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Computer Assisted Reasoning as a Support for Knowledge Management
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013).ORCID-id: 0000-0003-3461-7079
2014 (engelsk)Inngår i: ECKM 2014 - Proceedings og the 15th European Conference on Knowledge Management: Polytechnic Institute of Santarem Portugal 4-5 September 2014 / [ed] Vivas, C. & Sequeira, P., Academic Conferences Limited, 2014, Vol. 3, s. 377-385Konferansepaper, Publicerat paper (Fagfellevurdert)
sted, utgiver, år, opplag, sider
Academic Conferences Limited, 2014. Vol. 3, s. 377-385
Serie
PROCEEDINGS OF THE 15TH EUROPEAN CONFERENCE ON KNOWLEDGE MANAGEMENT, ISSN 2048-8963
Emneord [en]
reasoning; versioning; GATM; decision-making; messy problems; cognition
HSV kategori
Forskningsprogram
Datavetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-40976ISI: 000351503500045ISBN: 978-1-63439-536-6 (tryckt)OAI: oai:DiVA.org:kau-40976DiVA, id: diva2:909301
Konferanse
ECKM 2014 The 15th European Conference on Knowledge Management, Santarem, Portugal, 4-5 September 2014
Merknad

When making decisions concerning complex issues multiple interests often need to be balanced, and there are a number of complex arguments weighing in opposite directions. The arguments may differ in their type, for example being based on generally acknowledged facts, more vague presumptions, or be individual value judgments. From a knowledge management (KM) perspective, the ability to track the reasoning process of individuals may provide additional benefit, and add an additional tool to the KM tool-box. This paper evaluates two different aspects of computer assisted reasoning relevant in the context of KM, and elaborates on potential solutions. One aspect considers the transfer of computer assisted reasoning information between individuals. The ability to understand and internalize the underlying argumentation structure resulting from reasoning about complex issues is different for each individual. The limits of ability for an individual can be both in relation to an inappropriate level and amount of detail in the presentation of information, as well as in the structuring of the information. To this end, the model considers information presentation at multiple levels of detail so that the information recipient can tailor the level of detail to the individual pre-existing knowledge and conditions. The second aspect concerns the iterative argument and counter-argument evolution that occurs in complex deliberations. Lending ideas from software development source control systems, the use of semi-automatic versioning of the reasoning build-up phase is considered, thus creating not only a record of how the reasoning was manifested at a particular point in time, but also an annotated trail of the evolution taking place to get to that point. The newly proposed Generalized Argumentation, Type, and Modifier (GATM) model is considered as a way to structure reasoning of complex issues in scalable way, with the objective of providing a foundation for reasoning representation and visualization in a manner that can make the most of the human cognitive abilities. In summary, this paper highlights the benefit of employing computer assisted reasoning for KM, especially in relation to decision-making for problems having some of the characteristics of messy, wicked, or ill-structured problems.

Tilgjengelig fra: 2016-03-05 Laget: 2016-03-05 Sist oppdatert: 2019-10-16bibliografisk kontrollert

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