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Universal Artificial Intelligence
Marcus Hutter
€ 112.43
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Description for Universal Artificial Intelligence
Hardback. Presents sequential decision theory from a novel algorithmic information theory perspective. This book introduces the two different ideas and removes the limitations by unifying them to one parameter-free theory of an optimal reinforcement learning agent embedded in an unknown environment. Series: Texts in Theoretical Computer Science: An EATCS Series. Num Pages: 278 pages, biography. BIC Classification: UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 241 x 157 x 21. Weight in Grams: 588.
Personal motivation. The dream of creating artificial devices that reach or outperform human inteUigence is an old one. It is also one of the dreams of my youth, which have never left me. What makes this challenge so interesting? A solution would have enormous implications on our society, and there are reasons to believe that the AI problem can be solved in my expected lifetime. So, it's worth sticking to it for a lifetime, even if it takes 30 years or so to reap the benefits. The AI problem. The science of artificial intelligence (AI) may be defined as the ... Read more
Personal motivation. The dream of creating artificial devices that reach or outperform human inteUigence is an old one. It is also one of the dreams of my youth, which have never left me. What makes this challenge so interesting? A solution would have enormous implications on our society, and there are reasons to believe that the AI problem can be solved in my expected lifetime. So, it's worth sticking to it for a lifetime, even if it takes 30 years or so to reap the benefits. The AI problem. The science of artificial intelligence (AI) may be defined as the ... Read more
Product Details
Format
Hardback
Publication date
2004
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
278
Condition
New
Series
Texts in Theoretical Computer Science: An EATCS Series
Number of Pages
278
Place of Publication
Berlin, Germany
ISBN
9783540221395
SKU
V9783540221395
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Marcus Hutter
Marcus Hutter received his masters in computer sciences in 1992 at the Technical University in Munich, Germany. After his PhD in theoretical particle physics he developed algorithms in a medical software company for 5 years. For four years he has been working as a researcher at the AI institute IDSIA in Lugano, Switzerland. His current interests are centered around reinforcement ... Read more
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