Cognitive models of prediction as decision AIDS

Christian Lebiere, Don Morrison, Tarek Abdelzaher, Shaohan Hu, Cleotilde Gonzalez, Norbou Buchler, Vladislav D. Veksler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We consider the use of cognitive models as both models of human cognitive function and human-compatible decision aids. The domain of application is prediction based on partial information in the context of emergency events where the availability and timeliness of information is limited. The cognitive model is based on the memory retrieval processes of the ACT-R cognitive architecture, most specifically its underpinnings in the rational analysis of cognition. The model is shown to capture well the temporal and spatial characteristics of the data. Finally, we discuss potential issues in the application of cognitive models as decision aids and recommender systems, in particular the ability to introspect in the workings of the model to select data most suitable for the human decision making process.

Original languageEnglish (US)
Title of host publicationProceedings of ICCM 2016 - 14th International Conference on Cognitive Modeling
EditorsDavid Reitter, Frank E. Ritter
PublisherThe Pennsylvania State University
Pages33-38
Number of pages6
ISBN (Electronic)9780998508207
StatePublished - 2016
Event14th International Conference on Cognitive Modeling, ICCM 2016 - University Park, United States
Duration: Aug 3 2016Aug 6 2016

Publication series

NameProceedings of ICCM 2016 - 14th International Conference on Cognitive Modeling

Conference

Conference14th International Conference on Cognitive Modeling, ICCM 2016
CountryUnited States
CityUniversity Park
Period8/3/168/6/16

Keywords

  • Cognitive Architecture
  • Decision Aids
  • Decision Making
  • Long-Term Memory
  • Rational Analysis
  • Recommender Systems

ASJC Scopus subject areas

  • Artificial Intelligence
  • Modeling and Simulation

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