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Animating Cognitive Models and Architectures: A Rule-Based Approach

13 pagesPublished: September 29, 2016

Abstract

Computational psychology provides computational models exploring different aspects of cognition. A cognitive architecture includes the basic aspects of any cognitive agent. It consists of different correlated modules. In general, cognitive architectures provide the needed layouts for building intelligent agents. The paper presents the a rule-based approach to visually animate the simulations of models done through cognitive architectures. As a proof of concept, simulations through Adaptive Control of Thought-Rational (ACT-R) were animated. ACT-R is a well-known cognitive architecture. It was deployed to create models in different fields including, among others, learning, problem solving and languages.

Keyphrases: ACT-R, cognitive architecture, cognitive model, Constraint Handling Rules

In: Christoph Benzmüller, Geoff Sutcliffe and Raul Rojas (editors). GCAI 2016. 2nd Global Conference on Artificial Intelligence, vol 41, pages 253--265

Links:
BibTeX entry
@inproceedings{GCAI2016:Animating_Cognitive_Models_and,
  author    = {Nada Sharaf and Slim Abdennadher and Thom Fruehwirth and Daniel Gall},
  title     = {Animating Cognitive Models and Architectures: A Rule-Based Approach},
  booktitle = {GCAI 2016. 2nd Global Conference on Artificial Intelligence},
  editor    = {Christoph Benzm\textbackslash{}"uller and Geoff Sutcliffe and Raul Rojas},
  series    = {EPiC Series in Computing},
  volume    = {41},
  pages     = {253--265},
  year      = {2016},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {https://easychair.org/publications/paper/877},
  doi       = {10.29007/wjwz}}
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