文章基本信息

标题：ODD 2D: An ODD Based Protocol for Mapping Data to Empirical ABMs
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作者：Ahmed Laatabi ; Nicolas Marilleau ; Tri Nguyen-Huu 等
期刊名称：Journal of Artificial Societies and Social Simulation
印刷版ISSN：1460-7425
出版年度：2018
卷号：21
期号：2
页码：1-24
DOI：10.18564/jasss.3646
出版社：University of Surrey, Department of Sociology
摘要：The quantity of data and processes used in modeling projects has been dramatically increasing in recent years due to the progress in computation capability and to the popularity of new approaches such as open data. Modelers face an increasing diiculty in analyzing and modeling complex systems that consist of many heterogeneous entities. Adapting existing models is relevant to avoid dealing with the complexity of writing and studying a new model from scratch. ODD (Overview, Design concepts, Details) protocol has emerged as a solution to document Agent-Based Models (ABMs). It appears to be a convenient solution to address significant problems such as comprehension, replication, and dissemination. However, it lacks a standard that formalizes the use of data in empirical models. This paper tackles this issue by proposing a set of rules that outline the use of empirical data inside an ABM. We call this new protocol ODD 2D (ODD Decision Data). ODD 2D integrates a mapping diagram called DAMap (Data to Agent Mapping). This mapping model formalizes how data are processed and mapped to agent-based models. In this paper, we focus on the architecture of ODD 2D, and we illustrate it with a residential mobility model in Marrakesh.
关键词：Empirical Agent-Based Models; ODD protocol; ODD 2D; Mapping; Data analysis; Social simulation