@inproceedings{c01b31dd6f8b42938061b154322cb5fb,
title = "Computational understanding and manipulation of symmetries",
abstract = "![CDATA[For natural and artificial systems with some symmetry structure, computational understanding and manipulation can be achieved without learning by exploiting the algebraic structure. This algebraic coordinatization is based on a hierarchical (de)composition method. Here we describe this method and apply it to permutation puzzles. Coordinatization yields a structural understanding, not just solutions for the puzzles. In the case of the Rubik{\textquoteright}s Cubes, different solving strategies correspond to different decompositions.]]",
keywords = "Rubik's Cube, algebra, artificial intelligence, decomposition (mathematics), symmetry",
author = "Attila Egri-Nagy and Nehaniv, {Chrystopher L.}",
year = "2015",
doi = "10.1007/978-3-319-14803-8_2",
language = "English",
isbn = "9783319148021",
publisher = "Springer",
pages = "17--30",
booktitle = "Artificial Life and Computational Intelligence: First Australasian Conference, ACALCI 2015, Newcastle, NSW, Australia, February 5-7, 2015: Proceedings",
note = "ACALCI (Conference) ; Conference date: 05-02-2015",
}