Academic Journal
Rapid Adaptation of Video Game AI
| العنوان: | Rapid Adaptation of Video Game AI |
|---|---|
| المؤلفون: | Sander Bakkes, Pieter Spronck, Jaap Van Den Herik |
| المساهمون: | The Pennsylvania State University CiteSeerX Archives |
| المصدر: | http://www.csse.uwa.edu.au/cig08/Proceedings/papers/8059.pdf. |
| سنة النشر: | 2008 |
| المجموعة: | CiteSeerX |
| الوصف: | Current approaches to adaptive game AI require either a high quality of utilised domain knowledge, or a large number of adaptation trials. These requirements hamper the goal of rapidly adapting game AI to changing circumstances. In an alternative, novel approach, domain knowledge is gathered automatically by the game AI, and is immediately (i.e., without trials and without resource-intensive learning) utilised to evoke effective behaviour. In this paper we discuss this approach, called ‘rapidly adaptive game AI’. We perform experiments that apply the approach in an actual video game. From our results we may conclude that rapidly adaptive game AI provides a strong basis for effectively adapting game AI in actual video games. |
| نوع الوثيقة: | text |
| وصف الملف: | application/pdf |
| اللغة: | English |
| Relation: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.205.4599; http://www.csse.uwa.edu.au/cig08/Proceedings/papers/8059.pdf |
| الاتاحة: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.205.4599 http://www.csse.uwa.edu.au/cig08/Proceedings/papers/8059.pdf |
| Rights: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| رقم الانضمام: | edsbas.9C1B2879 |
| قاعدة البيانات: | BASE |
| الوصف غير متاح. |