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Generating Magical Performances with Constraint Programming (Short Paper)

Author Guilherme de Azevedo Silveira

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Guilherme de Azevedo Silveira
  • Alura, São Paulo, Brazil

Acknowledgements

We thank Daniela Mikyung Song for assistance providing the card designs and illustrations.

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Guilherme de Azevedo Silveira. Generating Magical Performances with Constraint Programming (Short Paper). In 27th International Conference on Principles and Practice of Constraint Programming (CP 2021). Leibniz International Proceedings in Informatics (LIPIcs), Volume 210, pp. 10:1-10:13, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021) https://doi.org/10.4230/LIPIcs.CP.2021.10

Abstract

Professional magicians employ the use of interesting properties of a deck of cards to create magical effects. These properties were traditionally discovered through trial and error, the application of heuristics or analytical proofs. We discuss the limitations of relying on humans for such methods and present how professional magicians can use constraint programming as a computer-aided design tool to search for desired properties in a deck of cards. Furthermore, we implement a solution in Python making use of generative magic to design a new effect, demonstrating how this process broadens the level of freedom a magician can decree to their volunteers while retaining control of the outcomes of the magic. Finally, we demonstrate the model can be easily adapted to multiple languages.

Subject Classification

ACM Subject Classification
  • Applied computing → Computer-aided design
  • Theory of computation → Constraint and logic programming
Keywords
  • Constraint
  • generative design
  • computer aided design
  • constraint programming
  • generative magic
  • magical performance

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