Smart Modeling and Simulation for Complex Systems

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.

Provides the state of the art on research in smart modeling and simulation Each chapter is based on a selected high-quality paper from the international workshop on Smart Simulation and Modelling for Complex Systems (SSMCS), which was held in conjunction with the International Joint Conference on Artificial Intelligence (IJCAI), one of the top conferences for computer science and artificial intelligence Written by the leading experts in the fields of computer science and artificial intelligence

Inhalt
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.