کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
387433 | 660902 | 2009 | 16 صفحه PDF | دانلود رایگان |
![عکس صفحه اول مقاله: Causal temporal constraint networks for representing temporal knowledge Causal temporal constraint networks for representing temporal knowledge](/preview/png/387433.png)
In this work we describe causal temporal constraint networks (CTCN) as a new computable model for representing temporal information and efficiently handling causality. The proposed model enables qualitative and quantitative temporal constraints to be established, introduces the representation of causal constraints, and suggests mechanisms for representing inexact temporal knowledge. The temporal handling of information is achieved by structuring the information in different interpretation contexts, linked to each other through an inference mechanism which obtains interpretations that are consistent with the original temporal information. In carrying out inferences, we take into account the temporal relationships between events, the possible inexactitude associated with the events, and the atemporal or static information which affects the interpretation pattern being considered. The proposed schema is illustrated with an application developed using the CommonKADS methodology.
Journal: Expert Systems with Applications - Volume 36, Issue 1, January 2009, Pages 27–42