Combination: automated generation of puzzles with constraints

C. Jefferson, W. Moncur, K.E. Petrie

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)

Abstract

Constraint Programming offers a powerful means of solving a wide variety of combinatorial problems. We have used this powerful paradigm to create a successful computer game called Combination. Combination is an application for the iPhone and iPod touch. It has been on sale internationally through the iTunes store since December, 2008 and received a number of positive reviews. In this paper we explain how all the levels of Combination were generated, checked for correctness and rated for difficulty completely automatically through the use of constraints. We go on to evaluate this method of creation with the use of a human evaluation. This showed that fun, immersing computer games can be created with constraint programming.
Original languageEnglish
Title of host publicationSAC '11
Subtitle of host publicationProceedings of the 2011 ACM Symposium on Applied Computing
Pages907-912
Number of pages6
DOIs
Publication statusPublished - 1 Mar 2011

Keywords

  • constraint programming
  • combinatorial problems
  • mathematics of computing

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  • Cite this

    Jefferson, C., Moncur, W., & Petrie, K. E. (2011). Combination: automated generation of puzzles with constraints. In SAC '11: Proceedings of the 2011 ACM Symposium on Applied Computing (pp. 907-912) https://doi.org/10.1145/1982185.1982383