uu.seUppsala University Publications
Change search
ReferencesLink to record
Permanent link

Direct link
Fast and Frugal Use of Cue Direction in States of Limited Knowledge
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Psychology.
2000 (English)In: Proceedings of the Twenty-Second Annual Conference of the Cognitive Science Society / [ed] Lila R. Gleitman and Aravind K. Joshi, 2000, 841-846 p.Conference paper (Other academic)
Abstract [en]

An exemplar-based algorithm, PROBEX, (Juslin & Persson,1999) is shown to make robust decisions in multiple-cue inferencetasks when very few exemplars are known. We demonstratethe crucial role of knowledge of cue directions forperformance and confront PROBEX with an artificial environmentspecifically construed to favor a non-compensatoryalgorithm like Take The Best (Gigerenzer & Goldstein, 1996).PROBEX is demonstrated to perform well even in these unfavorableconditions. The explanation for the robust performanceis that PROBEX approximates Dawes Rule by using informationof the cue directions for all cues, while yet makingfew a priori assumptions about the structure of the environment.

Place, publisher, year, edition, pages
2000. 841-846 p.
National Category
Social Sciences Medical and Health Sciences
URN: urn:nbn:se:uu:diva-90825ISBN: 0-8058-3581-4OAI: oai:DiVA.org:uu-90825DiVA: diva2:163308
Twenty-Second Annual Conference of the Cognitive Science Society, August 13-15, 2000, Philadelphia, Pennsylvania
Available from: 2003-09-11 Created: 2003-09-11 Last updated: 2013-05-30Bibliographically approved
In thesis
1. Bounded Rationality and Exemplar Models
Open this publication in new window or tab >>Bounded Rationality and Exemplar Models
2003 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Bounded rationality is the study of how human cognition with limited capacity is adapted to handle the complex information structures in the environment. This thesis argues that in order to understand the bounded rationality of decision processes, it is necessary to develop decision theories that are computational process models based upon basic cognitive and perceptual mechanisms. The main goal of this thesis is to show that models of perceptual categorization based on the storage of exemplars and retrieval of similar exemplars whenever a new object is encountered (D. L. Medin & M. M. Schaffer, 1978), can be an important contribution to theories of decision making. Study I proposed, PROBEX (PROBabilities from Exemplars), a model for inferences from generic knowledge. It is a “lazy” algorithm that presumes no pre-computed abstractions. In a computer simulation it was found to be a powerful decision strategy, and it was possible to fit the model to human data in a psychologically plausible way. Study II was a theoretical investigation that found that PROBEX was very robust in conditions where the decision maker has very little information, and that it worked well even under the worst circumstances. Study III empirically tested if humans can learn to use exemplar based or one reason decision making strategies (G. Gigerenzer, P. Todd, & the ABC Research Group, 1999) where it is appropriate in a two-alternative choice task. Experiment 1 used cue structure and presentation format as independent variables, and participants easily used one reason strategies if the decision task presented the information as normal text. The participants were only able to use exemplars if they were presented as short strings of letters. Experiment 2 failed to accelerate learning of exemplar use during the decision phase, by prior exposure to exemplars in a similar task. In conclusion, this thesis supports that there are at least two modes of decision making, which are boundedly rational if they are used in the appropriate context. Exemplar strategies may, contrary to study II, only be used late in learning, and the conditions for learning need to be investigated further.

Place, publisher, year, edition, pages
Uppsala: Acta Universitatis Upsaliensis, 2003. 48 p.
Comprehensive Summaries of Uppsala Dissertations from the Faculty of Social Sciences, ISSN 0282-7492 ; 131
Psychology, PROBEX, Lazy Algorithm, Probabilistic Inference, Decision Making, Bounded Rationality, Ecological Rationality, Take The Best, exemplar models, correspondence, Psykologi
National Category
Research subject
urn:nbn:se:uu:diva-3572 (URN)91-554-5733-9 (ISBN)
Public defence
2003-10-02, Lärosal IV, Universitetshuset, Uppsala, 13:15
Available from: 2003-09-11 Created: 2003-09-11Bibliographically approved

Open Access in DiVA

No full text

By organisation
Department of Psychology
Social SciencesMedical and Health Sciences

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 220 hits
ReferencesLink to record
Permanent link

Direct link