Universal Artificial Intelligence: Sequential Decisions Based On Algorithmic Probability

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Summary: The basis for future AI theories?
Review: Have you ever wondered if Artificial Intelligence is possible at all? And if so, can it be achieved by a neat and simple construction, rather than some highly complex system that nobody could understand? This book proposes a theory answering both questions in the affirmative. The idea is easy: use a universal model class, treat observations in a probabilistic (Bayesian) way, and do an optimal far-sighted decision on this basis. In the book, this construction is mathematically elaborated, and many properties are stated and proven, such as asymptotic behavior, optimality, etc. On the other hand, no efficient implementation is possible at this stage, since the system requires infinite computation time.
This is the only mathematical definition of universal AI I know of, and maybe the only one possible. How can it be implemented efficiently? Does the resulting system behave truly intelligent? Hopefully the future will answer these questions - maybe with your contribution!