Constraints in Cognitive Architectures

@inproceedings{Taatgen2008ConstraintsIC,
  title={Constraints in Cognitive Architectures},
  author={Niels Anne Taatgen and John R. Anderson},
  year={2008}
}
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46 Citations
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46 Citations

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References

SHOWING 1-10 OF 54 REFERENCES

Unified Theories of Cognition

Introduction The Nature of Theories What Are Unified Theories of Cognition? Is Psychology Ready for Unified Theories? The Task of the Book Foundations of Cognitive Science Behaving Systems Knowledge…

A tutorial on Clarion

  • Technical report Cognitive Science Department,
  • 2003

A computational theory of executive cognitive processes and multiple-task performance: Part 1. Basic mechanisms.

A new theoretical framework, executive-process interactive control (EPIC), is introduced for characterizing human performance of concurrent perceptual-motor and cognitive tasks. On the basis of EPIC,…

An integrated theory of the mind.

The perceptual-motor modules, the goal module, and the declarative memory module are presented as examples of specialized systems in ACT-R, which consists of multiple modules that are integrated to produce coherent cognition.

The Problem of Expensive Chunks and its Solution by Restricting Expressiveness

This article establishes that expensive chunks exist and analyzes their causes and proposes a solution based on the notion of restricting the expressiveness of the representational language to guarantee that the chunks formed will require only a limited amount of accessing effort.

The Adaptive Character of Thought

Is Human Cognition Rational?

On the Relationship between Task Performance and Associated Verbalizable Knowledge

Three experiments explore the relationship between performance on a cognitive task and the explicit or reportable knowledge associated with that performance (assessed here by written post-task…

Models of Working Memory: Modeling Working Memory in a Unified Architecture: An ACT-R Perspective

Language, Memory, and Thought

Modeling dual-task performance improvement: Casting executive process knowledge acquisition as strategy refinement

...