Abstract
In this paper, we explain how an existing computational aesthetics model for three-move mate problems was improved and adapted to suit the domain of chess endgame studies. Studies are typically longer and more “sophisticated” in terms of their perceived aesthetics or beauty. They are therefore likely a better test of the capability of machines to evaluate beauty in the game. Based on current validation methods for an aesthetics model such as this, the experimental results confirm that the adaptation was successful. In the first experiment, the new model enabled a computer program to distinguish correctly between composed studies and positions with sequences resembling studies taken from real games. In the second, the computational aesthetic evaluations were shown to correlate positively and well with human expert aesthetic assessment. The new model encompasses the previous three-mover one and can be used to evaluate beauty as perceived by humans in both domains. This technology pushes the boundaries of computational chess and can be of benefit to human players, composers, and judges. To some extent, it may also contribute to our understanding of the psychology of human aesthetic perception and the “mechanics” of human creativity in composing problems and studies.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: IEEE Transactions on Computational Intelligence and AI in Games
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.