@inproceedings{
 title = {Evaluating sketch-based retrieval speed-up for behaviour design in soccerbots},
 type = {inproceedings},
 year = {2013},
 identifiers = {[object Object]},
 pages = {369-374},
 id = {d36ae81b-b555-3835-af44-f9f755b6b781},
 created = {2018-12-19T15:53:20.620Z},
 file_attached = {false},
 profile_id = {7ff3d559-34c5-3dc7-a15e-4809d39e6685},
 group_id = {e7b2acd2-0a56-31de-a28d-2f83f0d66ab8},
 last_modified = {2018-12-19T15:53:20.620Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {false},
 hidden = {false},
 private_publication = {false},
 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}
}