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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.


Papers
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Journal ArticleDOI
01 May 2011
TL;DR: A multifaceted trust modeling approach that incorporates role-, experience-, priority-, and majority-based trust and this is able to restrict the number of reports that are received is developed, an important methodology to enable effective V2V communication via intelligent agents.
Abstract: An increasingly large number of cars are being equipped with global positioning system and Wi-Fi devices, enabling vehicle-to-vehicle (V2V) communication with the goal of providing increased passenger and road safety. This technology actuates the need for agents that assist users by intelligently processing the received information. Some of these agents might become self-interested and try to maximize car owners' utility by sending out false information. Given the dire consequences of acting on false information in this context, there is a serious need to establish trust among agents. The main goal of this paper is then to develop a framework that models the trustworthiness of the agents of other vehicles, in order to receive the most effective information. We develop a multifaceted trust modeling approach that incorporates role-, experience-, priority-, and majority-based trust and this is able to restrict the number of reports that are received. We include an algorithm that proposes how to integrate these various dimensions of trust, along with experimentation to validate the benefit of our approach, emphasizing the importance of each of the different facets that are included. The result is an important methodology to enable effective V2V communication via intelligent agents.

124 citations

Journal ArticleDOI
TL;DR: A framework for defining trading scenarios based on fish market auctions, arguing that such competitive situations constitute convenient problem domains in which to study issues related with agent architectures in general and agentdbased trading strategies in particular.
Abstract: We present a framework for defining trading scenarios based on fish market auctions. In these scenarios, trading (buyer and seller) heterogeneous (human and software) agents of arbitrary complexity participate in auctions under a collection of standardized market conditions and are evaluated against their actual market performance. We argue that such competitive situations constitute convenient problem domains in which to study issues related with agent architectures in general and agentdbased trading strategies in particular.The proposed framework, conceived and implemented as an extension of FM96.5 (a Javadbased version of the Fishmarket auction house), constitutes a testdbed for trading agents in auction tournament environments, FM97.6.Finally, we illustrate how to generate tournaments with the aid of our testdbed by defining and running a very simple tournament involving a set of rudimentary buyer agents.

124 citations

Journal ArticleDOI
TL;DR: A novel distributed multi-agent system using auctions based negotiation (DMAS/ABN) approach for resolving the resource conflicts and allocating multiple different types of shared resources amongst multiple competing projects and winner determination problem is solved by efficient new heuristic.

124 citations

Journal ArticleDOI
TL;DR: The main contribution of this paper is to extend the event-triggered control method to investigate general linear multi-agent systems to exclude Zeno behaviours of the closed-loop systems.
Abstract: This paper proposes an event-triggered control for multi-agent systems in which all agents have an identical linear dynamic mode. The asynchronous event-triggered control algorithms are proposed based on the triggering time sequences of all agents. The main contribution of this paper is to extend the event-triggered control method to investigate general linear multi-agent systems. First, by applying variable substitution method, we give the asynchronous triggering conditions. Based on the conditions, the consensus can be achieved both under fixed and switching topologies. Meanwhile, all the proposed event-triggered algorithms can exclude Zeno behaviours of the closed-loop systems. Then, the asynchronous results are applied to cope with formation control problem. Finally, numerical simulations are presented to illustrate the effectiveness of the part event-triggered protocol designs.

124 citations

Proceedings ArticleDOI
23 Dec 2010
TL;DR: This multi-agent intelligent control system with an intelligent optimizer is developed and is utilized to minimize the main conflict in smart and energy-efficient buildings in terms of power consumption and customers' comfort.
Abstract: In this paper, a new control system with an intelligent optimizer is developed which can be applied to energy and comfort management in the smart and energy-efficient buildings. Hierarchical multi-agent theory is used to build this control system, which contains agent-controllers at two levels — a central coordinator-agent at the higher level and multiple local controller-agents at the lower level. Particle Swarm Optimization (PSO) is adopted to optimize the set points of the control system during system operations. This multi-agent intelligent control system is utilized to minimize the main conflict in smart and energy-efficient buildings in terms of power consumption and customers' comfort.

124 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
2023536
20221,212
2021849
20201,098
20191,079
20181,105