Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability
暫譯: 普遍人工智慧：基於演算法機率的序列決策
Hutter, Marcus
- 出版商: Springer
- 出版日期: 2010-11-06
- 售價: $4,160
- 貴賓價: 9.5 折 $3,952
- 語言: 英文
- 頁數: 278
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3642060528
- ISBN-13: 9783642060526
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相關分類:
人工智慧、Algorithms-data-structures
海外代購書籍(需單獨結帳)
商品描述
This book presents sequential decision theory from a novel algorithmic information theory perspective. While the former is suited for active agents in known environment, the latter is suited for passive prediction in unknown environment. 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.
商品描述(中文翻譯)
本書從一個新穎的演算法資訊理論角度介紹序列決策理論。前者適用於已知環境中的主動代理，而後者則適用於未知環境中的被動預測。本書介紹了這兩種不同的概念，並通過將它們統一為一個無參數的最佳強化學習代理理論，消除了其限制。大多數人工智慧問題都可以輕鬆地在此理論中進行表述，將概念問題簡化為純計算問題。考慮的問題類別包括序列預測、策略遊戲、函數最小化、強化學習和監督學習。討論內容包括智慧順序關係的正式定義、地平線問題及其與其他方法的關係。
作者簡介
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 learning, algorithmic information theory and statistics, universal induction schemes, adaptive control theory, and related areas.
IDSIA (Istituto Dalle Molle di Studi sull'Intelligenza Artificiale) is a non-profit oriented research institute for artificial intelligence, affiliated with both the University of Lugano and SUPSI. It focusses on machine learning (artificial neural networks, reinforcement learning), optimal universal artificial intelligence and optimal rational agents, operations research, complexity theory, and robotics. In Business Week's "X-Lab Survey" IDSIA was ranked in fourth place in the category "Computer Science - Biologically Inspired", after much larger institutions. IDSIA also ranked in the top 10 of the broader category "Artificial Intelligence."
作者簡介(中文翻譯)
馬庫斯·胡特（Marcus Hutter）於1992年在德國慕尼黑的技術大學獲得計算機科學碩士學位。在獲得理論粒子物理學博士學位後，他在一家醫療軟體公司開發演算法達五年之久。近四年來，他在瑞士盧加諾的人工智慧研究所IDSIA擔任研究員。他目前的研究興趣集中在強化學習、演算法資訊理論與統計、通用歸納方案、自適應控制理論及相關領域。
IDSIA（Istituto Dalle Molle di Studi sull'Intelligenza Artificiale）是一個非營利導向的人工智慧研究機構，隸屬於盧加諾大學和SUPSI。該機構專注於機器學習（人工神經網路、強化學習）、最佳通用人工智慧和最佳理性代理、運籌學、複雜性理論及機器人技術。在《商業周刊》的「X-Lab調查」中，IDSIA在「計算機科學 - 生物啟發」類別中排名第四，僅次於更大型的機構。IDSIA在更廣泛的「人工智慧」類別中也名列前十。
