Evaluating sketch-based retrieval speed-up for behaviour design in soccerbots. Flórez-Puga, G., Díaz-Agudo, B., & González-Calero, P. In FLAIRS 2013 - Proceedings of the 26th International Florida Artificial Intelligence Research Society Conference, pages 369-374, 2013. abstract bibtex 20 downloads Sketch-based retrieval is a technique that supports the design of behaviour for game characters by reusing previously designed behaviours. Most techniques for specifying behaviour for game characters use some kind of graph-based formalism to represent such behaviour. Through graph-matching techniques, sketch-based retrieval allows to use any intermediate graph generated along the design process, a sketch of the final behaviour, as a query to retrieve similar behaviours from a library of complete behaviours. In this paper we describe the design and results from an experiment designed to measure to what extent having a library of reusable behaviours accessed through sketch-based retrieval can speed-up the behaviour design process in the Soccerbots game. Copyright © 2013, Association for the Advancement of Artificial Intelligence. All rights reserved.
@inproceedings{
title = {Evaluating sketch-based retrieval speed-up for behaviour design in soccerbots},
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abstract = {Sketch-based retrieval is a technique that supports the design of behaviour for game characters by reusing previously designed behaviours. Most techniques for specifying behaviour for game characters use some kind of graph-based formalism to represent such behaviour. Through graph-matching techniques, sketch-based retrieval allows to use any intermediate graph generated along the design process, a sketch of the final behaviour, as a query to retrieve similar behaviours from a library of complete behaviours. In this paper we describe the design and results from an experiment designed to measure to what extent having a library of reusable behaviours accessed through sketch-based retrieval can speed-up the behaviour design process in the Soccerbots game. Copyright © 2013, Association for the Advancement of Artificial Intelligence. All rights reserved.},
bibtype = {inproceedings},
author = {Flórez-Puga, G. and Díaz-Agudo, B. and González-Calero, P.},
booktitle = {FLAIRS 2013 - Proceedings of the 26th International Florida Artificial Intelligence Research Society Conference}
}
Downloads: 20
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