Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability download free [PDF and Ebook] by Marcus Hutter

Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability download free [PDF and Ebook] by Marcus Hutter year 2004
  • Book name: Universal Artificial Intelligence: Sequential Decisions Based on Algorithmic Probability
  • Author: Marcus Hutter
  • Release date: 2004/4/30
  • Publisher: SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG
  • Language: English
  • Genre or Collection: Computing
  • ISBN: 9783540221395
  • Rating: 8.28 of 10
  • Votes: 83
  • Review by: Leonida Townes
  • Review rating: 9.82 of 10
  • Review Date: 2018/10/20
  • Total pages: 278
  • Includes a PDF summary of 25 pages
  • Description or summary of the book: 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.
  • Estimated reading time (average reader): 18H59M47S
  • Other categories, genre or collection: Mathematical & Statistical Software, Coding Theory & Cryptology, Artificial Intelligence, Information Theory, Mathematical Logic, Maths For Computer Scientists, Mathematical Theory Of Computation, Computer Science
  • Available formats: DOC, PDF, TXT, PDB, PPTX, TCR, EPUB, WORD. Compressed in RAR, 7-ZIP, CBZ, LHA, ZIP, CHM, TAR.Z
  • Download servers: SendMyWay, BitShare, Google Drive, Microsoft OneDrive, Mediafire, iDope
  • Format: Hardback
  • Approximate value: 91.25 USD
  • Dimensions: 155x235x20.32mm
  • Weight: 638g
  • Printed by: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Published in: Berlin, Germany
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