Bai Q., Ren F., Zhang M., Ito X., Tang X. (Eds.) Smart Modeling and Simulation for Complex Systems: Practice and Theory

Springer, Japan, 2015. — 151 p. — (Studies in Computational Intelligence. Volume 564) — ISBN: 9784431552086Computer based modeling and simulation have become useful tools to facilitate humans to understand systems in different domains, such as physics, chemistry, biology, economics, engineering and social science. A complex system is featured with a large number of interacting components, whose aggregate activities are nonlinear and self-organized. Complex systems are hard to be simulated or modeled by using traditional computational approaches due to the complex relationships of components and distributed features of resources, and dynamic work environments.
Meanwhile, smart systems such as multi-agent systems have demonstrated advantages and great potentials in modeling and simulating complex systems. This bookconstitutes extendedversions of selected papers from the international workshop on Smart Simulation and Modeling for Complex Systems (SSMCS’13) in IJCAI’13, which was held in Beijing, China, in August 2013.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