Towards Automating Decision Aiding Through Argumentation

作者: Wassila Ouerdane , Yannis Dimopoulos , Konstantinos Liapis , Pavlos Moraitis

DOI: 10.1002/MCDA.486

关键词:

摘要: Decision aiding can be abstractly described as the process of assisting a user/client/decision maker by recommending possible courses his action. This has to able cope with incomplete and/or inconsistent information and must adapt dynamics environment in which it is carried out. Indeed, on one hand, complete about almost impossible, other provided user often affected uncertainty; may contains inconsistencies dynamically revised because various reasons. The aim this paper present model decision that amenable automation. main features approach models an iterative defeasible reasoning process, uses argumentation for capturing important aspects process. More specifically, used representing relations between cognitive artefacts are involved aiding, well modelling themselves. In artefacts, we make use notion argument schemes specify related critical questions. work reported here aims at initiating systematic study future tools. Our ambition twofold: (i) enhance support capabilities analyst explicitly accountably reasons he recommend solution (ii) (semi) automatic device handle (at least partially) dialogue user. Copyright © 2011 John Wiley & Sons, Ltd.

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