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Universal Artificial Intelligence
  • Language: en
  • Pages: 294

Universal Artificial Intelligence

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 str...

Advances in Artificial General Intelligence
  • Language: en
  • Pages: 304

Advances in Artificial General Intelligence

  • Type: Book
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  • Published: 2007
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  • Publisher: IOS Press

Examines the creation of software programs displaying broad, deep, human-style general intelligence. This work features papers presented at the 2006 AGIRI (Artificial General Intelligence Research Institute) workshop, which illustrates that it is a fit and proper subject for serious science and engineering exploration.

50 Years of Artificial Intelligence
  • Language: en
  • Pages: 408

50 Years of Artificial Intelligence

This Festschrift volume, published in celebration of the 50th Anniversary of Artificial Intelligence, includes 34 refereed papers written by leading researchers in the field of Artificial Intelligence. The papers were carefully selected from the invited lectures given at the 50th Anniversary Summit of AI, held at the Centro Stefano Franscini, Monte Verità, Ascona, Switzerland, July 9-14, 2006. The summit provided a venue for discussions on a broad range of topics.

Foundations of Trusted Autonomy
  • Language: en
  • Pages: 399

Foundations of Trusted Autonomy

  • Type: Book
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  • Published: 2018-01-15
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  • Publisher: Springer

This book establishes the foundations needed to realize the ultimate goals for artificial intelligence, such as autonomy and trustworthiness. Aimed at scientists, researchers, technologists, practitioners, and students, it brings together contributions offering the basics, the challenges and the state-of-the-art on trusted autonomous systems in a single volume. The book is structured in three parts, with chapters written by eminent researchers and outstanding practitioners and users in the field. The first part covers foundational artificial intelligence technologies, while the second part covers philosophical, practical and technological perspectives on trust. Lastly, the third part presents advanced topics necessary to create future trusted autonomous systems. The book augments theory with real-world applications including cyber security, defence and space.

Theoretical Foundations of Artificial General Intelligence
  • Language: en
  • Pages: 332

Theoretical Foundations of Artificial General Intelligence

This book is a collection of writings by active researchers in the field of Artificial General Intelligence, on topics of central importance in the field. Each chapter focuses on one theoretical problem, proposes a novel solution, and is written in sufficiently non-technical language to be understandable by advanced undergraduates or scientists in allied fields. This book is the very first collection in the field of Artificial General Intelligence (AGI) focusing on theoretical, conceptual, and philosophical issues in the creation of thinking machines. All the authors are researchers actively developing AGI projects, thus distinguishing the book from much of the theoretical cognitive science ...

Prediction, Learning, and Games
  • Language: en
  • Pages: 4

Prediction, Learning, and Games

This important text and reference for researchers and students in machine learning, game theory, statistics and information theory offers a comprehensive treatment of the problem of predicting individual sequences. Unlike standard statistical approaches to forecasting, prediction of individual sequences does not impose any probabilistic assumption on the data-generating mechanism. Yet, prediction algorithms can be constructed that work well for all possible sequences, in the sense that their performance is always nearly as good as the best forecasting strategy in a given reference class. The central theme is the model of prediction using expert advice, a general framework within which many related problems can be cast and discussed. Repeated game playing, adaptive data compression, sequential investment in the stock market, sequential pattern analysis, and several other problems are viewed as instances of the experts' framework and analyzed from a common nonstochastic standpoint that often reveals new and intriguing connections.

Artificial General Intelligence
  • Language: en
  • Pages: 518

Artificial General Intelligence

“Only a small community has concentratedon general intelligence. No one has tried to make a thinking machine . . . The bottom line is that we really haven’t progressed too far toward a truly intelligent machine. We have collections of dumb specialists in small domains; the true majesty of general intelligence still awaits our attack. . . . We have got to get back to the deepest questions of AI and general intelligence. . . ” –MarvinMinsky as interviewed in Hal’s Legacy, edited by David Stork, 2000. Our goal in creating this edited volume has been to ?ll an apparent gap in the scienti?c literature, by providing a coherent presentation of a body of contemporary research that, in spit...

Bandit Algorithms
  • Language: en
  • Pages: 537

Bandit Algorithms

A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.

Advances in Knowledge Discovery and Data Mining
  • Language: en
  • Pages: 1098

Advances in Knowledge Discovery and Data Mining

  • Type: Book
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  • Published: 2009-04-21
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  • Publisher: Springer

This book constitutes the refereed proceedings of the 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2009, held in Bangkok, Thailand, in April 2009. The 39 revised full papers and 73 revised short papers presented together with 3 keynote talks were carefully reviewed and selected from 338 submissions. The papers present new ideas, original research results, and practical development experiences from all KDD-related areas including data mining, data warehousing, machine learning, databases, statistics, knowledge acquisition, automatic scientific discovery, data visualization, causal induction, and knowledge-based systems.

Get Me Out: A History of Childbirth from the Garden of Eden to the Sperm Bank
  • Language: en
  • Pages: 353

Get Me Out: A History of Childbirth from the Garden of Eden to the Sperm Bank

"[An] engrossing survey of the history of childbirth." —Stephen Lowman, Washington Post Making and having babies—what it takes to get pregnant, stay pregnant, and deliver—have mystified women and men throughout human history. The insatiably curious Randi Hutter Epstein journeys through history, fads, and fables, and to the fringe of science. Here is an entertaining must-read—an enlightening celebration of human life.