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Knowledge Representation with Python Dictionaries

# Example of representing knowledge using a dictionary in Python knowledge_base = { "Semantic Networks": ["Concepts", "Relations"], "Frames": { "Car": { "Attributes": ["Color", "Model", "Year"], "Actions": ["Drive", "Stop", "Park"] }, "Person": { "Attributes": ["Name", "Age", "Occupation"], "Actions": ["Walk", "Talk", "Eat"] } }, "Ontologies": { "Animal": { "Subclasses": ["Mammal", "Reptile", "Bird"] }, "Bird": { "Attributes": ["Feathers", "Beak", "Wings"] } } } # Accessing information about Frames car_attributes = knowledge_base["Frames"]["Car"]["Attributes"] print("Attributes of a Car:", car_attributes)

This code demonstrates a simplified representation of knowledge using a nested dictionary in Python, focusing on Semantic Networks, Frames, and Ontologies concepts within Knowledge Representation.

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