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: It is proved that, under the same topology and same prescribed leaders, a network of high-order dynamic agents is completely controllable if and only if so is anetwork of single-integrator agents.
Abstract: This paper investigates the controllability of multi-agent systems based on agreement protocols. First, for a group of single-integrator agents, the controllability is studied in a unified framework for both networks with leader-following structure and networks with undirected graph. Some new necessary/sufficient conditions for the controllability of networks of single-integrator agents are established. Second, we prove that, under the same topology and same prescribed leaders, a network of high-order dynamic agents is completely controllable if and only if so is a network of single-integrator agents. Third, how the selection of leaders and the coupling weights of graphs affect the controllability is analyzed. Finally, some numerical simulations are presented to demonstrate the effectiveness of the theoretical results.
101 citations
TL;DR: The article presents one motivation for DAA through experiments showing that the ‘best’ decision-making framework for a group of agents depends not only on the problem domain and pre-defined characteristics of the system, but also on run-time factors that can change during system operation.
Abstract: Multi-agent systems require adaptability to perform effectively in complex and dynamic environments. This article shows that agents should be able to benefit from dynamically adapting their decision-making frameworks. A decision-making framework describes the set of multi-agent decision-making interactions exercised by members of an agent group in the course of pursuing a goal or set of goals. The decision-making interaction style an agent adopts with respect to other agents influences that agent's degree of autonomy. The article introduces the capability of Dynamic Adaptive Autonomy (DAA), which allows an agent to dynamically modify its autonomy along a defined spectrum (from command-driven to consensus to locally autonomous/master) for each goal it pursues. This article presents one motivation for DAA through experiments showing that the ‘best’ decision-making framework for a group of agents depends not only on the problem domain and pre-defined characteristics of the system, but also on run-time factor...
101 citations
Journal Article•
TL;DR: This paper presents the preliminary work on implementation of norm enforcement and issues on verifiability that highly affect this enforcement, and proposes some mechanisms to be included in agent platforms in order to ease the implementation.
Abstract: There is a wide agreement on the use of norms in order to specify the expected behaviour of agents in open MAS. However, current norm formalisms focus on the declarative nature of norms. In order to be implemented, these norms should be translated into operational representations. In this paper we present our preliminary work on implementation of norm enforcement and issues on verifiability that highly affect this enforcement. We propose some mechanisms to be included in agent platforms in order to ease the implementation.
100 citations
TL;DR: This article examines how the Clarke tax could be used as an effective consensus mechanism in domains consisting of automated agents, and considers how agents can come to a consensus without needing to reveal full information about their preferences, and without need to generate alternatives prior to the voting process.
100 citations
TL;DR: A unified algorithm is presented for agents described by both discrete-time and continuous-time models through using the iterative learning approach to achieve the formation control for multi-agent systems.
100 citations