A Symbolic-Connectionist Model of Relation Discovery
Leonidas A. A. Doumas, John E. Hummel, Keith J. Holyoak · PsycEXTRA Dataset · 2004
Relational reasoning is central in human cognition.Numerous computational models address the component processes of relational reasoning, however these models require the modeler to hand-code the vocabulary of relations on which the model operates.The acquisition of relational concepts remains poorly understood.We present a theory of relation discovery instantiated in a symbolic-connectionist model, which learns structured representations of attributes and relations from unstructured distributed representations of objects by a process of comparison, and subsequently refines these representations through a process of mapping-based schema induction.