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Artificial General Intelligence [electronic resource] : 9th International Conference, AGI 2016, New York, NY, USA, July 16-19, 2016, Proceedings / edited by Bas Steunebrink, Pei Wang, Ben Goertzel.

Contributor(s): Steunebrink, Bas [editor.] | Wang, Pei [editor.] | Goertzel, Ben [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Artificial Intelligence: 9782Publisher: Cham : Springer International Publishing : Imprint: Springer, 2016Edition: 1st ed. 2016.Description: XI, 364 p. 55 illus. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783319416496.Subject(s): Artificial intelligence | Computer science | Algorithms | Pattern recognition systems | Application software | Artificial Intelligence | Theory of Computation | Algorithms | Automated Pattern Recognition | Computer and Information Systems ApplicationsAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.3 Online resources: Click here to access online
Contents:
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.
In: Springer Nature eBookSummary: 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.
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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.

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.

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