Constraints on Analogical Mapping: A Comparison of Three Models

@article{Keane1994ConstraintsOA,
  title={Constraints on Analogical Mapping: A Comparison of Three Models},
  author={Mark T. Keane},
  journal={Cogn. Sci.},
  year={1994},
  volume={18},
  pages={387-438}
}
Three theories of analogy have been proposed that are supported by computational models and data from experiments on human analogical abilities. In this article we show how these theories can be unified within a common metatheoretical framework that distinguishes among levels of informational, behavioral, and hardware constraints. This framework clarifies the distinctions among three computational models in the literature: the Analogical Constraint Mapping Engine (ACME), the Structure-Mapping… 

Figures and Tables from this paper

Pragmatics in Analogical Mapping
TLDR
The qualitative pattern of results was successfully simulated using the ACME model, implementing the impact of processing goals as an inhibitory process of selective attention.
Two Ways of Analogy: Extending the Study of Analogies to Mathematical Domains*
The structure‐mapping theory has become the de facto standard account of analogies in cognitive science and philosophy of science. In this paper I propose a distinction between two kinds of domains
Modeling Analogical Problem Solving in a Production System Architecture
We propose an approach to developing models of analogical reasoning within production system architectures. Though existing theories of analogy have succeeded in capturing many aspects of analogical
On Order Effects in Analogical Mapping: Predicting Human Error Using IAM
TLDR
In this paper, the predictions of this model are tested in two experiments and it is shown that order effects can be demonstrated for doubles in relational-mapping problems, and best approximated by IAM's measure of the complexity of global mappings (the remaps-complexity measure).
How analogies are generated: The roles of structural and superficial similarity
TLDR
It is concluded that people can use structural relations when given an appropriate task and that this ability has been underestimated in previous research on analogy.
On Adaptation in Analogy: Tests of Pragmatic Importance and Adaptability in Analogical Problem Solving
TLDR
It is suggested that if a mapped solution can be adapted easily to a problem, then it will be preferred over an alternative mapping that is less adaptable, and most models need to be extended to include adaptation constraints.
Distributed representations of structure: A theory of analogical access and mapping.
TLDR
An integrated theory of analogical access and mapping, instantiated in a computational model called LISA (Learning and Inference with Schemas and Analogies), suggesting that the architecture of LISA can provide computational explanations of properties of the human cognitive architecture.
HOW ANALOGY COULD FORCE RE-REPRESENTATION OF THE TARGET AND INHIBITION OF AN ALTERNATIVE
The representation-building and the analogical mapping processes run in parallel in the AMBR model and thus they can influence each other. This paper describes how the AMBR model could explain the
Relating relations as a functional-analytic model of analogy and metaphor
TLDR
The current study presents a functional-analytic model of analogy and metaphor that has been developed during the last fifteen years and is represented by the behavior of relating relations, which has shown relevant data about its external validity.
Deconstructing analogy
TLDR
This paper deconstructs several cognitive models of analogy in terms of the simplification-strategies they use and considers whether any of these computational simplifications reflect the actual strategies used by people and sketches a new cognitive model that tries to present a closer fit to the psychological evidence.
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 70 REFERENCES
Analogical Processing: A Simulation and Empirical Corroboration
TLDR
This paper compares the performance of the Structure-Mapping Engine (SME), a cognitive simulation of analogy, with two aspects of human performance, and demonstrates that SME replicates these results.
On drawing analogies when solving problems: A theory and test of solution generation in an analogical problem‐solving task
Three criticisms are made of present theories of analogy: (a) that they fail to model the process of object identification; (b) that, in the case of story analogues, the solution statement part may
Analogical Mapping by Constraint Satisfaction
TLDR
A theory of analogical mapping between source and target analogs based upon interacting structural, semantic, and pragmatic constraints is proposed here and is able to account for empirical findings regarding the impact of consistency and similarity on human processing of analogies.
Schema induction and analogical transfer
Systematicity and Surface Similarity in the Development of Analogy
TLDR
The results show that given a systematic story, 9-year-alds could transfer it accurately regardless of the transparency of the object correspondence, and for the older group, there was also a strong effect of systematicity and an interaction between the two variables.
Analogical transfer, problem similarity, and expertise.
  • L. R. Novick
  • Education
    Journal of experimental psychology. Learning, memory, and cognition
  • 1988
TLDR
A framework for conceptualizing analogical problem solving is proposed that can account for the conflicting findings in the literature and leads to two predictions concerning the transfer behavior of experts and novices.
Mathematical problem solving by analogy.
TLDR
It is obtained direct evidence that schema induction is a natural consequence of analogical transfer, and the schema was found to co-exist with the problems from which it was induced, and both the schema and the individual problems facilitated later transfer.
An Examination of the Third Stage in the Analogy Process: Verification-based Analogical Learning
TLDR
A theory of Verification-Based Analogical Learning is presented which addresses the tenuous nature of analogically inferred concepts and describes procedures that can be used to increase confidence in the inferred knowledge.
Analogical problem solving
...
1
2
3
4
5
...