English

Reimplementation and Reinterpretation of the Copycat Project

Artificial Intelligence 2018-11-13 v1

Abstract

We present the reinterpreted and reimplemented Copycat project, an architecture solving letter analogy domain problems. To support a flexible implementation change and rigor testing process, we propose a implementation method in DrRacket by using functional abstraction, naming system, initialization, and structural reference. Finally, benefits and limitations are analyzed for cognitive architectures along the lines of Copycat.

Cite

@article{arxiv.1811.04747,
  title  = {Reimplementation and Reinterpretation of the Copycat Project},
  author = {Hongyi Huang},
  journal= {arXiv preprint arXiv:1811.04747},
  year   = {2018}
}

Comments

14 pages, 4 figures, 2 tables. Work in progress preprint. Research project spans 2 years both within my time in Northeastern University internships and class time in Viewpoint School, thus dual affiliation is accepted by both parties. More experimental comparison results will be added when conclusive experiments are completed

R2 v1 2026-06-23T05:12:39.149Z