Universal Artificial Intelligence

Universal Artificial Intelligence Sequential Decisions Based on Algorithmic Probability - Texts in Theoretical Computer Science : An EATCS Series

2005

Hardback (12 Oct 2004)

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Publisher's Synopsis

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. The science of artificial intelligence (AI) may be defined as the construction of intelligent systems and their analysis. A natural definition of a system is anything that has an input and an output stream. Intelligence is more complicated. It can have many faces like creativity, solving prob- lems, pattern recognition, classification, learning, induction, deduction, build- ing analogies, optimization, surviving in an environment, language processing, and knowledge. A formal definition incorporating every aspect of intelligence, however, seems difficult. Most, if not all known facets of intelligence can be formulated as goal driven or, more precisely, as maximizing some utility func- tion. It is, therefore, sufficient to study goal-driven AI; e. g. the (biological) goal of animals and humans is to survive and spread. The goal of AI systems should be to be useful to humans.

Book information

ISBN: 9783540221395
Publisher: Springer Berlin Heidelberg
Imprint: Springer
Pub date:
Edition: 2005
DEWEY: 006.333
DEWEY edition: 22
Language: English
Number of pages: 278
Weight: 588g
Height: 241mm
Width: 157mm
Spine width: 21mm