{"_id":"4vkDbPx3Jfh6Naxzj","bibbaseid":"jimnezdaz-menndez-camacho-gonzlezcalero-predictingperformanceinteamgamestheautomaticcoach-2011","downloads":0,"creationDate":"2017-05-03T14:13:06.633Z","title":"Predicting performance in team games: The automatic coach","author_short":["Jiménez-Díaz, G.","Menéndez, H.","Camacho, D.","González-Calero, P."],"year":2011,"bibtype":"inproceedings","biburl":"https://bibbase.org/service/mendeley/7ff3d559-34c5-3dc7-a15e-4809d39e6685","bibdata":{"title":"Predicting performance in team games: The automatic coach","type":"inproceedings","year":"2011","keywords":"Clustering,Videogames","pages":"401-406","volume":"1","id":"c5695fd9-59da-36ce-b7bb-83c24b717540","created":"2016-03-23T11:20:11.000Z","file_attached":false,"profile_id":"7ff3d559-34c5-3dc7-a15e-4809d39e6685","last_modified":"2017-03-28T19:10:31.050Z","read":false,"starred":false,"authored":"true","confirmed":false,"hidden":false,"private_publication":false,"abstract":"A wide range of modern videogames involves a number of players collaborating to obtain a common goal. The way the players are teamed up is usually based on a measure of performance that makes players with a similar level of performance play together. We propose a novel technique based on clustering over observed behaviour in the game that seeks to exploit the particular way of playing of every player to find other players with a gameplay such that in combination will constitute a good team, in a similar way to a human coach. This paper describes the preliminary results using these techniques for the characterization of player and team behaviours. Experiments are performed in the domain of Soccerbots.","bibtype":"inproceedings","author":"Jiménez-Díaz, G. and Menéndez, H.D. and Camacho, D. and González-Calero, P.A.","booktitle":"ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence","bibtex":"@inproceedings{\n title = {Predicting performance in team games: The automatic coach},\n type = {inproceedings},\n year = {2011},\n keywords = {Clustering,Videogames},\n pages = {401-406},\n volume = {1},\n id = {c5695fd9-59da-36ce-b7bb-83c24b717540},\n created = {2016-03-23T11:20:11.000Z},\n file_attached = {false},\n profile_id = {7ff3d559-34c5-3dc7-a15e-4809d39e6685},\n last_modified = {2017-03-28T19:10:31.050Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n private_publication = {false},\n abstract = {A wide range of modern videogames involves a number of players collaborating to obtain a common goal. The way the players are teamed up is usually based on a measure of performance that makes players with a similar level of performance play together. We propose a novel technique based on clustering over observed behaviour in the game that seeks to exploit the particular way of playing of every player to find other players with a gameplay such that in combination will constitute a good team, in a similar way to a human coach. This paper describes the preliminary results using these techniques for the characterization of player and team behaviours. Experiments are performed in the domain of Soccerbots.},\n bibtype = {inproceedings},\n author = {Jiménez-Díaz, G. and Menéndez, H.D. and Camacho, D. and González-Calero, P.A.},\n booktitle = {ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence}\n}","author_short":["Jiménez-Díaz, G.","Menéndez, H.","Camacho, D.","González-Calero, P."],"biburl":"https://bibbase.org/service/mendeley/7ff3d559-34c5-3dc7-a15e-4809d39e6685","bibbaseid":"jimnezdaz-menndez-camacho-gonzlezcalero-predictingperformanceinteamgamestheautomaticcoach-2011","role":"author","urls":{},"keyword":["Clustering","Videogames"],"metadata":{"authorlinks":{}},"downloads":0},"search_terms":["predicting","performance","team","games","automatic","coach","jiménez-díaz","menéndez","camacho","gonzález-calero"],"keywords":["clustering","videogames"],"authorIDs":[],"dataSources":["HNDxhRrnQjQoGPbso","ya2CyA73rpZseyrZ8","f7Gboaz9puKQjy6Gp","2252seNhipfTmjEBQ"]}