Deriving causal explanation from qualitative model reasoning

Tang, A.Y.C. and Zain, S.M. and Rahman, N.A. and Abdullah, R. (2009) Deriving causal explanation from qualitative model reasoning. Proceedings of the World Academy of Science, Engineering And Technology, 59. pp. 29-36.

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This paper discusses a qualitative simulator QRiOM that uses Qualitative Reasoning (QR) technique, and a process-based ontology to model, simulate and explain the behaviour of selected organic reactions. Learning organic reactions requires the application of domain knowledge at intuitive level, which is difficult to be programmed using traditional approach. The main objective of QRiOM is to help learners gain a better understanding of the fundamental organic reaction concepts, and to improve their conceptual comprehension on the subject by analyzing the multiple forms of explanation generated by the software. This paper focuses on the generation of explanation based on causal theories to explicate various phenomena in the chemistry subject. QRiOM has been tested with three classes problems related to organic chemistry, with encouraging results. This paper also presents the results of preliminary evaluation of QRiOM that reveal its explanation capability and usefulness.

Item Type: Article
Uncontrolled Keywords: Artificial intelligence, explanation, ontology, organic reactions, qualitative reasoning, QPT. Q
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Computer Science & Information Technology > Department of Artificial Intelligence
Depositing User: Ms Maisarah Mohd Muksin
Date Deposited: 18 Mar 2013 02:06
Last Modified: 18 Mar 2013 02:06

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