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Artificial General Intelligence

Part of the Cognitive Technologies Book Series

Editors: Goertzel, Ben; Pennachin, Cassio

DOI: 10.1007/978-3-540-68677-4

ISBN: 978-3-540-23733-4

Publisher: Springer Berlin Heidelberg - Springer Journals

Jan 1, 2007

1 - 10 of 12 Chapters

Available

Contemporary Approaches to Artificial General Intelligence

Pennachin, Cassio; Goertzel, Ben

Pages: 1 –30
Available

The Logic of Intelligence

Wang, Pei

Pages: 31 –62

[Is there an “essence of intelligence” that distinguishes intelligent systems from non-intelligent systems? If there is, then what is it? This chapter suggests an answer to these questions by introducing the ideas behind the NARS (Nonaxiomatic Reasoning System) project. NARS is based on the...
Available

The Novamente Artificial Intelligence Engine

Goertzel, Ben; Pennachin, Cassio

Pages: 63 –129

[The Novamente AI Engine, a novel AI software system, is briefly reviewed. Novamente is an integrative artificial general intelligence design, which integrates aspects of many prior AI projects and paradigms, including symbolic, probabilistic, evolutionary programming and reinforcement learning...
Available

Essentials of General Intelligence: The Direct Path to Artificial General Intelligence

Voss, Peter

Pages: 131 –157

[Understanding general intelligence and identifying its essential components are key to building next-generation AI systems — systems that are far less expensive, yet significantly more capable. In addition to concentrating on general learning abilities, a fast-track approach should also seek a...
Available

Artificial Brains

de Garis, Hugo

Pages: 159 –174

[This chapter introduces the idea of “Evolvable Hardware,” which applies evolutionary algorithms to the generation of programmable hardware as a means of achieving Artificial Intelligence. Cellular Automata-based Neural Networks are evolved in different modules, which form the components of...
Available

The New AI: General & Sound & Relevant for Physics

Schmidhuber, Jürgen

Pages: 175 –198

[Most traditional artificial intelligence (AI) systems of the past 50 years are either very limited, or based on heuristics, or both. The new millennium, however, has brought substantial progress in the field of theoretically optimal and practically feasible algorithms for prediction, search,...
Available

Gödel Machines: Fully Self-referential Optimal Universal Self-improvers

Schmidhuber, Jürgen

Pages: 199 –226

[We present the first class of mathematically rigorous, general, fully self-referential, self-improving, optimally efficient problem solvers. Inspired by Kurt Gödel’s celebrated self-referential formulas (1931), such a problem solver rewrites any part of its own code as soon as it has found a...
Available

Universal Algorithmic Intelligence: A Mathematical Top→Down Approach

Hutter, Marcus

Pages: 227 –290

[Sequential decision theory formally solves the problem of rational agents in uncertain worlds if the true environmental prior probability distribution is known. Solomonoff’s theory of universal induction formally solves the problem of sequence prediction for unknown prior distribution. We...
Available

Program Search as a Path to Artificial General Intelligence

Kaiser, Lukasz

Pages: 291 –326

[It is difficult to develop an adequate mathematical definition of intelligence. Therefore we consider the general problem of searching for programs with specified properties and we argue, using the Church-Turing thesis, that it covers the informal meaning of intelligence. The program search...
Available

The Natural Way to Artificial Intelligence

Red’ko, Vladimir G.

Pages: 327 –351

[The chapter argues that the investigations of evolutionary processes that result in human intelligence by means of mathematical/computer models can be a serious scientific basis of AI research. The “intelligent inventions” of biological evolution (unconditional reflex, habituation, conditional...

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