Knowledge-Free and Learning-Based Methods in Intelligent Game Playing /
| Autor principal: | |
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| Autor Corporativo: | |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
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| Edición: | 1st ed. 2010. |
| Colección: | Studies in Computational Intelligence,
276 |
| Materias: |
Tabla de Contenidos:
- I: AI Tools and State-of-the-Art Accomplishments in Mind Games
- Foundations of AI and CI in Games. Claude Shannon’s Postulates
- Basic AI Methods and Tools
- State of the Art
- II: CI Methods in Mind Games. Towards Human-Like Playing
- An Overview of Computational Intelligence Methods
- CI in Games – Selected Approaches
- III: An Overview of Challenges and Open Problems
- Evaluation Function Learning
- Game Representation
- Efficient TD Training
- Move Ranking and Search-Free Playing
- Modeling the Opponent and Handling the Uncertainty
- IV: Grand Challenges
- Intuition
- Creativity and Knowledge Discovery
- Multi-game Playing
- Summary and Perspectives.