Ropossum: An Authoring Tool for Designing, Optimizing and Solving Cut the Rope Levels

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{DBLP:conf/aiide/ShakerST13a,

• author = "Mohammad Shaker and Noor Shaker and Julian Togelius",
• title = "Ropossum: An Authoring Tool for Designing, Optimizing and Solving Cut the Rope Levels",
• booktitle = "Proceedings of the Ninth {AAAI} Conference on Artificial Intelligence and Interactive Digital Entertainment, AIIDE-13",
• year = "2013",
• editor = "Gita Sukthankar and Ian Horswill",
• pages = "215--216",
• address = "Boston, Massachusetts, USA",
• month = oct # " 14-18",
• publisher = "AAAI",
• keywords = "genetic algorithms, genetic programming, grammatical evolution",
• URL = "http://www.aaai.org/ocs/index.php/AIIDE/AIIDE13/paper/view/7402",
• URL = "https://www.aaai.org/ocs/index.php/AIIDE/AIIDE13/paper/view/7402/7615.pdf",
• timestamp = "Mon, 16 Dec 2013 15:22:28 +0100",
• biburl = "https://dblp.org/rec/conf/aiide/ShakerST13a.bib",
• bibsource = "dblp computer science bibliography, https://dblp.org",
• size = "2 pages",
• abstract = "We present a demonstration of Ropossum, an authoring tool for the generation and testing of levels of the physics-based game, Cut the Rope. Ropossum integrates many features: (1) automatic design of complete solvable content, (2) incorporation of designers input through the creation of complete or partial designs, (3) automatic check for playability and (4) optimization of a given design based on playability. The system includes a physics engine to simulate the game and an evolutionary framework to evolve content as well as an AI reasoning agent to check for playability. The system is optimised to allow on-line feedback and realtime interaction.",

}

Genetic Programming entries for Mohammad Shaker Noor Shaker Julian Togelius

Citations