Results 11 to 20 of about 21,910,954 (295)
Learning in multi-agent systems [PDF]
The Knowledge Engineering Review, 2001 In recent years, multi-agent systems (MASs) have received increasing attention in the artificial intelligence community. Research in multi-agent systems involves the investigation of autonomous, rational and flexible behaviour of entities such as software programs or robots, and their interaction and coordination in such diverse ...
Eduardo Alonso 0001 +4 more
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Distributed learning for multi-agent control of a dynamic system [PDF]
, 2011 This thesis describes an investigation of self-organising, distributed control of dynamic, non-linear systems. The distribution is achieved through a multi-agent based approach. The self-organisation is addressed through reinforcement learning.
Pay, Mungo L
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Formation control of underwater vehicles using Multi Agent System [PDF]
Archives of Control Sciences, 2020 This paper proposes the development of a formation control algorithm of multiple acoustic underwater vehicles by employing the behaviour of autonomous mobile agents under a proposed pursuit.
Bikramaditya, Das +2 more
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On cooperation in multi-agent systems [PDF]
The Knowledge Engineering Review, 1997 Cooperation is often presented as one of the key concepts which differentiates multi-agent systems from other related disciplines such as distributed computing, object-oriented systems, and expert systems. However, it is a concept whose precise usage in agent-based systems is at best unclear and at worst highly inconsistent. Given the centrality of the
J. E. Doran +3 more
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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
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Negotiation in multi-agent systems [PDF]
The Knowledge Engineering Review, 1999 In systems composed of multiple autonomous agents, negotiation is a key form of interaction that enables groups of agents to arrive at a mutual agreement regarding some belief, goal or plan, for example. Particularly because the agents are autonomous and cannot be assumed to be benevolent, agents must influence others to convince them to act in certain
Martin Beer +5 more
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Deliberate Evolution in Multi-Agent Systems [PDF]
International Journal of Software Engineering and Knowledge Engineering, 2000 Evolution of automated systems, in particular evolution of automated agents based on agent deliberation, is the topic of this paper. Evolution is not a merely material process, it requires interaction within and between individuals, their environments and societies of agents.
Frances M. T. Brazier +3 more
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Formation Control of Swarm Robots Using Mobile Agents [PDF]
Vietnam Journal of Computer Science, 2019 In this paper, we propose an algorithm for controlling a fleet of swarm robots that construct three-dimensional forms. The swarm robots coordinate with each other through network communication, and compose formations such as polyhedrons presented as ...
Yasushi Kambayashi +4 more
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IET Control Theory & Applications, 2023 This paper introduces a distributed adaptive formation control for large‐scale multi‐agent systems (LS‐MAS) that addresses the heavy computational complexity and communication traffic challenges while directly extending conventional distributed control ...
Shawon Dey, Hao Xu
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Evolutionary multi-agent systems [PDF]
The Knowledge Engineering Review, 2015 Abstract The aim of this paper is to give a survey on the development and applications of evolutionary multi-agent systems (EMAS). The paper starts with a general introduction describing the background, structure and behaviour of EMAS. EMAS application to solving global optimisation problems is presented in the next section along with
Aleksander Byrski +3 more
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