Towards a context- and scope-sensitive analysis for specifying agent behaviour

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. © Springer-Verlag Berlin Heidelberg 2014.