Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability by Marcus HutterUniversal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability by Marcus Hutter

Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability

byMarcus Hutter

Paperback | November 6, 2010

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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.
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...
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Title:Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic ProbabilityFormat:PaperbackDimensions:278 pagesPublished:November 6, 2010Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3642060528

ISBN - 13:9783642060526

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Table of Contents

1. A Short Tour Through the Book; 2. Simplicity and Uncertainty; 3. Universal Sequence Prediction; 4. Agents in Known Probabilistic Environments; 5. The Universal Algorithmic Agent AIXI; 6. Important Environmental Classes; 7. Computational Aspects; 8. Discussion; Bibliography; Index