Abstract
We introduce a new abstract graph game, SWAP PLANARITY, where the goal is to reach a state without edge intersections and a move consists of swapping the locations of two vertices connected by an edge. We analyze this puzzle game using concepts from graph theory and graph drawing, computational geometry, and complexity. Furthermore, we specify what good levels look like and we show how they can be generated. We also report on experiments that show how well the generation works.
Original language | English |
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Title of host publication | Proceedings of the 2018 IEEE Conference on Computational Intelligence and Games (CIG 2018) |
Place of Publication | Piscataway |
Publisher | Institute of Electrical and Electronics Engineers |
Number of pages | 8 |
ISBN (Electronic) | 978-1-5386-4359-4 |
DOIs | |
Publication status | Published - 2018 |
Event | 2018 IEEE Conference on Computational Intelligence and Games (CIG) - Maastricht, Netherlands, Maastricht, Netherlands Duration: 14 Aug 2018 → 17 Aug 2018 |
Conference
Conference | 2018 IEEE Conference on Computational Intelligence and Games (CIG) |
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Country/Territory | Netherlands |
City | Maastricht |
Period | 14/08/18 → 17/08/18 |
Keywords
- Graphs
- Instance generation
- Planarity
- Puzzle complexity
- Puzzle games