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04217nam a22005775i 4500 |
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978-981-10-2564-8 |
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|a 9789811025648
|9 978-981-10-2564-8
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|a 10.1007/978-981-10-2564-8
|2 doi
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|a QA76.9.M35
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|a TEC000000
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|a 620
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|a Multi-agent and Complex Systems
|h [electronic resource] /
|c edited by Quan Bai, Fenghui Ren, Katsuhide Fujita, Minjie Zhang, Takayuki Ito.
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264 |
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|a Singapore :
|b Springer Singapore :
|b Imprint: Springer,
|c 2017.
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300 |
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|a VIII, 210 p. 73 illus., 43 illus. in color.
|b online resource.
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|a text
|b txt
|2 rdacontent
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|a computer
|b c
|2 rdamedia
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|a online resource
|b cr
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|a text file
|b PDF
|2 rda
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|a Studies in Computational Intelligence,
|x 1860-949X ;
|v 670
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|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.
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|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.
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650 |
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|a Engineering.
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650 |
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|a Computers.
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|a Artificial intelligence.
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|a Computational intelligence.
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650 |
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|a Complexity, Computational.
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650 |
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|a Economic sociology.
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650 |
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4 |
|a Engineering.
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650 |
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4 |
|a Complexity.
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650 |
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4 |
|a Artificial Intelligence (incl. Robotics).
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650 |
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4 |
|a Computational Intelligence.
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650 |
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4 |
|a Information Systems and Communication Service.
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650 |
2 |
4 |
|a Organizational Studies, Economic Sociology.
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700 |
1 |
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|a Bai, Quan.
|e editor.
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700 |
1 |
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|a Ren, Fenghui.
|e editor.
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700 |
1 |
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|a Fujita, Katsuhide.
|e editor.
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700 |
1 |
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|a Zhang, Minjie.
|e editor.
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700 |
1 |
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|a Ito, Takayuki.
|e editor.
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710 |
2 |
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|a SpringerLink (Online service)
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773 |
0 |
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|t Springer eBooks
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776 |
0 |
8 |
|i Printed edition:
|z 9789811025631
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830 |
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|a Studies in Computational Intelligence,
|x 1860-949X ;
|v 670
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856 |
4 |
0 |
|u http://dx.doi.org/10.1007/978-981-10-2564-8
|z Full Text via HEAL-Link
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912 |
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|a ZDB-2-ENG
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950 |
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|a Engineering (Springer-11647)
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