Download e-book for iPad: Artificial General Intelligence 2008:Proceedings of the by Pei Wang, Ben Goertzel, Stan Franklin

By Pei Wang, Ben Goertzel, Stan Franklin

ISBN-10: 1586038338

ISBN-13: 9781586038335

The sector of man-made Intelligence (AI) was once at the beginning at once geared toward the development of 'thinking machines' - that's, computers with human-like basic intelligence. yet this activity proved more challenging than anticipated. because the years handed, AI researchers progressively shifted concentration to generating AI platforms that intelligently approached particular projects in rather slim domain names. in recent times, even if, a growing number of AI researchers have well-known the need - and the feasibility - of returning to the unique target of the sphere. more and more, there's a name to concentration much less on hugely really expert 'narrow AI' challenge fixing platforms, and extra on confronting the tricky matters inquisitive about growing 'human-level intelligence', and eventually normal intelligence that is going past the human point in quite a few methods. synthetic common Intelligence (AGI), as this renewed concentration has become referred to as, makes an attempt to review and reproduce intelligence as an entire in a website autonomous means. inspired through the new luck of a number of smaller-scale AGI-related conferences and detailed tracks at meetings, the initiative to prepare the first actual foreign convention on AGI was once taken, with the target to provide researchers within the box a chance to give appropriate examine effects and to switch rules on themes of universal curiosity. during this assortment you'll find the convention papers: full-length papers, brief place statements and in addition the papers offered within the put up convention workshop at the sociocultural, moral and futurological implications of AGI.

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Extra resources for Artificial General Intelligence 2008:Proceedings of the First AGI Conference

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26 T. Achler and E. , Input shunt networks. Neurocomputing, 2002. 44: p. 249-255. , Object classification with recurrent feedback neural networks. Proc. SPIE Evolutionary and Bio-inspired Computation: Theory and Applications, 2007. 6563. E. J. Sejnowski, Unsupervised learning : foundations of neural computation. Computational neuroscience. : MIT Press. xvi, 398 p. L. and S. Papert, Perceptrons; an introduction to computational geometry. ,: MIT Press. 258 p. , The perceptron: a probabilistic model for information storage and organization in the brain.

Priorities are considered as extra-logical data that is exploited by an iterative process that first computes interpretations that are as close as possible to higher-levelled subtheories, and then makes preference among those interpretations according to their closeness to lower-levelled subtheories. The goal of our work is to examine these principles and to show that they reflect a variety of methods for maintaining imprecise information. 1 2. Distance-based Entailments for Prioritized Theories Let L be a propositional language with a finite set Atoms of atomic formulas.

Identity Preservation: ∀u, v ∈ U d(u, v) = 0 iff u = v. A distance function on U is a pseudo distance on U with the following property: Triangulation: ∀u, v, w ∈ U d(u, v) ≤ d(u, w) + d(w, v). Example 5 The following two functions are distances on ΛAtoms . • The drastic distance: dU (ν, μ) = 0 if ν = μ and dU (ν, μ) = 1 otherwise. • The Hamming distance: dH (ν, μ) = |{p ∈ Atoms | ν(p) = μ(p)} |. 2 Definition 6 A numeric aggregation function f is a total function that accepts a multiset of real numbers and returns a real number.

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Artificial General Intelligence 2008:Proceedings of the First AGI Conference by Pei Wang, Ben Goertzel, Stan Franklin

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