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Artificial general intelligence [electronic resource] : 9th International Conference, AGI 2016, New York, NY, July 16-19, 2016, proceedings / Bas Steunebrink, Pei Wang, Ben Goertzel (eds.).

AGI Conference (9th : 2016 : New York, N.Y.); Steunebrink, Bas, editor.; Wang, Pei, editor.; Goertzel, Ben, editor.
2016
Q334 .A35 2016eb
Available Online
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Title
Artificial general intelligence [electronic resource] : 9th International Conference, AGI 2016, New York, NY, July 16-19, 2016, proceedings / Bas Steunebrink, Pei Wang, Ben Goertzel (eds.).
Meeting Name
AGI Conference (9th : 2016 : New York, N.Y.)
ISBN
9783319416496 (electronic book)
3319416499 (electronic book)
9783319416489
Published
Switzerland : Springer, 2016.
Language
English
Description
1 online resource (xi, 364 pages) : illustrations.
Call Number
Q334 .A35 2016eb
Dewey Decimal Classification
006.3
Summary
This book constitutes the refereed proceedings of the 9th International Conference on Artificial General Intelligence, AGI 2016, held in New York City, NY, USA, in July 2016 as part of HLAI 2016, the Joint Multi-Conference on Human-Level Artificial Intelligence 2016. The 24 full papers, 2 short papers, and 10 poster papers presented were carefully reviewed and selected from 67 submissions. AGI research differs from the ordinary AI research by stressing on the versatility and wholeness of intelligence, and by carrying out the engineering practice according to an outline of a system comparable to the human mind inSelf a certain sense.
Bibliography, etc. Note
Includes bibliographical references and author index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed June 30, 2016).
Added Author
Steunebrink, Bas, editor.
Wang, Pei, editor.
Goertzel, Ben, editor.
Series
Lecture notes in computer science. Lecture notes in artificial intelligence ; 9782.
LNCS sublibrary. SL 7, Artificial intelligence.
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Record Appears in
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All Resources
Self modification of policy and utility function in rational agents
Avoiding wireheading with value reinforcement learning
Death and suicide in universal Artificial Intelligence
Ultimate Intelligence: Physical complexity and limits of inductive systems
Open ended intelligence
The AGI containment problem
Imitation learning as cause-effect reasoning
Some theorems in incremental compression
Rethinking sigma's graphical architecture: An extension to neural networks.

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