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.
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.
Quan BaiAuckland University of TechnologyFenghui RenUniversity of WollongongMinjie ZhangUniversity of WollongongTakayuki ItoNagoya Institute of TechnologyKatsuhide FujitaTokyo University of Agriculture and Technology
