System Development and Data Structure - كتاب الذكاء الإصطناعي - الصف 12 - الفصل 1 - المملكة العربية السعودية

الإصدار 3في الإصدار الثالث، ستزيد من ذكاء النظام القائم على القواعد بمنحه إمكانية الوصول إلى نوع مفصل من قاعدة المعرفة. هذا النوع الجديد يأخذ بعين الاعتبار الحقيقة الطبية التي تقول: إن بعض الأعراض تكون أكثر شيوعًا من أخرى للمرض نفسه.symptom_mapping_file = 'symptom_mapping_v3.json'with open(symptom_mapping_file) as f: mapping=json.load(f)print(json.dumps(mapping, indent=2)){ "diseases": { "covid19": { "very common": [ "fever", "tiredness", "cough" ], "less common": [ "headache", "sore throat" ] }, "common cold": { "very common": [ "stuffy nose", "runny nose", "sneezing", "sore throat" ], "less common": [ "cough" ] }, "flu": { "very common": [ "fever", "headache", "tiredness", "sore throat", "cough" ], "less common": [ "stuffy nose", "sneezing", "runny nose" ] }, "allergies": { "very common": [ "stuffy nose", "sneezing", "runny nose" ], "less common": [ "headache", "tiredness", "cough" ] } } }2023 - 1447--- VISUAL CONTEXT --- **DIAGRAM**: Python Code Snippet for JSON Loading Description: A Python code block demonstrating how to open and load a JSON file named 'symptom_mapping_v3.json' into a 'mapping' variable, and then print its content formatted with an indent of 2. Key Values: symptom_mapping_file = 'symptom_mapping_v3.json', with open(symptom_mapping_file) as f:, mapping=json.load(f), print(json.dumps(mapping, indent=2)) Context: Illustrates the programmatic interaction with a JSON knowledge base, as described in the accompanying text about system intelligence.**DIAGRAM**: Symptom Mapping JSON Data Structure Description: A JSON object representing a knowledge base for diseases and their associated symptoms, categorized into 'very common' and 'less common'. It includes data for 'covid19', 'common cold', 'flu', and 'allergies'. The data is presented in two columns. Data: The JSON structure contains a top-level key 'diseases', which holds objects for individual diseases. Each disease object has 'very common' and 'less common' arrays, listing symptoms as strings. For example, 'covid19' has 'fever', 'tiredness', 'cough' as very common symptoms, and 'headache', 'sore throat' as less common. 'Flu' has a more extensive list of very common symptoms including 'fever', 'headache', 'tiredness', 'sore throat', 'cough', and 'stuffy nose', 'sneezing', 'runny nose' as less common. 'Allergies' also lists 'stuffy nose', 'sneezing', 'runny nose' as very common and 'headache', 'tiredness', 'cough' as less common. Key Values: diseases, covid19, very common, fever, tiredness, cough, less common, headache, sore throat, common cold, stuffy nose, runny nose, sneezing, sore throat, cough, flu, fever, headache, tiredness, sore throat, cough, stuffy nose, sneezing, runny nose, allergies, stuffy nose, sneezing, runny nose, headache, tiredness, cough Context: Provides a concrete example of a structured knowledge base that can be used by a rule-based system to enhance its intelligence by considering symptom commonality for different diseases.