Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability - Texts in Theoretical Computer Science: an Eatcs Series - Marcus Hutter - 書籍 - Springer-Verlag Berlin and Heidelberg Gm - 9783642060526 - 2010年11月6日
カバー画像とタイトルが一致しない場合、正しいのはタイトルです

Marcus Hutter
Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability - Texts in Theoretical Computer Science: an Eatcs Series Softcover Reprint of Hardcover 1st Ed. 2005 edition

価格
¥ 15.428
税抜

遠隔倉庫からの取り寄せ

発送予定日 年6月16日 - 年6月26日

お客様の声：

EU消費者保護法に基づく14日間の返品ポリシー
Trustpilotで高評価
iMusicのウィッシュリストに追加

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 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. Most AI problems can easily be formulated within this theory, reducing 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. 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.

298 pages, black & white illustrations

メディア 書籍     Paperback Book   (ソフトカバーで背表紙を接着した本)
リリース済み 2010年11月6日
ISBN13 9783642060526
出版社 Springer-Verlag Berlin and Heidelberg Gm
ページ数 298
寸法 155 × 235 × 16 mm   ·   426 g
言語 英語  

Marcus Hutterの他の作品を見る

すべて表示

Mere med samme udgiver

Marcus Hutterのすべてを見る ( 例： Paperback Book および Hardcover Book )