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 the discrete-time leader-following consensus problem can be solved by proposing the distributed observer-based consensus protocol under switching topologies.
85 citations
08 May 2006
TL;DR: An OBDD-based methodology for verifying time, knowledge, and strategies in multi-agent systems specified by the formalism of interpreted systems is presented.
Abstract: We present an OBDD-based methodology for verifying time, knowledge, and strategies in multi-agent systems specified by the formalism of interpreted systems. To this end, we investigate the interpretation of ATL and epistemic formulae in various classes of interpreted systems, we present model checking algorithms and their implementation, and report experimental results.
85 citations
28 May 2012
TL;DR: This work devise an adaptive combination rule that allows agents to learn which neighbors belong to the same cluster and which other neighbors should be ignored, and enables the agents to identify their grouping and to attain improved learning and estimation performance over networks.
Abstract: Distributed processing over networks relies on in-network processing and cooperation among neighboring agents. Cooperation is beneficial when all agents share the same objective or belong to the same group. However, if agents belong to different clusters or are interested in different objectives, then cooperation can be damaging. In this work, we devise an adaptive combination rule that allows agents to learn which neighbors belong to the same cluster and which other neighbors should be ignored. In doing so, the resulting algorithm enables the agents to identify their grouping and to attain improved learning and estimation performance over networks.
85 citations
TL;DR: The Karma-Teamcore framework provides wrappers that encapsulate general teamwork reasoning and automatically generate the necessary coordination for robust execution of this abstract program.
Abstract: The Karma-Teamcore framework focuses on rapidly integrating distributed, heterogeneous agents and tasking them via an abstract team-oriented program. The framework provides wrappers that encapsulate general teamwork reasoning and automatically generate the necessary coordination for robust execution of this abstract program. We describe the Karma-Teamcore framework and present an example of its successful application, namely, the simulated evacuation of civilians stranded in a hostile area.
85 citations
TL;DR: An extensive fuzzy behavior-based architecture is proposed for the control of mobile robots in a multiagent environment that decomposes the complex multirobotic system into smaller modules of roles, behaviors and actions.
Abstract: An extensive fuzzy behavior-based architecture is proposed for the control of mobile robots in a multiagent environment. The behavior-based architecture decomposes the complex multirobotic system into smaller modules of roles, behaviors and actions. Fuzzy logic is used to implement individual behaviors, to coordinate the various behaviors, to select roles for each robot and, for robot perception, decision-making, and speed control. The architecture is implemented on a team of three soccer robots performing different roles interchangeably. The robot behaviors and roles are designed to be complementary to each other, so that a coherent team of robots exhibiting good collective behavior is obtained.
85 citations