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A framework to improve trust in Agent-Based Models of Human-Environment Interactions

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Abstract(s)

Agent-Based Modelling (ABM) and simulation have gained popularity in disciplines dealing with complex systems, such as urban systems. Despite the increasing number of models built by experts and users, it is not always guaranteed that one is able to replicate the basic results of a research model nor to understand it. In this paper, we raise the questions that need to be answered in order to cope with ABM specification issues. We review some of the existing solutions that have been developed. We aim to address this problem by building a framework that includes a domain specific modelling language to respond to ABM documentation concerns. We show that ideas from the Web Semantic can enhance the understanding of ABM and improve users’ trust in this kind of tools.

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Trabalho apresentado em The 3rd International Workshop on Agent-Based Modelling of Urban System, 2018, Stockholm, Sweden

Keywords

Domain ontology Geographic Information Science Agent-Based Modelling Domain Specific Modelling Language

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