Abstract
A structure for analysing narrative data is suggested, one that distinguishes three parts: context, scope and narrative elements. This structure is first motivated and then illustrated with some simple examples taken from Sukaina Bhawani’s thesis. It is hypothesised that such a structure might be helpful in preserving more of the natural meaning of such data, as well as being a good match to a context-dependent computational architecture. This structure could clearly be combined and improved by other methods, such as Grounded Theory. Finally some criteria for judging any such method are suggested.
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Edmonds, B. (2014). Towards a Context- and Scope-Sensitive Analysis for Specifying Agent Behaviour. In: Kamiński, B., Koloch, G. (eds) Advances in Social Simulation. Advances in Intelligent Systems and Computing, vol 229. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39829-2_28
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DOI: https://doi.org/10.1007/978-3-642-39829-2_28
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