Accountable modeling in ACT-UP, a scalable, rapid-prototyping ACT-R implementation

David Reitter, Christian Lebiere

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

14 Scopus citations

Abstract

ACT-UP is a toolbox implementation of the ACT-R cognitive architecture, aimed at allowing rapid prototyping of complex models. With ACT-UP, we propose Accountable Modeling, where the only model components that are specified are those supported by empirical evidence and part of the model's theoretical claims. ACT-UP is a library providing a programmatic interface to the classical ACT-R functionality. Implemented in a functional programming paradigm, models are reusable in other contexts. The toolbox is demonstrated using five implemented and evaluated cognitive models.

Original languageEnglish (US)
Title of host publicationProceedings of the 10th International Conference on Cognitive Modeling, ICCM 2010
Pages199-204
Number of pages6
StatePublished - 2010
Event10th International Conference on Cognitive Modeling, ICCM 2010 - Philadelphia, PA, United States
Duration: Aug 5 2010Aug 8 2010

Other

Other10th International Conference on Cognitive Modeling, ICCM 2010
CountryUnited States
CityPhiladelphia, PA
Period8/5/108/8/10

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Modeling and Simulation

Cite this

Reitter, D., & Lebiere, C. (2010). Accountable modeling in ACT-UP, a scalable, rapid-prototyping ACT-R implementation. In Proceedings of the 10th International Conference on Cognitive Modeling, ICCM 2010 (pp. 199-204)