Multi-agent and Complex Systems

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Bai, Quan (Επιμελητής έκδοσης), Ren, Fenghui (Επιμελητής έκδοσης), Fujita, Katsuhide (Επιμελητής έκδοσης), Zhang, Minjie (Επιμελητής έκδοσης), Ito, Takayuki (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2017.
• Σειρά: Studies in Computational Intelligence, 670
• Θέματα: Engineering.; Computers.; Artificial intelligence.; Computational intelligence.; Complexity, Computational.; Economic sociology.; Complexity.; Artificial Intelligence (incl. Robotics).; Computational Intelligence.; Information Systems and Communication Service.; Organizational Studies, Economic Sociology.

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...

Πίνακας περιεχομένων:

• 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.