• Corpus ID: 12424544

Structure-Mapping : A Theoretical Framework for Analogy

  title={Structure-Mapping : A Theoretical Framework for Analogy},
  author={Bolt Beranek},
ion Anomaly No. of No. of attributes relations mopped to mapped to target target 

Figures and Tables from this paper



Schema induction and analogical transfer

Learning Physical Domains: Toward a Theoretical Framework.

A theoretical framework is presented that is being developed in an attempt to construct a computational account of human learning of physical domains and a learning sequence for physical domains is proposed.

Are Scientific Analogies Metaphors

A theoretical approach in which complex metaphors and analogies are treated as structure-mappings between domains is presented, and a set of distinguishing structural characteristics is proposed and applied in a series of comparisons.

Flowing waters or teeming crowds: Mental models of electricity

Abstract : Analogical comparisons are commonly used in the discussion and teaching of scientific topics. This paper explores the conceptual role of analogy. We compare two position: (1) the

Planning Nets: A Representation for Formalizing Analogies and Semantic Models of Procedural Skills.

This work formalizes the concept of an analogy between procedures based on a Sacerdoti-like representation called planning nets and has an extraordinarily powerful way to explain (or teach) the underlying teleology by showing how to relate it to a sequence of intuitively understood models.

Analogical Processes in Learning

The role of analogy and procedural representation in learning is examined from several domains, including turtle geometry, kinship terms, and the learning of a computer text editor.

Features of Similarity

The metric and dimensional assumptions that underlie the geometric representation of similarity are questioned on both theoretical and empirical grounds and a set of qualitative assumptions are shown to imply the contrast model, which expresses the similarity between objects as a linear combination of the measures of their common and distinctive features.