{"product_id":"an-introduction-to-universal-artificial-intelligence-9781032607023","title":"An Introduction to Universal Artificial Intelligence","description":"\u003cp\u003e\u003c\/p\u003e\u003cblockquote\u003e\n\u003cbr\u003eUniversal Artificial Intelligence (UAI) is a framework for solving AI problems, unifying ideas from sequential decision theory, Bayesian inference, and algorithmic information theory to construct AIXI, an optimal reinforcement learning agent. It covers both theoretical and practical aspects, with algorithms for implementation and experimental results. It also discusses the philosophical question of whether super-intelligent agents can be constructed and what the potential consequences are. \u003c\/blockquote\u003e\u003cp\u003e\u003cstrong\u003eFormat\u003c\/strong\u003e: Paperback \/ softback\u003cbr\u003e\u003cstrong\u003eLength\u003c\/strong\u003e: 496 pages\u003cbr\u003e\u003cstrong\u003ePublication date\u003c\/strong\u003e: 28 May 2024\u003cbr\u003e\u003cstrong\u003ePublisher\u003c\/strong\u003e: Taylor \u0026amp; Francis Ltd\u003cbr\u003e\u003c\/p\u003e \u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003ch1\u003eAn Introduction to Universal Artificial Intelligence\u003c\/h1\u003e\u003cbr\u003e\u003cp\u003eAn Introduction to Universal Artificial Intelligence (UAI) provides the formal underpinning of what it means for an agent to act intelligently in an unknown environment. First presented in \u003cem\u003eUniversal Algorithmic Intelligence\u003c\/em\u003e (Hutter, 2000), UAI offers a framework in which virtually all AI problems can be formulated, and a theory of how to solve them. UAI unifies ideas from sequential decision theory, Bayesian inference, and algorithmic information theory to construct AIXI, an optimal reinforcement learning agent that learns to act optimally in unknown environments. AIXI is the theoretical gold standard for intelligent behavior. \u003c\/p\u003e\u003cp\u003eThe book covers both the theoretical and practical aspects of UAI. Bayesian updating can be done efficiently with context tree weighting, and planning can be approximated by sampling with Monte Carlo tree search. It provides algorithms for the reader to implement, and experimental results to compare against. These algorithms are used to approximate AIXI. The book ends with a philosophical discussion of Artificial General Intelligence: Can super-intelligent agents even be constructed? Is it inevitable that they will be constructed, and what are the potential consequences? \u003c\/p\u003e\u003cp\u003eThis text is suitable for late undergraduate students. It provides an extensive chapter to fill in the required mathematics, probability, information, and computability theory background. You can also visit the author website: \u003ca href=\"{URL}\u0026gt;\u0026lt;\/p\u0026gt;\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Weight\u0026lt;\/strong\u0026gt;:%201028g\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;Dimension\u0026lt;\/strong\u0026gt;:%20176%20x%20254%20x%2027%20(mm)\u0026lt;br\u0026gt;\u0026lt;strong\u0026gt;ISBN-13\u0026lt;\/strong\u0026gt;:%209781032607023\u0026lt;\/p\u0026gt;\"\u003e\u003c\/a\u003e\u003c\/p\u003e","brand":"Marcus Hutter,David Quarel,Elliot Catt","offers":[{"title":"Paperback \/ softback","offer_id":46216354070778,"sku":"9781032607023","price":59.96,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0522\/4297\/2845\/files\/1717925764313_book.jpg?v=1718106603","url":"https:\/\/shulphink.com\/products\/an-introduction-to-universal-artificial-intelligence-9781032607023","provider":"Shulph Ink","version":"1.0","type":"link"}