| 書目名稱 | Universal Artificial Intelligence | | 副標題 | Sequential Decisions | | 編輯 | Marcus Hutter | | 視頻video | http://file.papertrans.cn/943/942207/942207.mp4 | | 概述 | First book presenting "machine learning/agent theory/sequential decision theory" from an "algorithmic information theory" point of view.Includes supplementary material: | | 叢書名稱 | Texts in Theoretical Computer Science. An EATCS Series | | 圖書封面 |  | | 描述 | 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 construction of intelligent systems and their analysis. A natural definition of a system is anything that has an input and an output stream. Intelligence is more complicated. It can have many faces like creativity, solving prob- lems, pattern recognition, classification, learning, induction, deduction, build- ing analogies, optimization, surviving in an environment, language processing, and knowledge. A formal definition incorporating every aspect of intelligence, however, seems difficult. Most, if not all known facets of intelligence can be formulated as goal driven or, more precisely, as maximizing some utility func- tion. It | | 出版日期 | Textbook 2005 | | 關鍵詞 | agents; algorithmic information theory; algorithms; artificial intelligence; decision theory; information | | 版次 | 1 | | doi | https://doi.org/10.1007/b138233 | | isbn_softcover | 978-3-642-06052-6 | | isbn_ebook | 978-3-540-26877-2Series ISSN 1862-4499 Series E-ISSN 1862-4502 | | issn_series | 1862-4499 | | copyright | Springer-Verlag Berlin Heidelberg 2005 |
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