Pitako -- Recommending Game Design Elements in Cicero
July 08, 2019 Β· Declared Dead Β· π 2019 IEEE Conference on Games (CoG)
"No code URL or promise found in abstract"
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Authors
Tiago Machado, Dan Gopstein, Andy Nealen, Julian Togelius
arXiv ID
1907.03877
Category
cs.HC: Human-Computer Interaction
Cross-listed
cs.AI,
cs.IR
Citations
20
Venue
2019 IEEE Conference on Games (CoG)
Last Checked
4 months ago
Abstract
Recommender Systems are widely and successfully applied in e-commerce. Could they be used for design? In this paper, we introduce Pitako1, a tool that applies the Recommender System concept to assist humans in creative tasks. More specifically, Pitako provides suggestions by taking games designed by humans as inputs, and recommends mechanics and dynamics as outputs. Pitako is implemented as a new system within the mixed-initiative AI-based Game Design Assistant, Cicero. This paper discusses the motivation behind the implementation of Pitako as well as its technical details and presents usage examples. We believe that Pitako can influence the use of recommender systems to help humans in their daily tasks.
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