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An Adaptation of the Ethnographic Decision Tree Modeling Methodology for Developing Evidence-Driven Agent-Based Models

Lucas, Pablo (2014) 'An Adaptation of the Ethnographic Decision Tree Modeling Methodology for Developing Evidence-Driven Agent-Based Models.' In: Kamiński, Bogumił and Koloch, Grzegorz, (eds.) Advances in Social Simulation. Advances in Intelligent Systems and Computing, 229 . Springer Berlin Heidelberg, Berlin, pp. 343-350. ISBN 978-3-642-39828-5

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Abstract

This paper introduces the integration of the Ethnographic Decision Tree Modelling methodology into an evidence-driven lifecycle for developing agent-based social simulations. The manuscript also highlights the development advantages of using an Ethnographic Decision Tree Model to promote accountable validation and detailed justification of how agent-based models are built. The result from this methodology is a hierarchical, tree-like structure that represents the branching and possible outcomes of the decision-making process, which can then be implemented in an agent-based model. The original methodology grounds the representation of decision-making solely on ethnographic data, yet the discussed adaptation hereby furthers that by allowing the use of survey data. As a result, the final model is a composite based on a richly descriptive dataset containing observations and reported behaviour of individuals engaged in the same activity and context. This in turn is demonstrated to serve as a useful guide for the implementation of behaviour in an social simulations and also serve as a baseline for testing.

Item Type: Book Section
Uncontrolled Keywords: methodology, evidence, qualitative, development, validation
Subjects: H Social Sciences > HF Commerce
Divisions: Faculty of Social Sciences > Essex Business School
Faculty of Social Sciences > Essex Business School > Management Science and Entrepreneurship Group
Depositing User: Users 161 not found.
Date Deposited: 17 Nov 2014 11:20
Last Modified: 19 Nov 2015 14:05
URI: http://repository.essex.ac.uk/id/eprint/11148

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