Name
Abstract | ||
|---|---|---|
Designing games can involve long waiting periods between design phases in order to get feedback from game testers playing the game. In this work we propose a genre agnostic framework for design, using search techniques from artificial intelligence to generate player traces. We evaluate our framework by presenting three very different games that are sent to the tool and which give relevant design information. This approach greatly accelerates the design process.
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Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/GAS.2015.9 | GAS@ICSE |
Keywords | Field | DocType |
game genre agnostic framework,game design,feedback,search techniques,artificial intelligence | Game programming,Combinatorial game theory,Video game design,Game mechanics,Video game development,Game art design,Computer science,Game design,Game Developer,Multimedia | Conference |
ISBN | Citations | PageRank |
978-1-4503-4160-8 | 0 | 0.34 |
References | Authors | |
4 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jonathan Tremblay | 1 | 73 | 10.97 |
| Clark Verbrugge | 2 | 411 | 39.15 |