Investigating the role of composition conventions in three-move mate problems
In improving the quality of their chess problems or compositions for tournaments and possibly publication in magazines, composers usually rely on 'good practice' rules which are known as 'conventions'. These might include, contain no unnecessary moves to illustrate a theme and av...
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Format: | Conference paper |
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Springer Verlag
2023
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Institution: | Universiti Tenaga Nasional |
Summary: | In improving the quality of their chess problems or compositions for tournaments and possibly publication in magazines, composers usually rely on 'good practice' rules which are known as 'conventions'. These might include, contain no unnecessary moves to illustrate a theme and avoid castling moves because it cannot be proved legal. Often, conventions are thought to increase the perceived beauty or aesthetics of a problem. We used a computer program that incorporated a previously validated computational aesthetics model to analyze three sets of compositions and one set of comparable three-move sequences taken from actual games. Each of these varied in terms of their typical adherence to conventions. We found evidence that adherence to conventions, in principle, contributes to aesthetics in chess problems - as perceived by the majority of players and composers with sufficient domain knowledge - but only to a limited degree. Furthermore, it is likely that not all conventions contribute equally to beauty and some might even have an inverse effect. These findings suggest two main things. First, composers need not concern themselves too much with conventions if their intention is simply to make their compositions appear more beautiful to most solvers and observers. Second, should they decide to adhere to conventions, they should be highly selective of the ones that appeal to their target audience, i.e. those with esoteric knowledge of the domain or 'outsiders' who likely understand beauty in chess as something quite different. � IFIP International Federation for Information Processing 2013. |
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