Multiagent, multitimescale aggregated regulation method for demand response considering spatial–temporal complementarity of user-side resources by Tingzhe Pan, Chao Li, Chen Yang, Zijie Meng, Zongyi Wang, Zean Zhu

“…The integration of substantial renewable energy and controllable resources disrupts the supply–demand balance in distribution grids. …”
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A Dynamic Urban Lake Area Evolution Model Based on Multilevel Grid, Cellular Automata, and Multiagent System by Jianfeng Zhu, Shenzhen Tian

“…On this basis, a Dynamic Urban Lake Area Evolution Model (DULAEM) is proposed based on a multiagent system (MAS) and a cellular automata (CA) model. …”
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Battery Energy Storage Systems in Microgrids: A Review of SoC Balancing and Perspectives by Thales Augusto Fagundes, Guilherme Henrique Favaro Fuzato, Lucas Jonys Ribeiro Silva, Augusto Matheus dos Santos Alonso, Juan C. Vasquez, Josep M. Guerrero, Ricardo Quadros Machado

“…Consequently, this integration contributes to a more resilient power distribution system. …”
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DETEAMSK: A Model-Based Reinforcement Learning Approach to Intelligent Top-Level Planning and Decisions for Multi-Drone Ad Hoc Teamwork by Decoupling the Identification of Teammate... by Penghui Xu, Yu Zhang, Le Hao, Qilin Yan

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A Market-Oriented Trading Method for Integrated Community Energy System Based on Hierarchical Stackelberg Game Method by Guofeng Wang, Bei Jiang, Shuai Dong, Jiaqi Liu, Youbing Zhang

“…To this end, our research focuses on the optimization of community-level integrated energy systems (CIESs) equipped with combined cooling, heating, and power (CCHP), utilizing a multiagent system (MAS) and a hierarchical Stackelberg game approach. …”
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A Comparative Analysis of Fairness and Satisfaction in Multi-Agent Resource Allocation: Integrating Borda Count and K-Means Approaches with Distributive Justice Principles by Atef Gharbi, Mohamed Ayari, Nasser Albalawi, Yamen El Touati, Zeineb Klai

“…In resource-constrained environments, multiagent systems require a balance between fairness and satisfaction. …”
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Joint Resource Allocation for V2X Sensing and Communication Based on MADDPG by Zhiyong Zhong, Zhangyou Peng

“…Vehicle-to-Everything (V2X) communication is expected to play a critical role in enabling Intelligent Transportation Systems (ITS) within sixth-generation (6G) networks. Integrated Sensing and Communication (ISAC) technology is essential for enhancing spectrum efficiency and reducing resource overhead. …”
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Games and Agents: Designing Intelligent Gameplay by F. Dignum, J. Westra, W. A. van Doesburg, M. Harbers

“…We argue that the current attempts for integration still fall short on some of these aspects. …”
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Diagnostic performance of multimodal large language models in radiological quiz cases: the effects of prompt engineering and input conditions by Taewon Han, Woo Kyoung Jeong, Jaeseung Shin

“…AI-generated prompts yielded superior combined accuracy across all three models, with improvements over the basic (5.5%, P=0.035), chain-of-thought (4.0%, P=0.169), and multiagent prompts (3.5%, P=0.248). The integration of descriptive text significantly enhanced diagnostic accuracy for Claude 3.5 Sonnet (46.3% to 66.2%, P<0.001), GPT-4o (43.5% to 57.5%, P<0.001), and Gemini-1.5-Pro-002 (39.8% to 60.4%, P<0.001). …”
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Architecture of an MAS-Based Intelligent Communication in a WSN by Mostefa Bendjima, Mohammed Feham

“…This paper proposes the use of an intelligent WSN communication architecture based on a multiagent system (MAS), to ensure optimal data collection. …”
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Era of Generalist Conversational Artificial Intelligence to Support Public Health Communications by Emre Sezgin, Ahmet Baki Kocaballi

“… The integration of artificial intelligence (AI) into health communication systems has introduced a transformative approach to public health management, particularly during public health emergencies, capable of reaching billions through familiar digital channels. …”
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How Can Farmers’ Green Production Behavior Be Promoted? A Literature Review of Drivers and Incentives for Behavioral Change by Dalin Zhang, Feng Dong, Zhicheng Li, Sulan Xu

“…A multiagent incentive mechanism system is constructed from the perspectives of government-led, market-oriented, and social participation. …”
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Multidomain Behavioral Change Digital Coaching for Chronic Disease Management in Patients With Type 2 Diabetes: Framework Development and Preliminary Evaluation by Konstantina Kostopoulou, Danae Lekka, Aristodemos Pnevmatikakis, Nelina Angelova, Panagiotis Stafylas, Stefanos Tamouridis, Alexandra Bargiota, Sofoklis Kyriazakos

“…ObjectiveThis study aimed to present a holistic framework for designing, modeling, and executing behavior change strategies through a multiagent reasoning system that selected optimal digital coaching techniques based on individual assessments and integrated data-driven decision-making. …”
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Revue critique de trois outils de modélisation intégrée du territoire et de l’environnement pour la planification en Amérique du nord by Jean-François Guay, Jean-Philippe Waaub

“…Finding a functional articulation between these tools and their objects requires a reflection on (1) the object of study itself, (2) the integration capabilities of the tools, and (3) their synthesis capabilities. …”
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Fault Diagnosis and Prognosis of Satellites and Unmanned Aerial Vehicles: A Review by MohammadSaleh Hedayati, Ailin Barzegar, Afshin Rahimi

“…Within the works analyzed in this review, it was found that data-driven methods constitute 54% and 7% of the methodologies utilized in single- and multiagent FDP, respectively, which underscores the rise of these methods in the field of single-agent FDP and their unexplored potential in multiagent condition monitoring. …”
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Intelligent Renewable Energy Agent-Based Distributed Control Design for Frequency Regulation and Economic Dispatch by Amjad Khan, Amjad Ullah Khattak, Bilal Khan, Sahibzada Muhammad Ali, Zahid Ullah, Faisal Mehmood

“…To address the above challenges, this research employs a machine learning-based distributed multiagent consensus design that offers a rapid and robust approach, mitigating the limitations associated with the Distributed Average Integral (DAI) control design. …”
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Delta-V-Based Cooperative Strategies for Orbital Two-Pursuer One-Evader Pursuit–Evasion Games by Sihan Xu, Liran Zhao, Weichen Zhang, Zhaohui Dang

“…Ultimately, this research not only advances our understanding of multiagent orbital P-E dynamics but also establishes a foundation for more informed and effective strategic planning in practical space missions. …”
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Optimized Distributed Control for Power Sharing and Voltage-Frequency Regulation in Islanded Microgrids by Neethu Sajeev, Stephen Arinze Obi, Jae-Jung Jung

“…The primary objective is to ensure stable frequency and voltage regulation under disturbances, such as load changes while achieving accurate power sharing. A multiagent distributed control system, based on a hierarchical control structure, is implemented to facilitate the seamless integration of energy resources into the microgrid. …”
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Based Fault-Tolerance Consensus of Second-Order Heterogeneous System under Input Saturation with Dynamics and Static Leader by Jie Wu, Zijing Li, Xisheng Zhan

“…We apply theory of finite-time stability to multiagent system cooperative control. Also, we use integral sliding mode to overcome disturbance. …”
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Hybrid-Pursuit Strategies in Multiple Pursuer-Evader Games Using Reinforcement Learning by Yacun Guan, Wang Xu, Guohua Liu

“…Utilizing a variational autoencoder framework for effective obstacle detection, we integrate the multiagent twin delayed deep deterministic policy gradient algorithm for training pursuers and the proximal policy optimization algorithm for evaders, forming a complete pursuit-evasion strategy. …”
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