Thus, this paper and the tools included in it can make the endeavour of translating social theories into computer programs easier and also more rigorous.įog computing could potentially cause the next paradigm shift by extending cloud services to the edge of the network, bringing resources closer to the end-user. the significance of the fact that different people may have different interpretations of the same concept). They can also facilitate the exploration of the effect that heterogeneity in concept interpretations may have in a society (i.e. For example, they can assist in the process of analysing the robustness of a certain social theory expressed in natural language to different specifications of the imprecise concepts that the theory may contain (such as e.g. We argue that Fuzzy Logic and the tools provided here can be useful in Social Simulation in different ways. Finally, by providing a concrete example, it shows how researchers can use the Fuzzy Logic extension to build agent-based models in which individual agents hold their own fuzzy concepts and use their own fuzzy rules, which may also change over time. Secondly, it presents a well-documented NetLogo extension that facilitates the use of Fuzzy Logic within NetLogo.

First, it aims to provide a short introduction to the basics of Fuzzy Logic within the context of social simulation. Fuzzy Logic is a framework particularly useful to formalise and deal with imprecise concepts and statements expressed in natural language.

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