Topic
Multi-agent system
About: Multi-agent system is a research topic. Over the lifetime, 27978 publications have been published within this topic receiving 465191 citations. The topic is also known as: multi-agent systems & multiagent system.
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TL;DR: In this article, a distributed management solution based on the paradigm of multi-agent systems (MASs) is proposed in order to ensure better system reliability in a hybrid power source.
217 citations
TL;DR: The authors identify the main pitfalls awaiting the agent system developer and recommend ways to avoid or rectify them where possible.
Abstract: While the theoretical and experimental foundations of agent-based systems are becoming increasingly well understood, comparatively little effort has been devoted to understanding the everyday reality of carrying out an agent-based development project. As a result, agent system developers needlessly repeat the same mistakes. At best, this wastes resources; at worst, projects fail. The authors identify the main pitfalls awaiting the agent system developer and recommend ways to avoid or rectify them where possible.
217 citations
TL;DR: In this article, a distributed leader-follower control algorithm for linear multi-agent systems based on output regulation theory and internal model principle is presented, where a leader is followed as an exosystem and the identical agents can track an active leader with different dynamics and unmeasurable variables.
Abstract: SUMMARY
In this paper, distributed leader–follower control algorithms are presented for linear multi-agent systems based on output regulation theory and internal model principle. By treating a leader to be followed as an exosystem, the proposed framework can be used to generalize existing multi-agent coordination solutions to allow the identical agents to track an active leader with different dynamics and unmeasurable variables. Moreover, the obtained results for multi-agent coordination control are an extension of previous work on centralized and decentralized output regulation to a distributed control context. Necessary and sufficient conditions for the distributed output regulation problem are given. Finally, distributed output regulation of some classes of multi-agent systems with switching interconnection topologies are discussed via both static and dynamic feedback. Copyright © 2011 John Wiley & Sons, Ltd.
217 citations
19 Jul 2004
TL;DR: A conceptual, formal and engineering framework based on the notion of coordination artifact is proposed, which aims at generally systematising implicit communication and environment-based coordination for heterogeneous, possibly intelligent agents.
Abstract: Direct interaction and explicit communication are not always the best approaches for achieving coherent systemic behaviour in the context of Multi-Agent Systems (MAS). This is evident when taking into account recent approaches dealing with environment-based coordination such as stigmergy and, more generally, mediated interaction. In this paper we propose a conceptual, formal and engineering framework based on the notion of coordination artifact, which aims at generally systematising implicit communication and environment-based coordination for heterogeneous, possibly intelligent agents. The features and benefits of our approach are exemplified in the Follow-me situation, where an agentýs action/plan is considered as a model for the action/plan of other agents. We model this class of problems in terms of coordination artifacts, from simple to more challenging cases, stressing the advantages with respect to more "standard" MAS approaches.
216 citations
TL;DR: A decentralized approach for anticipatory vehicle routing that is particularly useful in large-scale dynamic environments that is based on delegate multiagent systems, i.e., an environment-centric coordination mechanism that is, in part, inspired by ant behavior.
Abstract: Advanced vehicle guidance systems use real-time traffic information to route traffic and to avoid congestion. Unfortunately, these systems can only react upon the presence of traffic jams and not to prevent the creation of unnecessary congestion. Anticipatory vehicle routing is promising in that respect, because this approach allows directing vehicle routing by accounting for traffic forecast information. This paper presents a decentralized approach for anticipatory vehicle routing that is particularly useful in large-scale dynamic environments. The approach is based on delegate multiagent systems, i.e., an environment-centric coordination mechanism that is, in part, inspired by ant behavior. Antlike agents explore the environment on behalf of vehicles and detect a congestion forecast, allowing vehicles to reroute. The approach is explained in depth and is evaluated by comparison with three alternative routing strategies. The experiments are done in simulation of a real-world traffic environment. The experiments indicate a considerable performance gain compared with the most advanced strategy under test, i.e., a traffic-message-channel-based routing strategy.
216 citations