were proposed in

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Brígida, Teixeira, Pinto Tiago, Silva Francisco, Santos Gabriel, Praça Isabel, and Vale Zita. "Multi-Agent Decision Support Tool to Enable Interoperability among Heterogeneous Energy Systems." Applied Sciences 8, no. 3 (2018). https://doi.org/10.3390/app8030328.

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Worldwide electricity markets are undergoing a major restructuring process. One of the main reasons for the ongoing changes is to enable the adaptation of current market models to the new paradigm that arises from the large-scale integration of distributed generation sources. In order to deal with the unpredictability caused by the intermittent nature of the distributed generation and the large number of variables that contribute to the energy sector balance, it is extremely important to use simulation systems that are capable of dealing with the required complexity. This paper presents the To

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Hasan, Omar Al-Sakran. "Framework Architecture for Improving Healthcare Information Systems using Agent Technology." August 17, 2018. https://doi.org/10.5281/zenodo.1346624.

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Due to diversity, heterogeneity and complexity of the existing healthcare structure, providing suitable healthcare services is a complicated process. This work describes the conceptual design of an e-healthcare system, which implements integration strategies and suitable technologies that will handle the interoperability problem among its essential components. The proposed solution combines intelligent agent technology and case based reasoning for highly distributed applications in healthcare environment. Intelligent agents play a critical role in providing correct information for diagnostic,

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Makarenko, S. I., and O. S. Solovieva. "Semantic interoperability of interaction of elements in network-centric systems." Journal of Radio Electronics, June 2021. http://dx.doi.org/10.30898/1684-1719.2021.6.3.

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In the paper is proposed an approach for semantic interaction modelling of network-centric system elements and their context parameters based on the multi-agent approach and the systems, capabilities, operations, programs, and enterprises model for interoperability assessment. The peculiarity of this approach is that the elements of a network-centric system are formalized as agents of various types (human agents and technical cognitive agents), where the semantic interaction is determined by the agent goals, the subject area of interaction and the context. In addition, correct of interaction i

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Makarenko, S. I., and O. S. Solovieva. "Basic provisions of the concept of semantic interoperability of net-centric systems." Journal of Radio Electronics, April 2021. http://dx.doi.org/10.30898/1684-1719.2021.4.10.

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In the situation of transition from information and control systems to a net-centric architecture and development of net-centric information and control system, the relevance of interoperability assurance in such systems is increasing. Interoperability have to be provided at three levels: technical, semantic and organizational in accordance with Russia's state standard no. 55062-2012. Main thesis of the semantic interoperability concept are proposed in this paper on basis of a multi-agent approach and a systems, capabilities, operations, programs, and enterprises model for interoperability ass

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Gabriel, Santos, Pinto Tiago, Praça Isabel, and Vale Zita. "Iberian electricity market ontology to enable smart grid market simulation." Energy Informatics 1, no. 13 (2018). https://doi.org/10.1186/s42162-018-0018-2.

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Several approaches have been proposed to enhance the potential of distributed generation (DG). Some of the most prominent solutions include the aggregation of DG units and other players, culminating in the concept of and Smart Grid (SG). In this context, several simulation tools arose to study and test the new market mechanisms. However, all of these simulators are closed and centred in their object of study, neglecting the potential advantages of interoperating with other systems from the same domain. This work proposes the use of ontologies for systems interoperability in the power and energ

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Nguyen, Tung-Lam, Efren Guillo-Sansano, Mazheruddin H. Syed, et al. "Multi-agent system with plug and play feature for distributed secondary control in microgrid—controller and power hardware-in-the-loop implementation." Energies 11, no. 12 (2018). https://doi.org/10.3390/en11123253.

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Distributed control and optimization strategies are a promising alternative approach to centralized control within microgrids. In this paper, a multi-agent system is developed to deal with the distributed secondary control of islanded microgrids. Two main challenges are identified in the coordination of a microgrid: (i) interoperability among equipment from different vendors; and (ii) online re-configuration of the network in the case of alteration of topology. To cope with these challenges, the agents are designed to communicate with physical devices via the industrial standard IEC 61850 and

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Ageed, Zainab Salih, Rowaida Khalil Ibrahim, and Mohammed A. M. Sadeeq. "Unified Ontology Implementation of Cloud Computing for Distributed Systems." Current Journal of Applied Science and Technology, November 11, 2020, 82–97. http://dx.doi.org/10.9734/cjast/2020/v39i3431039.

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The ability to provide massive data storage, applications, platforms plus many other services leads to make the number of clouds services providers been increased. Providing different types of services and resources by various providers implies to get a high level of complexity. This complexity leads to face many challenges related to security, reliability, discovery, service selection, and interoperability. In this review, we focus on the use of many technologies and methods for utilizing the semantic web and ontology in cloud computing and distributed system as a solution for these challenge

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Jingwei, Dong, Tang Wei, and Yu Minggang. "A method for modeling and evaluating the interoperability of multi-agent systems based on hierarchical weighted networks." Journal of Systems Engineering and Electronics, 2025, 1–14. https://doi.org/10.23919/jsee.2025.000047.

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ÇALIŞ, Banu. "The role of interoperability of Multi-Agent Systems for IoT applications: A survey on recent advances in smart manufacturing systems." Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi, April 10, 2022. http://dx.doi.org/10.17341/gazimmfd.944264.

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Çok Etmenli Sistemler (MAS), Nesnelerin İnterneti (IoT) uygulamaları içerisinde, akıllı nesnelerin etmenler (agent) olarak tasarlanması aracılığı ile birden çok akıllı cihazdan bilgilerin algılamasını, toplamasını, paylaşmasını, pekiştirilmesini ve revize edilmesini mümkün kılmaktadır. Çok etmenli sistemler ve ilgili araçlar, sistemlerin optimizasyonunda kullanılan paradigmalar için önemli değişikliklere katkıda bulunmakla birlikte, MAS hakkındaki mevcut literatür, IoT cihazlarının gelişmiş işbirliğini açıklayan modern dağıtılmış hesaplama yöntemlerini açıklamak için yeterli düzeyde değildir.

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E., Karoui Chaabane, Hadouaj S., and Ghedira K. "Multi-Agents Coordination Model in Inter- Organizational Workflow: Applying in Egovernment." January 24, 2013. https://doi.org/10.5281/zenodo.1070993.

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Inter-organizational Workflow (IOW) is commonly used to support the collaboration between heterogeneous and distributed business processes of different autonomous organizations in order to achieve a common goal. E-government is considered as an application field of IOW. The coordination of the different organizations is the fundamental problem in IOW and remains the major cause of failure in e-government projects. In this paper, we introduce a new coordination model for IOW that improves the collaboration between government administrations and that respects IOW requirements applied to e-govern

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