Cadence and the empirical modelling conceptual framework : a new perspective on modelling state-as-experienced
Pope, N. W. and Beynon, W. M. (2011) Cadence and the empirical modelling conceptual framework : a new perspective on modelling state-as-experienced. Coventry, UK: Department of Computer Science..Full text not available from this repository.
Official URL: http://eprints.dcs.warwick.ac.uk/1560/1/cs-rr-447....
The aspiration in Empirical Modelling (EM) is to build artefacts for sense-making ("construals") that exhibit interactive characteristics similar to those observed in the situation to which they refer. The relation between an artefact and its referent is established through constructing a close correspondence between dependencies, observables and instances of agent action. Specifically, different kinds of agent interaction with the referent have counterparts in the model that are recognisably congruent in that they disclose similar dependencies between observables. The full elaboration of this notion lies beyond the scope of this paper - it has been a central theme of the EM project as documented at www.dcs.warwick.ac.uk/modelling. A crucial aspect of the approach is the emphasis that is placed upon the experiential nature of the correspondence between an artefact and its referent. This represents a radical departure from the conventional functional and operational manner in which a computer program is interpreted. It means that the interpretation of an artefact is open and fluid. For instance, it is subject to evolve over time (e.g. "facility in recognising dependencies can be learned"), can be dependent on the observer (e.g. "relationships can only be discerned if the observer isn't colour-blind"), and on the specific situation within which interaction and observation is being conducted (e.g. "whether changes to observables can be identified may depend on the level of lighting"). To date, the typical approach to EM has been to exploit modelling with definitive scripts (MWDS) as supported by the EDEN interpreter. This approach has limitations with practical and conceptual consequences. The Cadence environment, as developed by the second author, offers an alternative framework - as yet less thoroughly explored - for supporting EM. This report discusses the impact that Cadence has had in exposing problematic ways in which MWDS has biased the conception and practice of EM, and the extent to which developing Cadence can help to redress this bias.
|Subjects:||Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software|
|Divisions:||Faculty of Science > Computer Science|
|Publisher:||Department of Computer Science|
|Place of Publication:||Coventry, UK|
|Number of Pages:||31|
|Institution:||University of Warwick|
|Theses Department:||Department of Computer Science|
|Status:||Not Peer Reviewed|
|Access rights to Published version:||Open Access|
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