Taatgen, Niels A. (1997) A Rational Analysis of Alternating Search and Reflection Strategies in Problem Solving. [Conference Paper]
Full text available as:
![[img]](../style/images/fileicons/application_pdf.png) |
PDF
115Kb |
Abstract
In this paper two approaches to problem solving, search and reflection, are discussed, and combined in two models, both based on rational analysis (Anderson, 1990). The first model is a dynamic growth model, which shows that alternating search and reflection is a rational strategy. The second model is a model in ACT-R, which can discover and revise strategies to solve simple problems. Both models exhibit the explore-insight pattern normally attributed to insight problem solving.
| Item Type: | Conference Paper |
|---|---|
| Keywords: | problem solving, insight theory, dynamical systems, ACT-R, cognitive modelling, architectures of cognition, reversal-shift learning, learning |
| Subjects: | Psychology > Cognitive Psychology Computer Science > Dynamical Systems Computer Science > Machine Learning Psychology > Developmental Psychology |
| ID Code: | 684 |
| Deposited By: | Taatgen, Niels |
| Deposited On: | 15 Jun 1998 |
| Last Modified: | 11 Mar 2011 08:54 |
Metadata
- ASCII Citation
- Atom
- BibTeX
- Dublin Core
- EP3 XML
- EPrints Application Profile (experimental)
- EndNote
- HTML Citation
- ID Plus Text Citation
- JSON
- METS
- MODS
- MPEG-21 DIDL
- OpenURL ContextObject
- OpenURL ContextObject in Span
- RDF+N-Triples
- RDF+N3
- RDF+XML
- Refer
- Reference Manager
- Search Data Dump
- Simple Metadata
- YAML
Repository Staff Only: item control page
