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In artificial intelligence, symbolic artificial intelligence (also known as classical artificial intelligence or logic-based artificial intelligence) [1] [2] is the term for the collection of all methods in artificial intelligence research that are based on high-level symbolic (human-readable) representations of problems, logic and search. [3]
Source domain: the conceptual domain from which we draw metaphorical expressions (e.g., love is a journey). Target domain: the conceptual domain that we try to understand (e.g., love is a journey). A mapping is the way in which a source domain tracks onto and describes aspects of the target domain. Mappings describe the mental organization of ...
Conceptual dependency theory is a model of natural language understanding used in artificial intelligence systems. Roger Schank at Stanford University introduced the model in 1969, in the early days of artificial intelligence. [ 1 ]
The term conceptual model refers to any model that is formed after a conceptualization or generalization process. [1] [2] Conceptual models are often abstractions of things in the real world, whether physical or social. Semantic studies are relevant to various stages of concept formation. Semantics is fundamentally a study of concepts, the ...