Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Record number 406441
Title Analysis of quantitative profiles of GI education: towards an analytical basis for EduMapping
Author(s) Rip, F.I.; Grinias, E.; Kotzinos, D.
Source In: Advancing Geoinformation Science for a Changing World / Geertman, S., Reinhardt, W., Toppen, F., Berlin Heidelberg : Springer Verlag (Lecture Notes in Geoinformation and Cartography 1) - ISBN 9783642197888 - p. 443 - 459.
Department(s) Laboratory of Geo-information Science and Remote Sensing
Publication type Peer reviewed book chapter
Publication year 2011
Abstract Agent-oriented models are used in organization and information system modelling for providing intentional descriptions of processes as a network of relationships among actors. As such, they capture and represent goals, dependencies, intentions, beliefs, alternatives, etc., which appear in several contexts: business process reengineering, information system development, etc. In this paper, we are interested in the definition of a framework for the analysis of the properties that these models exhibit. Indicators and metrics for these properties are defined in terms of the model elements (e.g., actors, dependencies, scenario paths, etc.) Our approach is basically quantitative in nature, which allows defining indicators and metrics that can be reused in many contexts. However, a qualitative component can be introduced if trustable expert knowledge is available; the extent up to which quantitative and qualitative aspects are intertwined can be determined in every single case. We apply our proposal to the i* notation and we take as main case study a highly-intentional property, predictability of model elements
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