Modeling complex systems

Complex Systems Modeling

This paper addresses the simulation of the dynamics of complex systems by using hierarchical graph and multi-agent system. A complex system is composed of numerous interacting parts that can be described recursively. First we summarize the hierarchical aspect of the complex system. We then present a description of hierarchical graph as a data structure for structural modeling in parallel with d...

Complex Systems Modeling Laboratory

As previously, in FY 2014 the research conduced by the Modeling Complex Systems Laboratory as a whole can be categorized as “Complex System Science,” which is a novel interdisciplinary branch of science studding emergent phenomena met in a wide variety of systems different in nature, spanning from traditional objects of the inanimate world and technical systems up to social, economic, and ecolo...

Complex fuzzy linear systems

CBR for Modeling Complex Systems

This paper describes how CBR can be used to compare, reuse, and adapt inductive models that represent complex systems. Complex systems are not well understood and therefore require models for their manipulation and understanding. We propose an approach to address the challenges for using CBR in this context, which relate to finding similar inductive models (solutions) to represent similar compl...

Patterns in Complex Systems Modeling

The design, development, and use of complex systems models raises a unique class of challenges and potential pitfalls, many of which are commonly recurring problems. Over time, researchers gain experience in this form of modeling, choosing algorithms, techniques, and frameworks that improve the quality, confidence level, and speed of development of their models. This increasing collective exper...