Emergent intelligence of networked agents

The study of intelligence emerged from interactions among agents has been popular. In this study it is recognized that a network structure of the agents plays an important role. The current state-of-the art in agent-based modeling tends to be a mass of agents that have a series of states that they c...

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Detalles Bibliográficos
Autor principal: Namatame, Akira
Otros Autores: Kurihara, Satoshi (Editor ), Nakashima, Hideyuki (Editor , Director de publicación), Namatame, Akira, 1950- (Director de publicación), Kurihara, Satoshi, 19..- (Director de publicación)
Formato: Livre numérique
Lenguaje:Anglais
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edición:1st ed. 2007.
Colección:Studies in Computational Intelligence 56
Acceso en línea:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Emergent Intelligence of Networked Agents, Texte imprimé, 9783540710738
• Emergent Intelligence of Networked Agents, Texte imprimé, 9783642090141
• Emergent Intelligence of Networked Agents, Texte imprimé, 9783540835783
• Emergent Intelligence of Networked Agents, Texte imprimé, 9783540710738
Tabla de Contenidos:
  • Incremental Development of Networked Intelligence in Flocking Behavior Emergence and Software development Based on a Survey of Emergence Definitions The Impact of Network Model on Performance of Load-balancing Auction-Based Resource Reservation Game in Small World Navigational Information as Emergent Intelligence of Spontaneously Structuring Web Space From Agents to Communities: A Meta-model for Community Computing in Multi-Agent System The effects of market structure on a heterogeneous evolving population of traders Analysis on Transport Networks of Railway, Subway and Waterbus in Japan Network Design via Flow Optimization Gibbs measures for the network Extracting Users' Interests of Web-watching Behaviors Based on Site-Keyword Graph Topological aspects of protein networks Collective Intelligence of Networked Agents Using an agent based simulation to evaluate scenarios in customers' buying behaviour How to Form Stable and Robust Network Structure through Agent Learning from the viewpoint of a resource sharing problem An Evolutionary Rulebase Based Multi-agents System Improvements in Performance of Large-Scale Multi-Agent Systems Based on the Adaptive/ Non-Adaptive Agent Selection Effect of grouping on classroom communities Emergence and Evolution of Coalitions in Buyer-Seller Networks