Predicting causality ascriptions from background knowledge: model and experimental validation
نویسندگان
چکیده
منابع مشابه
Predicting causality ascriptions from background knowledge: model and experimental validation
A model is defined that predicts an agent’s ascriptions of causality (and related notions of facilitation and justification) between two events in a chain, based on background knowledge about the normal course of the world. Background knowledge is represented by nonmonotonic consequence relations. This enables the model to handle situations of poor information, where background knowledge is not...
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A model is defined that predicts an agent’s ascriptions of causality (and related notions of facilitation and justification) between two events in a chain, based on background knowledge about the normal course of the world. Background knowledge is represented by nonmonotonic consequence relations. This enables the model to handle situations of poor information, where background knowledge is not...
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David Lewis’s primary contribution to the theory of knowledge is his account of knowledge ascription, which integrates an elegant version of relevant alternatives theory with a detailed version of contextualism. His account is prefigured in his discussion of accommodation in “Scorekeeping in a Language Game” (1979), and forms the central topic of his “Elusive Knowledge” (1996). I will review hi...
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abstract poor reading comprehension can result in failure in using references, benefiting from professional gatherings and resources, keeping up with the growing body of knowledge in the virtual world of the internet, and failing to achieve in efl programs. the purpose of the present quasi-experimental study was to explore the effects of background knowledge and previewing narrative and expos...
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ژورنال
عنوان ژورنال: International Journal of Approximate Reasoning
سال: 2008
ISSN: 0888-613X
DOI: 10.1016/j.ijar.2007.07.003