Five software platforms for scientific agent-based models (ABMs) were reviewed by implementing example models in each. NetLogo is the highest-level platform, providing a simple yet powerful programming language, built-in graphical interfaces, and comprehensive documentation. It is designed primarily for ABMs of mobile individuals with local interactions in a grid space, but not necessarily clum...

In recent years the study of complex systems gained prominence. Since it is usually difficult to use classical mathematic models to understand these systems, scientists and engineers have to resort to simulations. Currently programming languages like CUDA C and OpenCL are available to run large scale simulations on a GPU architecture. Alternatively simulations can be executed on agent-based sim...

Fuzzy Logic is a framework particularly useful to formalise and deal with imprecise concepts and statements expressed in natural language. This paper has three related aims: 1. To provide a short introduction to the basics of Fuzzy Logic within the context of social simulation. 2. To present and disseminate a well-documented NetLogo extension that facilitates the use of Fuzzy Logic within NetLo...

In this paper we have compared two independent models implemented to analyze the effects of social information transmission. The first of them, Repage, is centered on an articulated theory of social evaluations. The second system, that has been developed in NetLogo, follows the same specifications of the Repage model but with several simplifications. We implemented the second model to confirm t...

Customer’s trust is the key element for mobile commerce's success. The formation and development of customer trust is an evolutionary process, which is effected by merchants’ characteristics and their behaviors, customers themselves and the interaction between them. This research analyzes how to achieve the status of ESS with the effect of various factors on consumer trust based on evolutionary...

In this paper we present SinCity, a pedagogical testbed to compare multi-agent learning strategies. SinCity has been developed in NetLogo and it can be considered as an extension of the simple predator-prey pursuit problem. In our case, we model a police/thief pursuit in an urban grid environment where several elements (cars, traffic lights, etc.) may interact with the agents in the simulation....

Decision making processes during biological incident management represent challenging and demanding as well as complex and important task. Various principles such as partial differential equations or Markov chains have been already utilized for the model development. Nevertheless, the multi-agent technologies can be also effectively employed. As an example, this paper presents model utilizable ...

In the field of agent-based modeling (ABM), visualizations play a key role in conveying, identifying and understanding the relevant behaviors of a model. However, few toolkits provide modelers graphic tools and visual cues for the design of efficient and communicative visualizations. In this paper, we review some technologies in the NetLogo ABM toolkit that improves its design of model visualiz...

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...

Agent-based modeling is a new technique for understanding how the dynamics of biological, social, and other complex systems arise from the characteristics and behaviors of the agents making up these systems. This innovative textbook gives students and scientists the skills to design, implement, and analyze agent-based models. It starts with the fundamentals of modeling and provides an introduct...