27 octobre 2015

Download Now Universal Artificial Intelligence: Sequential Decisions Based On Algorithmic Probability



Personal motivation. The dream of creating artificial devices that reach or outperform human inteUigence is an old one. It is also one of the dreams of my youth, which have never left me. What makes this challenge so interesting? A solution would have enormous implications on our society, and there are reasons to believe that the AI problem can be solved in my expected lifetime. So, it's worth sticking to it for a lifetime, even if it takes 30 years or so to reap the benefits. The AI problem. Th...


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Universal Artificial Intelligence: Sequential Decisions ...
Sequential Decisions based on Algorithmic Probability. Order Information; Abstract; Short Table of Contents; Reviews at AIJ, ACM, Amazon
AIXI - Wikipedia, the free encyclopedia
AIXI ['ai̯k͡siː] is a mathematical formalism for artificial general intelligence. It combines Solomonoff induction with sequential decision theory.
Marcus Hutter - Wikipedia, the free encyclopedia
Universal artificial intelligence (AIXI) Hutter's notion of universal AI describes the optimal strategy of an agent that wants to maximise its future expected reward ...
Artificial Intelligence Page of Marcus Hutter
Short AI Reader's Guide; Long AI Reader's Guide; Recommended Textbooks; Undergraduate Studies Guide; Undergraduate Books and Courses. Short AI Reader's Guide
Topics in Statistical Data Analysis: Revealing Facts from Data
Introduction Developments in the field of statistical data analysis often parallel or follow advancements in other fields to which statistical methods are fruitfully ...
Edge.org
For more than fifty years, I've watched the ebb and flow of public opinion about artificial intelligence: it's impossible and can't be done; it's horrendous, and will ...
Abstracts of Joseph Y. Halpern's Publications
Abstracts Theoretical Aspects of Reasoning About Knowledge: Proceedings of the 1986 Conference. Joseph Y. Halpern (editor) This is the proceedings of the first TARK ...
Deep learning in neural networks: An overview - ScienceDirect
Abstract. In recent years, deep artificial neural networks (including recurrent ones) have won numerous contests in pattern recognition and machine learning.
Publications Page - Cambridge Machine Learning Group
[ full BibTeX file] 2015. Marc Peter Deisenroth, Dieter Fox, and Carl Edward Rasmussen. Gaussian processes for data-efficient learning in robotics and control.
Intelligence — Wikipédia
En l'absence d'une définition satisfaisante de l'intelligence, il est difficile de décider si une machine (ou un animal) est ou non intelligent.



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