Learning Concepts with a Prototype-Based Model for Concept Representation
In this research we are developing a prototype-based model for concept representation that requires the building of transformations for matching instances of a concept. This model allows us to learn concepts that could not be readily defined in previous learning systems that use logical definitions requiring necessary and sufficient conditions for specifying concept membership.
KeywordsConcept Representation Mapping Procedure Legal Concept Concept Description Logical Definition
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