Results 31 to 40 of about 208,866 (181)
Dialogue Games in Multi-Agent Systems
Formal dialogue games have been studied in philosophy since at least the time of Aristotle. Recently they have been applied in various contexts in computer science and artificial intelligence, particularly as the basis for interaction between autonomous ...
Peter McBurney, Simon Parsons
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Multi-Agent-Based Controller for Microgrids: An Overview and Case Study
A microgrid can be defined as a grid of interconnected distributed energy resources, loads and energy storage systems. In microgrid systems containing renewable energy resources, the coordinated operation of distributed generation units is important to ...
Necmi Altin +2 more
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Special Issue “Multi-Agent Systems”: Editorial
Multi-agent systems (MAS) allow and promote the development of distributed and intelligent applications in complex and dynamic environments. Applications of this kind have a crucial role in our everyday life, as witnessed by the broad range of domains ...
Stefano Mariani, Andrea Omicini
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Nondestructive intervention to multi-agent systems through an intelligent agent. [PDF]
For a given multi-agent system where the local interaction rule of the existing agents can not be re-designed, one way to intervene the collective behavior of the system is to add one or a few special agents into the group which are still treated as ...
Jing Han, Lin Wang
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Observer-Based PID Control Protocol of Positive Multi-Agent Systems
This paper proposes the observer-based proportional-integral-derivative control of positive multi-agent systems. First, a positive observer is constructed for the considered multi-agent systems in terms of a matrix decomposition approach.
Xiaogang Yang +3 more
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Negotiation in multi-agent systems [PDF]
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
Beer, M +5 more
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Niching In Evolutionary Multi-Agent Systems
Niching is a group of techniques used in evolutionary algorithms, useful inseveral types of problems, including multimodal or nonstationary optimiza-tion. This paper investigates the applicability of these methods to evolutionarymulti-agent systems (EMAS)
Daniel Krzywicki
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This paper developed an intelligent multi-agent system (MAS) with a multi-layer framework for multi-microgrids (MMGs) using robust and modern communication patterns for deployed agents to achieve distributed tasks.
Kamran Mujahid +9 more
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Distributed adaptive iterative learning control for 2D multi agent systems
This letter addresses the output consensus problem for a class of two‐dimensional (2D) multi agent systems (MASs) described by Fornasini–Marchesini model.
Qingyuan Xu +4 more
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Consensus Control of Multi-Agent Systems by Intermittent Brownian Noise Stabilization Scheme
This study explores the consensus of multi-agent systems in the presence of ambient noise using intermittent Brownian noise stabilization. Firstly, the research provides a mathematical explanation of multi-agent systems and intermittent stochastic noise,
Liangyi Cai +4 more
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