Results 11 to 20 of about 334,534 (257)
Fuzzy multi-agent interaction [PDF]
1996 IEEE International Conference on Systems, Man and Cybernetics. Information Intelligence and Systems (Cat. No.96CH35929), 2002 In this paper a fuzzy communication protocol among agents in a group is presented as an alternative solution to the classical ones used in architectures for the cooperation of agents. In order to achieve this goal, the integration of previous works carried out on fuzzy behaviors and on cooperative architectures at the Intelligent Agents Lab.
Molina, José Manuel +2 more
openaire +2 more sources
Multi-Agent Cooperative Target Search [PDF]
Sensors, 2014 This paper addresses a vision-based cooperative search for multiple mobile ground targets by a group of unmanned aerial vehicles (UAVs) with limited sensing and communication capabilities. The airborne camera on each UAV has a limited field of view and its target discriminability varies as a function of altitude.
Hu, Jinwen +3 more
openaire +5 more sources
Optimal User Scheduling in Multi Antenna System Using Multi Agent Reinforcement Learning
Sensors, 2022 Multiple Input Multiple Output (MIMO) systems have been gaining significant attention from the research community due to their potential to improve data rates.
Muddasar Naeem +4 more
doaj +1 more source
Adaptive multi‐agent smart academic advising framework
IET Software, 2021 Academic advising is a crucial process in higher education and usually requires better understanding of student capabilities and curriculum structure to achieve its intended goals.
Abdelaziz A. Abdelhamid +1 more
doaj +1 more source
Dealing with Deadlocks in Industrial Multi Agent Systems
Future Internet, 2023 Automated Manufacturing Systems (AMS) consisting of many cooperating devices incorporated into multiple cooperating production lines, sharing common resources, represent industrial Multi-Agent Systems (MAS).
František Čapkovič
doaj +1 more source
Cooperative Multi-Agent Planning [PDF]
ACM Computing Surveys, 2017 Cooperative multi-agent planning (MAP) is a relatively recent research field that combines technologies, algorithms, and techniques developed by the Artificial Intelligence Planning and Multi-Agent Systems communities. While planning has been generally treated as a single-agent task, MAP generalizes this concept by considering multiple ...
Alejandro Torreño +3 more
openaire +3 more sources
Hierarchical multi‐agent reinforcement learning for multi‐aircraft close‐range air combat
IET Control Theory & Applications, 2023 The close‐range autonomous air combat has gained significant attention from researchers involved in applications related to artificial intelligence (AI).
Wei‐ren Kong +4 more
doaj +1 more source
Detecting the driver nodes of temporal networks
New Journal of Physics, 2023 Detecting the driver nodes of complex networks has garnered significant attention recently to control complex systems to desired behaviors, where nodes represent system components and edges encode their interactions.
Tingting Qin, Gaopeng Duan, Aming Li
doaj +1 more source
Multi‐agent reinforcement learning based transmission scheme for IRS‐assisted multi‐UAV systems
IET Communications, 2023 In this paper, a transmission scheme based on multi‐agent reinforcement learning for intelligent reflecting surface (IRS)‐assisted multiple unmanned aerial vehicles (UAVs) systems is proposed.
Yumo Mei +4 more
doaj +1 more source
IET Smart Grid, 2022 Residential buildings are large consumers of energy. They contribute significantly to the demand placed on the grid, particularly during hours of peak demand.
Junlin Lu, Patrick Mannion, Karl Mason
doaj +1 more source