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Accountability in multi-agent organizations: from conceptual design to agent programming
This work proposes a notion of accountability for multi-agent systems, that supports the development of robust distributed systems. Accountability is...
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Spatial Design and Implementation of an Agent System Leading to Bed
This research focuses on improving the sleep process for the elderly, including those with dementia, and builds upon the works of Wan et al. [20] and...
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Joint UAV trajectory and communication design with heterogeneous multi-agent reinforcement learning
Unmanned aerial vehicles (UAVs) are recognized as effective means for delivering emergency communication services when terrestrial infrastructures...
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Controllability of game-based multi-agent system
We introduce a strategy matrix, a novel concept for ensuring controllability in game-based control systems (GBCSs). This graph-based condition is...
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Multi-agent system architecture for winter road maintenance: a real Spanish case study
Road safety remains a critical issue in contemporary society, where the sudden deterioration of road conditions due to weather-related natural...
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Modified dynamic event-triggered scaled formation control for multi-agent systems via a sparrow search algorithm based co-design algorithm
This paper is concerned with the scaled formation control problem for multi-agent systems (MASs) over fixed and switching topologies. First, a...
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Social VR design features and experiential outcomes: narrative review and relationship map for dyadic agent conversations
The application of virtual reality to the study of conversation and social interaction is a relatively new field of study. While the affordances of...
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Multi Agent Based High School Physics Network Course Automatic Generation System
The construction of online courses is the key to the modernization of education. Due to the backwardness of the application means of the existing...
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Multi Agent Based Network Collaborative Learning Support System for Mathematics Curriculum
In the process of designing the learning support system, due to the low interaction flexibility between different modules, the running performance of...
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Multimodal Expressive Embodied Conversational Agent Design
Embodied Conversational Agent (ECA) is a term encompassing virtual agents designed to converse with a human user, with a physical representation in...
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Communication-robust multi-agent learning by adaptable auxiliary multi-agent adversary generation
Communication can promote coordination in cooperative Multi-Agent Reinforcement Learning (MARL). Nowadays, existing works mainly focus on improving...
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Synthesizing Multi-agent System Organization from Engineering Descriptions
Automation of electro-mechanical systems, such as the ones deployed in a building or a factory, is engineered based on the design-time knowledge of...
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Design of E. coli Growth Simulator Using Multi-agent System
This work proposes the design of a multi-agent system to simulate the growth of E. coli bacteria in a growth medium, based on the behavior of the...
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A novel multi agent recommender system for user interests extraction
In this paper, a multi agent recommender system is designed and developed for user interests extraction The system consists of eight agents such as...
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Multi-agent system-based fuzzy constraints offer negotiation of workflow scheduling in Fog-Cloud environment
This paper presents the multi-agent system fuzzy-constraints offer negotiation of Workflow Scheduling in Fog-Cloud environment, called (Fuzzy-Cone)...
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Distributed Optimal Consensus Control for Heterogeneous Multi-agent System with Disturbance
This paper develops a distributed control protocol for the distributed optimal consensus problem of multi-agent systems. The dynamics of multi-agent...
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Learning a data-efficient model for a single agent in homogeneous multi-agent systems
Training Reinforcement Learning (RL) policies for a robot requires an extensive amount of data recorded while interacting with the environment....
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Multi-agent System for Multimodal Machine Learning Object Detection
Multi-agent systems have shown great promise in addressing complex problems that traditional single-agent approaches are not be able to handle. In...
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Enhancing Multi-agent Coordination via Dual-channel Consensus
Successful coordination in multi-agent systems requires agents to achieve consensus. Previous works propose methods through information sharing, such...
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Learning controlled and targeted communication with the centralized critic for the multi-agent system
Multi-agent deep reinforcement learning (MDRL) has attracted attention for solving complex tasks. Two main challenges of MDRL are non-stationarity...
