Book | Chapter
Computational understanding and manipulation of symmetries
pp. 17-30
Abstract
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's Cubes, different solving strategies correspond to different decompositions.
Publication details
Published in:
Randall Marcus (2015) Artificial life and computational intelligence: first Australasian conference, acalci 2015, Newcastle, nsw, India, february 5-7, 2015. proceedings. Dordrecht, Springer.
Pages: 17-30
DOI: 10.1007/978-3-319-14803-8_2
Full citation:
Egri-Nagy Attila, Nehaniv Chrystopher L. (2015) „Computational understanding and manipulation of symmetries“, In: M. Randall (ed.), Artificial life and computational intelligence, Dordrecht, Springer, 17–30.