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Increasing efficiency and quality in the automatic composition of three-move mate problems

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dc.citedby6
dc.contributor.authorIqbal A.en_US
dc.contributor.authorid14012935800en_US
dc.date.accessioned2023-12-29T07:47:53Z
dc.date.available2023-12-29T07:47:53Z
dc.date.issued2011
dc.description.abstractIn this article, we demonstrate the use of composing 'experience' in the form of piece location probability values derived from a database of matein- 3 chess problems. This approach was compared against a 'random' one. Comparisons were made using 'experiences' derived from three different databases, i.e. problems by human composers (HC), computer-generated compositions that used the HC experience (CG), and mating 'combinations' taken from tournament games between humans (TG). Each showed a reasonable and statistically significant increase in efficiency compared to the random one but not each other. Aesthetically, the HC and CG were better than the others. The results suggest that composing efficiency and quality can be improved using simple probability information derived from human compositions, and unexpectedly even from the computer-generated compositions that result. Additionally, these improvements come at a very low computational cost. They can be used to further aid and entertain human players and composers. � 2011 Springer-Verlag.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-3-642-24500-8_20
dc.identifier.epage197
dc.identifier.scopus2-s2.0-82055175080
dc.identifier.spage186
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-82055175080&doi=10.1007%2f978-3-642-24500-8_20&partnerID=40&md5=d2a7320b8f0158e7ae6074f36adb1033
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/30441
dc.identifier.volume6972 LNCS
dc.pagecount11
dc.relation.ispartofAll Open Access; Bronze Open Access; Green Open Access
dc.sourceScopus
dc.sourcetitleLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.subjectaesthetics
dc.subjectArtificial intelligence
dc.subjectchess
dc.subjectcomposition
dc.subjectefficiency
dc.subjectexperience
dc.subjectprobability
dc.subjectArtificial intelligence
dc.subjectChemical analysis
dc.subjectProbability
dc.subjectArtificial intelligence
dc.subjectChemical analysis
dc.subjectEfficiency
dc.subjectProbability
dc.subjectaesthetics
dc.subjectAutomatic composition
dc.subjectchess
dc.subjectComputational costs
dc.subjectexperience
dc.subjectHuman players
dc.subjectProbability informations
dc.subjectAesthetics
dc.subjectAutomatic composition
dc.subjectChess
dc.subjectComputational costs
dc.subjectComputer generated
dc.subjectExperience
dc.subjectHuman players
dc.subjectProbability informations
dc.subjectEfficiency
dc.subjectComputer games
dc.titleIncreasing efficiency and quality in the automatic composition of three-move mate problemsen_US
dc.typeConference paperen_US
dspace.entity.typePublication
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