Knowledge-free and learning-based methods in intelligent game playing - Info and Reading Options
By Jacek Mańdziuk
"Knowledge-free and learning-based methods in intelligent game playing" was published by Springer Verlag in 2010 - Berlin, it has 254 pages and the language of the book is English.
“Knowledge-free and learning-based methods in intelligent game playing” Metadata:
- Title: ➤ Knowledge-free and learning-based methods in intelligent game playing
- Author: Jacek Mańdziuk
- Language: English
- Number of Pages: 254
- Publisher: Springer Verlag
- Publish Date: 2010
- Publish Location: Berlin
“Knowledge-free and learning-based methods in intelligent game playing” Subjects and Themes:
- Subjects: ➤ Soft Computing - Spielstrategie - Lernendes System - Programming - Computerspiel - Kognitionswissenschaft - Maschinelles Lernen - Computer games - Computational intelligence - Computer games, programming
Edition Specifications:
- Pagination: xviii, 254 p. :
Edition Identifiers:
- The Open Library ID: OL25279483M - OL16596073W
- Online Computer Library Center (OCLC) ID: 502034123
- Library of Congress Control Number (LCCN): 2009943991
- ISBN-13: 9783642116773 - 9783642116780
- ISBN-10: 3642116779
- All ISBNs: 3642116779 - 9783642116773 - 9783642116780
AI-generated Review of “Knowledge-free and learning-based methods in intelligent game playing”:
"Knowledge-free and learning-based methods in intelligent game playing" Description:
Open Data:
"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."--Publisher's website
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