Multi-agent and Complex Systems

This book provides a description of advanced multi-agent and artificial intelligence technologies for the modeling and simulation of complex systems, as well as an overview of the latest scientific efforts in this field. A complex system features a large number of interacting components, whose aggre...

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Další autoři: Bai, Quan (Editor)
Ren, Fenghui (Editor)
Fujita, Katsuhide (Editor)
Zhang, Minjie (Editor)
Ito, Takayuki (Editor)
Korporace: SpringerLink (online služba)  
Médium: E-kniha
Jazyk:angličtina
Vydáno: Singapore : Springer Singapore, 2017
Edice:Studies in Computational Intelligence
Žánr/forma:elektronické knihy
ISBN:978-981-10-2564-8
9789811025631
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On-line přístup:Plný text
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245 1 0 |a Multi-agent and Complex Systems /  |c edited by Quan Bai, Fenghui Ren, Katsuhide Fujita, Minjie Zhang, Takayuki Ito 
264 1 |a Singapore :  |b Springer Singapore,  |c 2017 
300 |a 1 online zdroj (VIII, 210 stran) :  |b 73 ilustrací, 43 barevných ilustrací 
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490 1 |a Studies in Computational Intelligence,  |x 1860-949X ;  |v 670 
505 0 |a 1.Adaptive Forwarder Selection for Distributed Wireless Sensor Networks -- 2.Trust Transference on Social Exchanges among Triads of Agents Based on Dependence Relations and Reputation -- 3.A Multiagent-Based Domain Transportation Approach for Optimal Resource Allocation in Emergency Management -- 4.A proto-type of a portable ad hoc simple water gauge and real world evaluation -- 5.Exploiting Vagueness for Multi-Agent Consensus 6.Selecting Robust Strategies Based on Abstracted Game Models -- 7.Simulating and Modeling Dual Market Segmentation Using PSA Framework -- 8.CORPNET: Towards a Decision Support System for Organizational Network Analysis using Multiplex Interpersonal Relations -- 9.Membership Function Based Matching Approach of Buyers and Sellers Through a Broker in Open E-Marketplace -- 10.The Effect of Assertiveness and Empathy on Heider's Balance Theory for Friendship Network Models information on submission -- 11.Associative Memory-based Approach to Multi-task Reinforcement Learning under Stochastic Environments -- 12.Preliminary Estimating Method of Opponent's Preferences using Simple Weighted Functions for Multi-lateral Closed Multi-issue Negotiations -- 13.Multi-Objective Nurse Rerostering Problem -- 14.Preference Aware Influence Maximization -- 15.Norm Emergence through Collective Learning and Information Diffusion in Complex Relationship Networks -- 16.Agent-Based Computation of Decomposition Games with Application in Software Requirements Decomposition 
520 |a This book provides a description of advanced multi-agent and artificial intelligence technologies for the modeling and simulation of complex systems, as well as an overview of the latest scientific efforts in this field. A complex system features a large number of interacting components, whose aggregate activities are nonlinear and self-organized. A multi-agent system is a group or society of agents which interact with others cooperatively and/or competitively in order to reach their individual or common goals. Multi-agent systems are suitable for modeling and simulation of complex systems, which is difficult to accomplish using traditional computational approaches 
659 0 |a Engineering 
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659 0 |a Computational intelligence 
659 0 |a Complexity, Computational 
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