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   Articles with "multiagent" as a keyword



Toward an eclectic and malleable multiagent educational assistant

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recommendations! Published in 2021 at "Computer Applications in Engineering Education"

DOI: 10.1002/cae.22449

Abstract: Abstract Conversational agents are systems capable of processing and responding to human language. They have evolved over the years from a means to pass the Turing Test to chatbots that fulfill a utilitarian purpose. Closed-domain… read more here.

Keywords: educational assistant; eclectic malleable; knowledge base; multiagent ... See more keywords

A multiagent player system composed by expert agents in specific game stages operating in high performance environment

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recommendations! Published in 2017 at "Applied Intelligence"

DOI: 10.1007/s10489-017-0952-x

Abstract: This paper proposes a new approach for the non-supervised learning process of multiagent player systems operating in a high performance environment, being that the cooperative agents are trained so as to be expert in specific… read more here.

Keywords: game; operating high; multiagent player; multiagent ... See more keywords

Distributed Decoupling of Partially-Unknown Interconnected Linear Multiagent Systems: State and Output Feedback Approaches

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recommendations! Published in 2017 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2017.08.155

Abstract: Abstract Distributed consensus algorithms have been widely designed for physically decoupled linear time-invariant multiagent systems operating at a fixed operating point. However, they do not guarantee the closed-loop stability and performance of multiagent systems in… read more here.

Keywords: linear multiagent; multiagent; state output; multiagent systems ... See more keywords

IMPlanner-MAS: A Multiagent System for Distributed Manufacturing Process Planning

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recommendations! Published in 2018 at "Procedia Manufacturing"

DOI: 10.1016/j.promfg.2018.07.161

Abstract: Abstract The paper reports development of the multiagent-based framework for distributed manufacturing process planning. The research builds on previous results in developing intelligent manufacturing planning platform and extends it into agent-based modeling. Both, design and… read more here.

Keywords: planning; distributed manufacturing; process planning; manufacturing process ... See more keywords

Task Allocation of Multiagent Groups in Social Networked Systems

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recommendations! Published in 2022 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2021.3134681

Abstract: In large-scale multiagent systems (MASs), agents are often organized in groups through social networks. The advantages of group effectiveness cannot be fully achieved with traditional algorithms based on task decomposition or team formation. Therefore, a… read more here.

Keywords: multiagent; task; group; value ... See more keywords
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Multiagent Federated Deep-Reinforcement-Learning-Based Collaborative Caching Strategy for Vehicular Edge Networks

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recommendations! Published in 2024 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2024.3392329

Abstract: With the rapid advancement of in-vehicle communication technology, vehicular edge caching has garnered considerable attention as a pivotal technology to improve the efficiency of data transmission. However, existing studies often overlook the issues of increased… read more here.

Keywords: vehicle; edge; multiagent; caching strategy ... See more keywords

Heterogeneous Multiagent Task Allocation Based on Graph-Based Convolutional Assignment Neural Network

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recommendations! Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2025.3535641

Abstract: Task allocation in complex multiagent systems involves assigning tasks to agents with varying capabilities to optimize overall performance. The challenge lies in selecting the most suitable agent for each task, considering the agents’ heterogeneity and… read more here.

Keywords: task; task allocation; neural network; multiagent ... See more keywords

FairSignal: A Multiagent Reinforcement Learning Approach Considering Fairness for Multi-Intersection Traffic Signal Control

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recommendations! Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2025.3555822

Abstract: Currently, congestion has become a common urban disease. Recently, traffic control methods leveraging reinforcement learning (RL) have gained significant attention due to their capability to effectively utilize real-time traffic data. However, existing RL-based methods for… read more here.

Keywords: intersection traffic; control; multiagent; reinforcement learning ... See more keywords

Joint Mobility and Routing Optimization in UAV-Assisted Networks via RSSI-Based Localization and Multiagent DRL

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recommendations! Published in 2025 at "IEEE Internet of Things Journal"

DOI: 10.1109/jiot.2025.3593965

Abstract: Uncrewed aerial vehicle (UAV)-assisted communication networks offer an effective solution for establishing connectivity and enabling data delivery in scenarios where direct communication with terrestrial infrastructure is infeasible, such as in disaster areas. In such networks,… read more here.

Keywords: rssi based; uav assisted; mobility; multiagent ... See more keywords

DT-LSMAS: Digital Twin-Assisted Large-Scale Multiagent System for Healthcare Workflows

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recommendations! Published in 2024 at "IEEE Systems Journal"

DOI: 10.1109/jsyst.2024.3424259

Abstract: Digital healthcare has garnered much attention from academia and industry for health and well-being. Many digital healthcare architectures based on large-scale edge and cloud multiagent systems (LSMASs) have recently been presented. The LSMAS allows agents… read more here.

Keywords: multiagent; digital twin; healthcare; healthcare workflows ... See more keywords

Inferring Intents From Equivariant–Invariant Representations and Relational Learning in Multiagent Systems

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recommendations! Published in 2024 at "IEEE Systems Journal"

DOI: 10.1109/jsyst.2024.3440472

Abstract: Accurately understanding intentions is crucial in various real-world multiagent scenarios, which helps comprehend motives and predict actions within these contexts. Existing methods tend to either concentrate too much on single agents' isolated characteristics or model… read more here.

Keywords: inferring intents; multiagent; equivariant invariant; invariant representations ... See more keywords