TY - BOOK AU - Bai,Quan AU - Ren,Fenghui AU - Zhang,Minjie AU - Ito,Takayuki AU - Tang,Xijin ED - SpringerLink (Online service) TI - Smart Modeling and Simulation for Complex Systems: Practice and Theory T2 - Studies in Computational Intelligence, SN - 9784431552093 AV - QA76.9.M35 U1 - 620 23 PY - 2015/// CY - Tokyo PB - Springer Japan, Imprint: Springer KW - engineering KW - computers KW - Artificial intelligence KW - Computational Intelligence KW - Complexity, Computational KW - Economic sociology KW - Engineering KW - Complexity KW - Artificial Intelligence (incl. Robotics) KW - Information Systems and Communication Service KW - Organizational Studies, Economic Sociology N1 - 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 N2 - 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 UR - http://dx.doi.org/10.1007/978-4-431-55209-3 ER -