Learning Classifier Systems as a Solver for the Abstraction and Reasoning Corpus

Author:

Coombe Cameron12ORCID,Howard David2ORCID,Browne Will1ORCID

Affiliation:

1. Queensland University of Technology, Brisbane, Australia

2. CSIRO Data61, Brisbane, Australia

Publisher

ACM

Reference28 articles.

1. Samuel Acquaviva, Yewen Pu, Marta Kryven, Theodoros Sechopoulos, Catherine Wong, Gabrielle E. Ecanow, Maxwell I. Nye, Michael Henry Tessler, and Josh Tenenbaum. 2022. Communicating Natural Programs to Humans and Machines. In NeurIPS. http://papers.nips.cc/paper_files/paper/2022/hash/182aed0379591ebd1d655b2bdc152075-Abstract-Datasets_and_Benchmarks.html

2. Neural-Guided, Bidirectional Program Search for Abstraction and Reasoning

3. Rim Assouel, Pau Rodriguez, Perouz Taslakian, David Vazquez, and Yoshua Bengio. 2022. Object-centric Compositional Imagination for Visual Abstract Reasoning. In ICLR Workshop on the Elements of Reasoning: Objects, Structure and Causality. https://openreview.net/forum?id=rCzfIruU5x5

4. A brief history of learning classifier systems: from CS-1 to XCS and its variants

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