Knowledge-Free and Learning-Based Methods in Intelligent Game Playing

Name: Knowledge-Free and Learning-Based Methods in Intelligent Game Playing
Brand: Springer, Berlin
SKU: 9783642116773
Price: 472.81 PLN
Availability: InStock

Autor: Jacek Mandziuk

Język:

Oprawa: Twarda

Wydawca: Springer, Berlin

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The book is focused on the developments and prospective challenging problems in the area of mind gam...

Informacje o książce

Autor

Jacek Mandziuk

Język

Angielski

Oprawa

Książka - Twarda

Data wydania

2010

strony

254

EAN

9783642116773

ISBN

3642116779

Enbook ID

01655445

Wydawca

Springer, Berlin

Waga

1240

Wymiary

157 x 242 x 15

Pełny opis

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 majority of discussed game playing ideas were selected based on their functional similarity to human game playing. These similarities include: learning from scratch, autonomous experience-based improvement and example-based learning. The above features determine the major distinction between CI and traditional AI methods relying mostly on using effective game tree search algorithms, carefully tuned hand-crafted evaluation functions or hardware-based brute-force methods.§On the other hand, it should be noted that the aim of this book is by no means to underestimate the achievements of traditional AI methods in game playing domain. On the contrary, the accomplishments of AI approaches are undisputable and speak for themselves. The goal is rather to express my belief that other alternative ways of developing mind game playing machines are possible and urgently needed.

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