Journal article
Integrating analogical mapping and general problem solving: the path-mapping theory
Cognitive science, v 25(1), pp 67-110
01 Jan 2001
Abstract
This article describes the path-mapping theory of how humans integrate analogical mapping and general problem solving. The theory posits that humans represent analogs with declarative roles, map analogs by lower-level retrieval of analogous role paths, and coordinate mappings with higher-level organizational knowledge. Implemented in the ACT-R cognitive architecture, the path-mapping theory enables models of analogical mapping behavior to incorporate and interface with other problem-solving knowledge. Path-mapping models thus can include task-specific skills such as encoding analogs or generating responses, and can make behavioral predictions at the level of real-world metrics such as latency or correctness. We show that the path-mapping theory can successfully account for the major phenomena addressed by previous theories of analogy. We also describe a path-mapping model that can account for subjects’ incremental eye-movement and typing behavior in a story-mapping task. We discuss extensions and implications of this work to other areas of analogy and problem-solving research.
Metrics
Details
- Title
- Integrating analogical mapping and general problem solving: the path-mapping theory
- Creators
- Dario D. Salvucci - Carnegie Mellon UniversityJohn R. Anderson - Carnegie Mellon University, Pittsburgh, PA, USA
- Publication Details
- Cognitive science, v 25(1), pp 67-110
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Computer Science (Computing)
- Web of Science ID
- WOS:000167158400004
- Scopus ID
- 2-s2.0-0035740370
- Other Identifier
- 991021868996504721
InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Psychology, Experimental