Overview

This book aims to provide a description of these new Artificial Intelligence technologies and approaches to the modeling and simulation of complex systems, as well as an overview of the latest scientific efforts in this field such as the platforms and/or the software tools for smart modeling and simulating complex systems. These tasks are difficult to accomplish using traditional computational approaches due to the complex relationships of components and distributed features of resources, as well as the dynamic work environments. In order to effectively model the complex systems, intelligent technologies such as multi-agent systems and smart grids are employed to model and simulate the complex systems in the areas of ecosystem, social and economic organization, web-based grid service, transportation systems, power systems and evacuation systems.

Full Product Details

Author:   Quan Bai ,  Fenghui Ren ,  Minjie Zhang ,  Takayuki Ito
Publisher:   Springer Verlag, Japan
Imprint:   Springer Verlag, Japan
Edition:   2015 ed.
Volume:   564
Dimensions:   Width: 15.50cm , Height: 1.10cm , Length: 23.50cm
Weight:   3.962kg
ISBN:  

9784431552086

ISBN 10:   4431552081
Pages:   149
Publication Date:   16 January 2015
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

HIPRank: Ranking Nodes by Influence Propagation based on Authority and Hub.- Benefits of Generalised Microsimulation.- From Global Polarization to Local Social Mechanisms: A Study Based on ABM and Empirical Data Analysis.- Decentralised Task Allocation under Space, Time and Communication Constraints in Disaster Domains.- Describing and Evaluating Assistance using APDL.- A Relaxation Strategy with Fuzzy Constraints for Supplier Selection in a Power Market.- Idea Discovery: A Context-Awareness Dynamic System Approach for Computational Creativity.- Hierarchical Scoring Rule Based Smart Dynamic Electricity Pricing Scheme.- Evaluation of Route Assignment Method with Anticipatory Stigmergy under Distributed Processing Environment.

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