Limitations of choice-based interactive evolution for game level design

Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/29596

Title:	Limitations of choice-based interactive evolution for game level design
Authors:	Liapis, Antonios Yannakakis, Georgios N. Togelius, Julian
Keywords:	Human-computer interaction Artificial intelligence Stochastic control theory Computer games -- Design
Issue Date:	2012
Publisher:	Association for the Advancement of Artificial Intelligence
Citation:	Liapis, A., Yannakakis, G. N., & Togelius, J. (2012). Limitations of choice-based interactive evolution for game level design. 8th AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, Stanford. 213-220.
Abstract:	This paper presents a tool geared towards the collaboration of a human and an artificial designer for the creation of game content. The framework combines procedural content generation using stochastic search with user input in the form of an initial goal statement as well as preference of generated results. Feedback from industry experts in a pilot user experiment showcased the limitations of this approach and the protocol chosen for evaluating the authoring tool. The limitations are discussed with respect to the suitability of interactive evolution for creative design and the design of experimental protocols for evaluating authoring tools for games.
URI:	https://www.um.edu.mt/library/oar//handle/123456789/29596
ISBN:	9781577355885
Appears in Collections:	Scholarly Works - InsDG

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