Innovations in multi-agent systems and applications. 1

This book provides an overview of multi-agent systems and several applications that have been developed for real-world problems. Multi-agent systems is an area of distributed artificial intelligence that emphasizes the joint behaviors of agents with some degree of autonomy and the complexities arisi...

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Đã lưu trong:
Chi tiết về thư mục
Tác giả chính: Srinivasan, Dipti
Tác giả khác: Srinivasan, Dipti, 19..- (Giám đốc xuất bản), Jain, Lakhmi C., 1946- (Giám đốc xuất bản)
Định dạng: Livre numérique
Ngôn ngữ:Anglais
Được phát hành: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Phiên bản:1st ed. 2010.
Loạt:Studies in Computational Intelligence 310
Truy cập trực tuyến:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Chú thích: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• Innovations in Multi-Agent Systems and Applications - 1, Texte imprimé, 9783642264351
• Innovations in Multi-Agent Systems and Applications - 1, Texte imprimé, 9783642144349
• Innovations in Multi-Agent Systems and Applications - 1, Texte imprimé, 9783642144363
• Innovations in Multi-Agent Systems and Application - 1, Texte imprimé, 9783642264351
• Innovations in Multi-Agent Systems and Application - 1, Texte imprimé, 9783642144349
• Innovations in Multi-Agent Systems and Application - 1, Texte imprimé, 9783642144363
Mục lục:
  • An Introduction to Multi-Agent Systems Hybrid Multi-Agent Systems A Framework for Coordinated Control of Multi-Agent Systems A Use of Multi-Agent Intelligent Simulator to Measure the Dynamics of US Wholesale Power Trade: A Case Study of the California Electricity Crisis Argument Mining from RADB and Its Usage in Arguing Agents and Intelligent Tutoring System Grouping and Anti-predator Behaviors for Multi-agent Systems Based on Reinforcement Learning Scheme Multi-agent Reinforcement Learning: An Overview Multi-Agent Technology for Fault Tolerant and Flexible Control Timing Agent Interactions for Efficient Agent-Based Simulation of Socio-Technical Systems Group-Oriented Service Provisioning in Next-Generation Network.