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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Bibliographic Details
Other Authors: Bai, Quan, (Editor), Ren, Fenghui, (Editor), Fujita, Katsuhide, (Editor), Zhang, Minjie (Computer scientist), (Editor), Ito, Takayuki, 1972- (Editor)
Format: eBook
Language: English
Published: Singapore : Springer, [2016]
Series: Studies in computational intelligence ; v. 670.
Subjects:
Multiagent systems.
Artificial intelligence.
elektronické knihy
electronic books
ISBN: 9789811025648
9789811025631
Physical Description: 1 online resource (viii, 210 pages) : illustrations (some color)

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245 0 0 |a Multi-agent and complex systems /  |c Quan Bai, Fenghui Ren, Katsuhide Fujita, Minjie Zhang, Takayuki Ito, editors. 
264 1 |a Singapore :  |b Springer,  |c [2016] 
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490 1 |a Studies in computational intelligence,  |x 1860-949X ;  |v volume 670 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
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. 
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. 
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650 0 |a Artificial intelligence. 
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700 1 |a Bai, Quan,  |e editor. 
700 1 |a Ren, Fenghui,  |e editor. 
700 1 |a Fujita, Katsuhide,  |e editor. 
700 1 |a Zhang, Minjie  |c (Computer scientist),  |e editor. 
700 1 |a Ito, Takayuki,  |d 1972-  |e editor. 
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