Results 241 to 250 of about 12,747,172 (293)

Adaptive connectivity control in networked multi-agent systems: A distributed approach. [PDF]

PLoS One
Križmančić M, Bogdan S.
europepmc   +1 more source

A framework for establishing shared, task-oriented understanding in hybrid open multi-agent systems. [PDF]

Front Artif Intell
Kondylidis N, Tiddi I, Ten Teije A.
europepmc   +1 more source

Editorial: Decision-making and planning for multi-agent systems. [PDF]

Front Robot AI
Tsiotras P, Gombolay M, Foerster J.
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Bipartite Fault-Tolerant Consensus Control for Multi-Agent Systems with a Leader of Unknown Input Under a Signed Digraph. [PDF]

Sensors (Basel)
Liu A, Zhang W, Yue D, Chen C, Shi J.
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Distributed Broadcast Control of Multi-Agent Systems Using Hierarchical Coordination. [PDF]

Biomimetics (Basel)
Hasan M, Saifullah MK, Kamal MAS, Yamada K.   +3 more
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Securing consensus in fractional-order multi-agent systems: Algebraic approaches against Byzantine attacks. [PDF]

Heliyon
Zhong Y, Khan A, Javeed MA, Raza H, Hassan WU, Niazi AUK, Mehmood MU.   +6 more
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Stability of multi-agent systems

SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483), 2004
This work attempts to shed light on the fundamental concepts behind the stability of multi-agent systems. We view the system as a discrete time Markov chain with a potentially unknown transitional probability distribution. The system will be considered to be stable when its state has converged to an equilibrium distribution.
Maria Chli, Philippe De Wilde, Jan Goossenaerts, Vladimir Abramov, Nick B. Szirbik, Luís Correia 0001, Pedro Mariano, Rita Almeida Ribeiro   +7 more
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Modeling multi-agent systems

Communications of the ACM, 2007
Emerging from a paradigm different from objects, the modeling of agents requires its own conceptual frameworks, modeling languages, and methodologies.
Viviane Torres da Silva, Carlos José Pereira de Lucena   +1 more
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Evolutionary Multi-agent Systems

2004
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evolve multiple elements that together form a whole, by using a separate population for each element.
't Hoen, P. J., de Jong, E.D.
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The SEWASIE Multi-agent System

2005
Data integration, in the context of the web, faces new problems, due in particular to the heterogeneity of sources, to the fragmentation of the information and to the absence of a unique way to structure, and view information. In such areas, the traditional paradigms on which database foundations are based (i.e.
Sonia Bergamaschi, Pablo R. Fillottrani, Gionata Gelati   +2 more
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