Multi-agent and Complex Systems

✍ Scribed by Quan Bai, Fenghui Ren, Katsuhide Fujita, Minjie Zhang, Takayuki Ito (eds.)

• Publisher: Springer Singapore
• Year: 2017
• Tongue: English
• Leaves: 210
• Series: Studies in Computational Intelligence 670
• Edition: 1
• Category: Library

✦ Synopsis

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.

✦ Table of Contents

Front Matter....Pages i-viii
Front Matter....Pages 1-1
Simulating and Modeling Dual Market Segmentation Using (\mathsf {PSA}) Framework....Pages 3-18
A Multiagent-Based Domain Transportation Approach for Optimal Resource Allocation in Emergency Management....Pages 19-32
(\mathsf {CORPNET}) : Towards a Decision Support System for Organizational Network Analysis Using Multiplex Interpersonal Relations....Pages 33-47
Trust Transference on Social Exchanges Among Triads of Agents Based on Dependence Relations and Reputation....Pages 49-65
Exploiting Vagueness for Multi-agent Consensus....Pages 67-78
Selecting Robust Strategies Based on Abstracted Game Models....Pages 79-93
Adaptive Forwarder Selection for Distributed Wireless Sensor Networks....Pages 95-107
Technical Challenges and Implementation of Mobile Ad-hoc Water Level Measuring System....Pages 109-121
Front Matter....Pages 123-123
Membership Function Based Matching Approach of Buyers and Sellers Through a Broker in Open E-Marketplace....Pages 125-137
Multi-objective Nurse Rerostering Problem....Pages 139-152
Preference Aware Influence Maximization....Pages 153-164
Agent-Based Computation of Decomposition Games with Application in Software Requirements Decomposition....Pages 165-179
Preliminary Estimating Method of Opponent’s Preferences Using Simple Weighted Functions for Multi-lateral Closed Multi-issue Negotiations....Pages 181-192
Collective Learning and Information Diffusion for Efficient Emergence of Social Norms....Pages 193-210

✦ Subjects

Complexity;Artificial Intelligence (incl. Robotics);Computational Intelligence;Information Systems and Communication Service;Organizational Studies, Economic Sociology