Matches in SemOpenAlex for { <https://semopenalex.org/work/W2770024602> ?p ?o ?g. }
Showing items 1 to 72 of
72
with 100 items per page.
- W2770024602 endingPage "14" @default.
- W2770024602 startingPage "5" @default.
- W2770024602 abstract "Programming by demonstration (PbD) has a straightforward application in the development of the artificial intelligence (AI) for nonplayer characters (NPCs) in a video game: a game designer controls the NPC during a training session in the game, and thus demonstrates the expected behavior for that character in different situations. Afterwards, applying some machine learning technique on the traces recorded during the demonstration, an AI for the NPC can be generated. Nevertheless, with this approach, it is very hard for the game designer to fully control the resulting behavior, which is a key requirement for game designers, who are responsible for putting together a fun experience for the player. In this paper, we present trained behavior trees (TBTs). TBTs are behavior trees (BTs) generated from traces obtained in a game through PbD. BTs are a technique widely used for AI game programming that are created and modified through special purpose visual editors. By inducing a BT from a PbD game session, we combine the ease of use of PbD with the ability to fine-tune the learned behavior of BTs. Furthermore, TBTs facilitate the use of BTs by game designers and promote their authoring control on game AI." @default.
- W2770024602 created "2017-12-04" @default.
- W2770024602 creator A5000998458 @default.
- W2770024602 creator A5031919231 @default.
- W2770024602 creator A5064832282 @default.
- W2770024602 creator A5066413458 @default.
- W2770024602 date "2019-03-01" @default.
- W2770024602 modified "2023-10-18" @default.
- W2770024602 title "Trained Behavior Trees: Programming by Demonstration to Support AI Game Designers" @default.
- W2770024602 cites W10517713 @default.
- W2770024602 cites W160764114 @default.
- W2770024602 cites W1642239575 @default.
- W2770024602 cites W1775617153 @default.
- W2770024602 cites W1968813584 @default.
- W2770024602 cites W2007506196 @default.
- W2770024602 cites W2119296376 @default.
- W2770024602 cites W2123634905 @default.
- W2770024602 cites W2136065562 @default.
- W2770024602 cites W2171658832 @default.
- W2770024602 cites W2328646735 @default.
- W2770024602 cites W2567075875 @default.
- W2770024602 doi "https://doi.org/10.1109/tg.2017.2771831" @default.
- W2770024602 hasPublicationYear "2019" @default.
- W2770024602 type Work @default.
- W2770024602 sameAs 2770024602 @default.
- W2770024602 citedByCount "30" @default.
- W2770024602 countsByYear W27700246022018 @default.
- W2770024602 countsByYear W27700246022019 @default.
- W2770024602 countsByYear W27700246022020 @default.
- W2770024602 countsByYear W27700246022021 @default.
- W2770024602 countsByYear W27700246022022 @default.
- W2770024602 countsByYear W27700246022023 @default.
- W2770024602 crossrefType "journal-article" @default.
- W2770024602 hasAuthorship W2770024602A5000998458 @default.
- W2770024602 hasAuthorship W2770024602A5031919231 @default.
- W2770024602 hasAuthorship W2770024602A5064832282 @default.
- W2770024602 hasAuthorship W2770024602A5066413458 @default.
- W2770024602 hasConcept C107457646 @default.
- W2770024602 hasConcept C109347269 @default.
- W2770024602 hasConcept C154945302 @default.
- W2770024602 hasConcept C41008148 @default.
- W2770024602 hasConcept C41826821 @default.
- W2770024602 hasConcept C503285160 @default.
- W2770024602 hasConcept C6907630 @default.
- W2770024602 hasConceptScore W2770024602C107457646 @default.
- W2770024602 hasConceptScore W2770024602C109347269 @default.
- W2770024602 hasConceptScore W2770024602C154945302 @default.
- W2770024602 hasConceptScore W2770024602C41008148 @default.
- W2770024602 hasConceptScore W2770024602C41826821 @default.
- W2770024602 hasConceptScore W2770024602C503285160 @default.
- W2770024602 hasConceptScore W2770024602C6907630 @default.
- W2770024602 hasIssue "1" @default.
- W2770024602 hasLocation W27700246021 @default.
- W2770024602 hasOpenAccess W2770024602 @default.
- W2770024602 hasPrimaryLocation W27700246021 @default.
- W2770024602 hasRelatedWork W1491613725 @default.
- W2770024602 hasRelatedWork W2045456578 @default.
- W2770024602 hasRelatedWork W2103092037 @default.
- W2770024602 hasRelatedWork W2128263204 @default.
- W2770024602 hasRelatedWork W2155881457 @default.
- W2770024602 hasRelatedWork W2296659631 @default.
- W2770024602 hasRelatedWork W2755355173 @default.
- W2770024602 hasRelatedWork W3041312522 @default.
- W2770024602 hasRelatedWork W3107474891 @default.
- W2770024602 hasRelatedWork W3130369450 @default.
- W2770024602 hasVolume "11" @default.
- W2770024602 isParatext "false" @default.
- W2770024602 isRetracted "false" @default.
- W2770024602 magId "2770024602" @default.
- W2770024602 workType "article" @default.