• Corpus ID: 16246658

Understanding ACT-R - an Outsider's Perspective

@article{Whitehill2013UnderstandingA,
  title={Understanding ACT-R - an Outsider's Perspective},
  author={Jacob Whitehill},
  journal={ArXiv},
  year={2013},
  volume={abs/1306.0125}
}
The ACT-R theory of cognition developed by John Anderson and colleagues endeavors to explain how humans recall chunks of information and how they solve problems. ACT-R also serves as a theoretical basis for "cognitive tutors", i.e., automatic tutoring systems that help students learn mathematics, computer programming, and other subjects. The official ACT-R definition is distributed across a large body of literature spanning many articles and monographs, and hence it is difficult for an… 
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References

SHOWING 1-9 OF 9 REFERENCES

Rules of the Mind

Production Systems and the ACT-R Theory and the Identical Elements Theory of Transfer.

Memory, Emotion, and Rationality: An ACT-R interpretation for Gambling Task results

A new interpretation for the results of several experiments carried out using the Gambling Task paradigm is presented that differs from that put forward by Damasio (1994), and a perspective based on the functional integration of emotion with memory that is sympathetic with the view of the prefrontal cortex endorsed by Rolls (1999, 2000).

Practice and retention: a unifying analysis.

A model based on this equation successfully fit all the data when it was assumed that the passage of psychological time slowed after the experimental session, and was compared with other conceptions of the retention function and the relationship of the retained function to the practice function.

The Adaptive Character of Thought

Is Human Cognition Rational?

Reflections of the Environment in Memory

Availability of human memories for specific items shows reliable relationships to frequency, recency, and pattern of prior exposures to the item. These relationships have defied a systematic…

Acquisition of cognitive skill.

A framework for skill acquisition is proposed that includes two major stages in the development of a cognitive skill: a declarative stage in which facts about the skill domain are interpreted and a…

Optimizing Knowledge Component Learning Using a Dynamic Structural Model of Practice

A generalized scheme for modeling learning in simple and more complex tasks is presented, and it is shown how such a model can be applied to optimizing conditions of practice to maximize some desired performance.

Using a model to compute the optimal schedule of practice.

By balancing the spacing effect against the effects of recency and frequency, this paper explains how practice may be scheduled to maximize learning and retention. In an experiment, an optimized…

Memory

Some of the questions currently debated in the field of memory consolidation and reconsolidation, the molecular and anatomical requirements for both processes and, finally, their functional relationship are discussed.