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Knowledge-Free and Learning-Based Methods in Intelligent Game Playing
The book is focused on the developments and prospective challenging problems in the area of mind game playing (i.e. playing games that require mental skills) using Computational Intelligence (CI) methods, mainly neural networks, genetic/evolutionary programming and reinforcement learning. The majori...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
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| Edición: | 1st ed. 2010. |
| Colección: | Studies in Computational Intelligence,
276 |
| Temas: | |
| Acceso en línea: | Texto Completo |
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.