Publication | Closed Access
GETTING AWAY FROM NUMBERS: USING QUALITATIVE OBSERVATION FOR AGENT-BASED MODELING
74
Citations
11
References
2008
Year
Artificial IntelligenceEngineeringAgent TheoryQualitative DataSocial InfluenceCommunicationFrom NumbersAgent-based SystemSocial SciencesComputational Social ScienceData ScienceQualitative Participant ObservationAgent Programming LanguageStatisticsAgent ArchitectureRadical DivisionAgent-based ModelBehavioral AgentQualitative AnalysisAutomated ReasoningSociologySurvey MethodologyData Modeling
Although in many social sciences there is a radical division between studies based on quantitative (e.g. statistical) and qualitative (e.g. ethnographic) methodologies and their associated epistemological commitments, agent-based simulation fits into neither camp, and should be capable of modelling both quantitative and qualitative data. Nevertheless, most agent-based models (ABMs) are founded on quantitative data. This paper explores some of the methodological and practical problems involved in basing an ABM on qualitative participant observation and proposes some advice for modelers.
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