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A Computational Method of Optimizing Chess Compositions to Enhance Aesthetic Appeal

Aesthetic appeals; Chess; Esthetic; Expert assessment; Human expert; Method; Optimisations; Positive changes; Problem compositions; Computational methods

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Bibliographic Details
Main Author: Iqbal A.
Other Authors: 14012935800
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-259962023-05-29T17:05:58Z A Computational Method of Optimizing Chess Compositions to Enhance Aesthetic Appeal Iqbal A. 14012935800 Aesthetic appeals; Chess; Esthetic; Expert assessment; Human expert; Method; Optimisations; Positive changes; Problem compositions; Computational methods Chess compositions are typically positions set up with a stipulation, e.g., 'White to Play and Mate in 3'. They are also usually challenging, educational or possess some aesthetic appeal. In this article, a computational method of optimizing compositions is presented that can help improve them, primarily in terms of aesthetics as described by the conventions of problem composition. This is useful in automatic chess composition, which is fairly new in artificial intelligence (AI) and still a largely open area of research. The method involves seven aspects, namely 1) removing pieces, 2) swapping white pieces for weaker ones, 3) swapping black pieces for stronger ones, 4) moving the white king to avoid check, 5) looking for a shorter mate, 6) moving the white king closer to the other pieces, and 7) preventing major black pieces from being en prise (capturable). All of these are applied in order and together whilst preserving the original solution as much as possible. The effectiveness of the method is demonstrated using examples (before and after optimization) illustrating the positive changes to the positions. Human expert assessment is also shown to be comparable in outcome. This method can therefore be used to automatically improve, in general, the aesthetic appeal of compositions to a significant or noticeable degree. � 2021 IEEE. Final 2023-05-29T09:05:58Z 2023-05-29T09:05:58Z 2021 Conference Paper 10.1109/AiDAS53897.2021.9574145 2-s2.0-85119004773 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119004773&doi=10.1109%2fAiDAS53897.2021.9574145&partnerID=40&md5=edc84b4b65acdc2508c2f2ef28b16b31 https://irepository.uniten.edu.my/handle/123456789/25996 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Aesthetic appeals; Chess; Esthetic; Expert assessment; Human expert; Method; Optimisations; Positive changes; Problem compositions; Computational methods
author2 14012935800
author_facet 14012935800
Iqbal A.
format Conference Paper
author Iqbal A.
spellingShingle Iqbal A.
A Computational Method of Optimizing Chess Compositions to Enhance Aesthetic Appeal
author_sort Iqbal A.
title A Computational Method of Optimizing Chess Compositions to Enhance Aesthetic Appeal
title_short A Computational Method of Optimizing Chess Compositions to Enhance Aesthetic Appeal
title_full A Computational Method of Optimizing Chess Compositions to Enhance Aesthetic Appeal
title_fullStr A Computational Method of Optimizing Chess Compositions to Enhance Aesthetic Appeal
title_full_unstemmed A Computational Method of Optimizing Chess Compositions to Enhance Aesthetic Appeal
title_sort computational method of optimizing chess compositions to enhance aesthetic appeal
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806428032322240512
score 13.214268

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