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Universal Artificial Intelligence : Sequential Decisions Based on Algorithmic Probability / by Marcus Hutter
(Texts in Theoretical Computer Science. An EATCS Series. ISSN:18624502)

データ種別	電子ブック
版	1st ed. 2005.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	2005
大きさ	XX, 278 p : online resource
著者標目	*Hutter, Marcus author SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0004646	Computer Scinece R0 2005-6,2022-3				9783540268772

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一般注記	Short Tour Through the Book -- Simplicity & Uncertainty -- Universal Sequence Prediction -- Agents in Known Probabilistics Environments -- The Universal Algorithmic Agent AIXI -- Important Environmental Classes -- Computational Aspects -- Discussion Decision Theory = Probability + Utility Theory + + Universal Induction = Ockham + Bayes + Turing = = A Unified View of Artificial Intelligence This book presents sequential decision theory from a novel algorithmic information theory perspective. While the former is suited for active agents in known environments, the latter is suited for passive prediction in unknown environments. The book introduces these two well-known but very different ideas and removes the limitations by unifying them to one parameter-free theory of an optimal reinforcement learning agent embedded in an arbitrary unknown environment. Most if not all AI problems can easily be formulated within this theory, which reduces the conceptual problems to pure computational ones. Considered problem classes include sequence prediction, strategic games, function minimization, reinforcement and supervised learning. The discussion includes formal definitions of intelligence order relations, the horizon problem and relations to other approaches to AI. One intention of this book is to excite a broader AI audience about abstract algorithmic information theory concepts, and conversely to inform theorists about exciting applications to AI HTTP:URL=https://doi.org/10.1007/b138233
件　名	LCSH:Artificial intelligence LCSH:Coding theory LCSH:Information theory LCSH:Computer science LCSH:Machine theory LCSH:Computer science -- Mathematics 全ての件名で検索 LCSH:Mathematical statistics FREE:Artificial Intelligence FREE:Coding and Information Theory FREE:Theory of Computation FREE:Formal Languages and Automata Theory FREE:Probability and Statistics in Computer Science
分　類	LCC:Q334-342 LCC:TA347.A78 DC23:006.3
書誌ID	EB00004034
ISBN	9783540268772