Biologically inspired artificial intelligence for computer games:
"This book examines modern artificial intelligence to display how it may be applied to computer games. It spans the divide that exists between the academic research community working with advanced artificial intelligence and the games programming community which must create and release new and...
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| Main Authors: | , , , |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hershey ; New York
Medical Information Science Reference
[2008]
|
| Subjects: | |
| Online Access: | DE-706 DE-1049 DE-898 DE-1050 DE-83 Volltext |
| Summary: | "This book examines modern artificial intelligence to display how it may be applied to computer games. It spans the divide that exists between the academic research community working with advanced artificial intelligence and the games programming community which must create and release new and interesting games, creating an invaluable collection supporting both technological research and the gaming industry" - Provided by publisher |
| Item Description: | Includes bibliographical references and index |
| Physical Description: | 1 Online-Ressource (xiv, 262 Seiten) |
| ISBN: | 9781591406488 159140648X |
Staff View
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| 245 | 1 | 0 | |a Biologically inspired artificial intelligence for computer games |c Darryl Charles (University of Ulster, Ireland), Colin Fyfe (University of Paisley, UK), Daniel Livingstone (University of Paisley, UK), Stephen McGlinchey (University of Paisley, UK) |
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| author | Charles, Darryl Fyfe, Colin Livingstone, Daniel McGlinchey, Stephen |
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| author_facet | Charles, Darryl Fyfe, Colin Livingstone, Daniel McGlinchey, Stephen |
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| contents | 1. Contemporary video game AI -- 2. An introduction to artificial neural networks -- 3. Supervised learning with artificial neural networks -- 4. Case study: supervised neural networks in digital games -- 5. Unsupervised learning in artificial neural networks -- 6. Faster learning in neural networks -- 7. Genetic algorithms -- 8. Beyond the GA: extensions and alternatives -- 9. Evolving solutions for multi-objective problems and hierarchical AI -- 10. Artificial immune systems -- 11. Ant colony optimisation -- 12. Reinforcement learning -- 13. Adaptivity within games -- 14. Turin gs test and believable AI -- About the contributors -- Index |
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| id | DE-604.BV044232460 |
| illustrated | Not Illustrated |
| indexdate | 2024-08-23T01:06:30Z |
| institution | BVB |
| isbn | 9781591406488 159140648X |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029638066 |
| oclc_num | 978277560 |
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| owner_facet | DE-706 DE-1049 DE-898 DE-BY-UBR DE-1050 DE-83 |
| physical | 1 Online-Ressource (xiv, 262 Seiten) |
| psigel | ZDB-98-IGB ZDB-1-IGE ZDB-98-IGB TUB_EBS_IGB |
| publishDate | 2008 |
| publishDateSearch | 2008 |
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| publisher | Medical Information Science Reference |
| record_format | marc |
| spelling | Charles, Darryl Verfasser aut Biologically inspired artificial intelligence for computer games Darryl Charles (University of Ulster, Ireland), Colin Fyfe (University of Paisley, UK), Daniel Livingstone (University of Paisley, UK), Stephen McGlinchey (University of Paisley, UK) Hershey ; New York Medical Information Science Reference [2008] © 2008 1 Online-Ressource (xiv, 262 Seiten) txt rdacontent c rdamedia cr rdacarrier Includes bibliographical references and index 1. Contemporary video game AI -- 2. An introduction to artificial neural networks -- 3. Supervised learning with artificial neural networks -- 4. Case study: supervised neural networks in digital games -- 5. Unsupervised learning in artificial neural networks -- 6. Faster learning in neural networks -- 7. Genetic algorithms -- 8. Beyond the GA: extensions and alternatives -- 9. Evolving solutions for multi-objective problems and hierarchical AI -- 10. Artificial immune systems -- 11. Ant colony optimisation -- 12. Reinforcement learning -- 13. Adaptivity within games -- 14. Turin gs test and believable AI -- About the contributors -- Index "This book examines modern artificial intelligence to display how it may be applied to computer games. It spans the divide that exists between the academic research community working with advanced artificial intelligence and the games programming community which must create and release new and interesting games, creating an invaluable collection supporting both technological research and the gaming industry" - Provided by publisher Künstliche Intelligenz Artificial intelligence / Computer games Artificial intelligence / Biological applications Research / Computer games Künstliche Intelligenz (DE-588)4033447-8 gnd rswk-swf Computerspiel (DE-588)4010457-6 gnd rswk-swf Künstliche Intelligenz (DE-588)4033447-8 s Computerspiel (DE-588)4010457-6 s DE-604 Fyfe, Colin Verfasser aut Livingstone, Daniel Verfasser aut McGlinchey, Stephen Verfasser (DE-588)1055069895 aut Erscheint auch als Druck-Ausgabe 978-1-59140-646-4 Erscheint auch als Druck-Ausgabe 1-59140-646-3 Erscheint auch als Druck-Ausgabe 978-1-61692-685-4 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-59140-646-4 Verlag URL des Erstveröffentlichers Volltext |
| spellingShingle | Charles, Darryl Fyfe, Colin Livingstone, Daniel McGlinchey, Stephen Biologically inspired artificial intelligence for computer games 1. Contemporary video game AI -- 2. An introduction to artificial neural networks -- 3. Supervised learning with artificial neural networks -- 4. Case study: supervised neural networks in digital games -- 5. Unsupervised learning in artificial neural networks -- 6. Faster learning in neural networks -- 7. Genetic algorithms -- 8. Beyond the GA: extensions and alternatives -- 9. Evolving solutions for multi-objective problems and hierarchical AI -- 10. Artificial immune systems -- 11. Ant colony optimisation -- 12. Reinforcement learning -- 13. Adaptivity within games -- 14. Turin gs test and believable AI -- About the contributors -- Index Künstliche Intelligenz Artificial intelligence / Computer games Artificial intelligence / Biological applications Research / Computer games Künstliche Intelligenz (DE-588)4033447-8 gnd Computerspiel (DE-588)4010457-6 gnd |
| subject_GND | (DE-588)4033447-8 (DE-588)4010457-6 |
| title | Biologically inspired artificial intelligence for computer games |
| title_auth | Biologically inspired artificial intelligence for computer games |
| title_exact_search | Biologically inspired artificial intelligence for computer games |
| title_full | Biologically inspired artificial intelligence for computer games Darryl Charles (University of Ulster, Ireland), Colin Fyfe (University of Paisley, UK), Daniel Livingstone (University of Paisley, UK), Stephen McGlinchey (University of Paisley, UK) |
| title_fullStr | Biologically inspired artificial intelligence for computer games Darryl Charles (University of Ulster, Ireland), Colin Fyfe (University of Paisley, UK), Daniel Livingstone (University of Paisley, UK), Stephen McGlinchey (University of Paisley, UK) |
| title_full_unstemmed | Biologically inspired artificial intelligence for computer games Darryl Charles (University of Ulster, Ireland), Colin Fyfe (University of Paisley, UK), Daniel Livingstone (University of Paisley, UK), Stephen McGlinchey (University of Paisley, UK) |
| title_short | Biologically inspired artificial intelligence for computer games |
| title_sort | biologically inspired artificial intelligence for computer games |
| topic | Künstliche Intelligenz Artificial intelligence / Computer games Artificial intelligence / Biological applications Research / Computer games Künstliche Intelligenz (DE-588)4033447-8 gnd Computerspiel (DE-588)4010457-6 gnd |
| topic_facet | Künstliche Intelligenz Artificial intelligence / Computer games Artificial intelligence / Biological applications Research / Computer games Computerspiel |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-59140-646-4 |
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