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--- public:t-720-atai:atai-19:final_project [2019/10/28 19:59] – [NARS Assignment 2: Diagnosis] thorisson
+++ public:t-720-atai:atai-19:final_project [2024/04/29 13:33] (current) – external edit 127.0.0.1
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 Make sure you have studied Xiang Li's {{/public:t-720-atai:nars-tutorial.pdf|NARS Tutorial}} notes.
-In this project, students are required to generate a car diagnostic system with OpenNARS.    The detailed car use case breaks down the object to be diagnosed, the car, according to the following diagram. In this diagram, two types of nodes exist, one denoting a component, and one denoting a ‘observation’. These nodes represent items that would be ‘sensed’ by a user of the vehicle. This list was created from the point of view of a lay user describing issues to a mechanic, and try to reflect the high level indicators that exist on common dashboards.
+In this project you will generate a diagnostic system with OpenNARS. Use the medical diagnostic example and the description about the Car diagnostic system as hints to design a diagnostic system for Cars, test it with OpenNARS. Try to come up with good alternative examples, for instance the following:
+. Different type of cars (Sedan, Sport, Truck) may have different possibility of having different problems when same symptoms show up, for instance, adults have a higher possibility to get HIV than children. If Dan has same symptom with John but Dan is a child, will Dan have same disease with John?
+. In the medical diagnostic example, default truth values (f = 1.0, c = 0.9) are attached to all the statements of John’s symptoms, if we change those statements to statements where true to the degree.
+. If we already know what disease that John has, and also some symptoms, try to generate a question to display what gender that John possibly is as well as the age group.
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