General video game artificial intelligence:
Research on general video game playing aims at designing agents or content generators that can perform well in multiple video games, possibly without knowing the game in advance and with little to no specific domain knowledge. The general video game AI framework and competition propose a challenge i...
Gespeichert in:
| Hauptverfasser: | , , , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
San Rafael, California
Morgan & Claypool
[2020]
|
| Schriftenreihe: | Synthesis lectures on games and computational intelligence
#5 |
| Schlagworte: | |
| Online-Zugang: | UBR01 URL des Erstveröffentlichers |
| Zusammenfassung: | Research on general video game playing aims at designing agents or content generators that can perform well in multiple video games, possibly without knowing the game in advance and with little to no specific domain knowledge. The general video game AI framework and competition propose a challenge in which researchers can test their favorite AI methods with a potentially infinite number of games created using the Video Game Description Language. The open-source framework has been used since 2014 for running a challenge. Competitors around the globe submit their best approaches that aim to generalize well across games. Additionally, the framework has been used in AI modules by many higher-education institutions as assignments, or as proposed projects for final year (undergraduate and Master's) students and Ph.D. candidates. The present book, written by the developers and organizers of the framework, presents the most interesting highlights of the research performed by the authors during these years in this domain. It showcases work on methods to play the games, generators of content, and video game optimization. It also outlines potential further work in an area that offers multiple research directions for the future |
| Beschreibung: | Part of: Synthesis digital library of engineering and computer science |
| Beschreibung: | 1 Online-Resource (xiii, 177 Seiten) Illustrationen |
| ISBN: | 9781681736457 |
| DOI: | 10.2200/S00944ED1V01Y201908GCI005 |
Internformat
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| 245 | 1 | 0 | |a General video game artificial intelligence |c Diego Pérez Liébana, Simon M. Lucas, and Raluca D. Gaina, Julian Togelius and Ahmed Khalifa, Jialin Liu |
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| 490 | 1 | |a Synthesis lectures on games and computational intelligence |v #5 | |
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| 520 | |a Research on general video game playing aims at designing agents or content generators that can perform well in multiple video games, possibly without knowing the game in advance and with little to no specific domain knowledge. The general video game AI framework and competition propose a challenge in which researchers can test their favorite AI methods with a potentially infinite number of games created using the Video Game Description Language. The open-source framework has been used since 2014 for running a challenge. Competitors around the globe submit their best approaches that aim to generalize well across games. Additionally, the framework has been used in AI modules by many higher-education institutions as assignments, or as proposed projects for final year (undergraduate and Master's) students and Ph.D. candidates. The present book, written by the developers and organizers of the framework, presents the most interesting highlights of the research performed by the authors during these years in this domain. It showcases work on methods to play the games, generators of content, and video game optimization. It also outlines potential further work in an area that offers multiple research directions for the future | ||
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Datensatz im Suchindex
| _version_ | 1804180976844144640 |
|---|---|
| any_adam_object | |
| author | Pérez Liébana, Diego 1983- Lucas, Simon M. ca. 20./21. Jh Gaina, Raluca D. ca. 20./21. Jd Togelius, Julian Khalifa, Ahmed Liu, Jialin ca. 20./21. Jd |
| author_GND | (DE-588)1210182939 (DE-588)1225774454 (DE-588)122577456X (DE-588)1166695727 (DE-588)1225774713 (DE-588)1225774845 |
| author_facet | Pérez Liébana, Diego 1983- Lucas, Simon M. ca. 20./21. Jh Gaina, Raluca D. ca. 20./21. Jd Togelius, Julian Khalifa, Ahmed Liu, Jialin ca. 20./21. Jd |
| author_role | aut aut aut aut aut aut |
| author_sort | Pérez Liébana, Diego 1983- |
| author_variant | l d p ld ldp s m l sm sml r d g rd rdg j t jt a k ak j l jl |
| building | Verbundindex |
| bvnumber | BV046427729 |
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| collection | ZDB-105-MCS ZDB-105-MCB |
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| dewey-full | 794.8 |
| dewey-hundreds | 700 - The arts |
| dewey-ones | 794 - Indoor games of skill |
| dewey-raw | 794.8 |
| dewey-search | 794.8 |
| dewey-sort | 3794.8 |
| dewey-tens | 790 - Recreational and performing arts |
| discipline | Allgemeines Sport Informatik |
| doi_str_mv | 10.2200/S00944ED1V01Y201908GCI005 |
| format | Electronic eBook |
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| id | DE-604.BV046427729 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T08:44:19Z |
| institution | BVB |
| isbn | 9781681736457 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-031840031 |
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| physical | 1 Online-Resource (xiii, 177 Seiten) Illustrationen |
| psigel | ZDB-105-MCS ZDB-105-MCB ZDB-105-MCB UBR Pick&Choose 2021 |
| publishDate | 2020 |
| publishDateSearch | 2020 |
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| publisher | Morgan & Claypool |
| record_format | marc |
| series | Synthesis lectures on games and computational intelligence |
| series2 | Synthesis lectures on games and computational intelligence |
| spelling | Pérez Liébana, Diego 1983- Verfasser (DE-588)1210182939 aut General video game artificial intelligence Diego Pérez Liébana, Simon M. Lucas, and Raluca D. Gaina, Julian Togelius and Ahmed Khalifa, Jialin Liu San Rafael, California Morgan & Claypool [2020] © 2020 1 Online-Resource (xiii, 177 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Synthesis lectures on games and computational intelligence #5 Part of: Synthesis digital library of engineering and computer science Research on general video game playing aims at designing agents or content generators that can perform well in multiple video games, possibly without knowing the game in advance and with little to no specific domain knowledge. The general video game AI framework and competition propose a challenge in which researchers can test their favorite AI methods with a potentially infinite number of games created using the Video Game Description Language. The open-source framework has been used since 2014 for running a challenge. Competitors around the globe submit their best approaches that aim to generalize well across games. Additionally, the framework has been used in AI modules by many higher-education institutions as assignments, or as proposed projects for final year (undergraduate and Master's) students and Ph.D. candidates. The present book, written by the developers and organizers of the framework, presents the most interesting highlights of the research performed by the authors during these years in this domain. It showcases work on methods to play the games, generators of content, and video game optimization. It also outlines potential further work in an area that offers multiple research directions for the future Computer games Artificial intelligence Video games Design Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Computerspiel (DE-588)4010457-6 gnd rswk-swf Computerspiel (DE-588)4010457-6 s Künstliche Intelligenz (DE-588)4033447-8 s 1\p DE-604 Lucas, Simon M. ca. 20./21. Jh. Verfasser (DE-588)1225774454 aut Gaina, Raluca D. ca. 20./21. Jd. Verfasser (DE-588)122577456X aut Togelius, Julian Verfasser (DE-588)1166695727 aut Khalifa, Ahmed Verfasser (DE-588)1225774713 aut Liu, Jialin ca. 20./21. Jd. Verfasser (DE-588)1225774845 aut Erscheint auch als Druck-Ausgabe, Paperback 978-1-68173-644-0 Erscheint auch als Druck-Ausgabe, Hardcover 978-1-68173-646-4 Synthesis lectures on games and computational intelligence #5 (DE-604)BV045907071 5 https://doi.org/10.2200/S00944ED1V01Y201908GCI005 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Pérez Liébana, Diego 1983- Lucas, Simon M. ca. 20./21. Jh Gaina, Raluca D. ca. 20./21. Jd Togelius, Julian Khalifa, Ahmed Liu, Jialin ca. 20./21. Jd General video game artificial intelligence Synthesis lectures on games and computational intelligence Computer games Artificial intelligence Video games Design Künstliche Intelligenz (DE-588)4033447-8 gnd Computerspiel (DE-588)4010457-6 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4010457-6 |
| title | General video game artificial intelligence |
| title_auth | General video game artificial intelligence |
| title_exact_search | General video game artificial intelligence |
| title_full | General video game artificial intelligence Diego Pérez Liébana, Simon M. Lucas, and Raluca D. Gaina, Julian Togelius and Ahmed Khalifa, Jialin Liu |
| title_fullStr | General video game artificial intelligence Diego Pérez Liébana, Simon M. Lucas, and Raluca D. Gaina, Julian Togelius and Ahmed Khalifa, Jialin Liu |
| title_full_unstemmed | General video game artificial intelligence Diego Pérez Liébana, Simon M. Lucas, and Raluca D. Gaina, Julian Togelius and Ahmed Khalifa, Jialin Liu |
| title_short | General video game artificial intelligence |
| title_sort | general video game artificial intelligence |
| topic | Computer games Artificial intelligence Video games Design Künstliche Intelligenz (DE-588)4033447-8 gnd Computerspiel (DE-588)4010457-6 gnd |
| topic_facet | Computer games Artificial intelligence Video games Design Künstliche Intelligenz Computerspiel |
| url | https://doi.org/10.2200/S00944ED1V01Y201908GCI005 |
| volume_link | (DE-604)BV045907071 |
| work_keys_str_mv | AT perezliebanadiego generalvideogameartificialintelligence AT lucassimonm generalvideogameartificialintelligence AT gainaralucad generalvideogameartificialintelligence AT togeliusjulian generalvideogameartificialintelligence AT khalifaahmed generalvideogameartificialintelligence AT liujialin generalvideogameartificialintelligence |