The progress in computer simulation tends to simulate complex systems governed by “internal models”, i.e. sophisticated activities of computing technique in real time flow. Independently of that, computer simulation needs the object-oriented programming and the agent-based paradigm for constructing “external models” of complex systems that are being designed. Thus the progress tends to use mode...

parachor based expressions (basic and mechanistic) are often used to model the experimentally observed pressure dependence of interfacial tension (ift) behaviors of complex supercritical carbon dioxide (sc-co2) and crude oil mixtures at elevated temperatures. however, such modeling requires various input data (e.g. compositions and densities of the equilibrium liquid and vapor phases, and molec...

This paper applies Agent-Based Modeling to the auto industry. The auto industry might be considered as a complicated rather than a complex system, because it is characterized by adaptation and emergence, two of the three major characteristics of complex systems [1]. Yet some characteristics residing in human could lead us to consider the auto industry as a quasi-complex system because individua...

Learners often struggle to grasp the important, central principles of complex systems, which describe how interactions between individual agents can produce complex, aggregate-level patterns. Learners have even more difficulty transferring their understanding of these principles across superficially dissimilar instantiations of the principles. Here, we provide evidence that teaching high school...

Simulation has been regarded as the third way to represent social models, alternative to other two symbol systems: the verbal argumentation and the mathematical one. Simulation can be processed by a computer and is particularly suited for complex systems, in which the aggregate behaviour is not necessarily the sum of the sincle parts. Agent Based Modelling (ABM) is for sure the most interesting...

The core problem we address in this paper is how to take a declarative conceptual representation of a complex system and produce an agent-based simulation of that model. In particular, we describe a computational technique that takes Structure-Behavior-Function models of complex systems and simulates the behavior of the modeled system in NetLogo, an agent-based programming and simulation enviro...

This paper provides insights about the behavior of chaotic complex systems, and the sensitive dependence of the system on the initial starting conditions. How much does a small change in the initial conditions of a complex system affect it in the long term? Do complex systems exhibit what is called the "Butterfly Effect"? This paper uses an agent-based modeling approach to address these questio...

This paper describes an agent-based method for modeling and simulation of the cerebellar cortex of nervous system in particular and for complex systems in general. By modular and hierarchical model design, this method allows us to enhance the system model under study without having to rebuild the whole model. We also discuss how well our agent-based method is sound for the study of these system...

In the framework of Agent-Based Complex Systems we examine dynamics that lead individuals towards spatial segregation. Such systems are constituted of numerous entities, among which local interactions create global patterns which cannot be easily related to the properties of the constituent entities. In the 70’s, Thomas C. Schelling showed that an important spatial segregation phenomenon may em...