05173nam 22007455 450 991025434370332120200701001328.0981-10-2564-910.1007/978-981-10-2564-8(CKB)3710000001006466(DE-He213)978-981-10-2564-8(MiAaPQ)EBC6302300(MiAaPQ)EBC5578386(Au-PeEL)EBL5578386(OCoLC)964657178(PPN)197137598(EXLCZ)99371000000100646620161115d2017 u| 0engurnn|008mamaatxtrdacontentcrdamediacrrdacarrierMulti-agent and Complex Systems /edited by Quan Bai, Fenghui Ren, Katsuhide Fujita, Minjie Zhang, Takayuki Ito1st ed. 2017.Singapore :Springer Singapore :Imprint: Springer,2017.1 online resource (VIII, 210 p. 73 illus., 43 illus. in color.) Studies in Computational Intelligence,1860-949X ;670981-10-2563-0 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.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.Studies in Computational Intelligence,1860-949X ;670Computational complexityArtificial intelligenceComputational intelligenceComputersEconomic sociologyComplexityhttps://scigraph.springernature.com/ontologies/product-market-codes/T11022Artificial Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/I21000Computational Intelligencehttps://scigraph.springernature.com/ontologies/product-market-codes/T11014Information Systems and Communication Servicehttps://scigraph.springernature.com/ontologies/product-market-codes/I18008Organizational Studies, Economic Sociologyhttps://scigraph.springernature.com/ontologies/product-market-codes/X22020Computational complexity.Artificial intelligence.Computational intelligence.Computers.Economic sociology.Complexity.Artificial Intelligence.Computational Intelligence.Information Systems and Communication Service.Organizational Studies, Economic Sociology.006.3Bai Quanedthttp://id.loc.gov/vocabulary/relators/edtRen Fenghuiedthttp://id.loc.gov/vocabulary/relators/edtFujita Katsuhideedthttp://id.loc.gov/vocabulary/relators/edtZhang Minjieedthttp://id.loc.gov/vocabulary/relators/edtIto Takayukiedthttp://id.loc.gov/vocabulary/relators/edtMiAaPQMiAaPQMiAaPQBOOK9910254343703321Multi-agent and Complex Systems2273103UNINA