Engineering General Intelligence, Part 2 The CogPrime Architecture for Integrative, Embodied AGI /

The work outlines a detailed blueprint for the creation of an Artificial General Intelligence system with capability at the human level and ultimately beyond, according to the Cog Prime AGI design and the Open Cog software architecture.

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Goertzel, Ben (Autor), Pennachin, Cassio (Autor), Geisweiller, Nil (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Paris : Atlantis Press : Imprint: Atlantis Press, 2014.
Edición:1st ed. 2014.
Colección:Atlantis Thinking Machines, 6
Temas:
Artificial intelligence.
Artificial Intelligence.
Acceso en línea:Texto Completo

MARC

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100 1 |a Goertzel, Ben.  |e author.  |0 (orcid)0000-0002-2787-3464  |1 https://orcid.org/0000-0002-2787-3464  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
245 1 0 |a Engineering General Intelligence, Part 2  |h [electronic resource] :  |b The CogPrime Architecture for Integrative, Embodied AGI /  |c by Ben Goertzel, Cassio Pennachin, Nil Geisweiller. 
250 |a 1st ed. 2014. 
264 1 |a Paris :  |b Atlantis Press :  |b Imprint: Atlantis Press,  |c 2014. 
300 |a XXII, 562 p. 42 illus., 9 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Atlantis Thinking Machines,  |x 1877-3281 ;  |v 6 
505 0 |a The Open Cog Framework -- Knowledge Representation Using the Atomspace -- Representing Procedural Knowledge -- Emotion, Motivation, Attention and Control -- Attention Allocation -- Economic Goal and Action Selection -- Integrative Procedure Evaluation -- Perceptual and Motor Hierarchies -- Integrating Cog Prime with a Compositional Spatiotemporal Deep Learning Network -- Making DeSTIN Representationally Transparent -- Bridging the Symbolic/Subsymbolic Gap -- Procedure Learning as Program Learning -- Learning Procedures via Imitation, Reinforcement and Correction -- Procedure Learning via Adaptively Biased Hillclimbing -- Probabilistic Evolutionary Procedure Learning -- Probabilistic Logic Networks -- Spatio-Temporal Inference -- Adaptive, Integrative Inference Control -- Pattern Mining. -- Speculative Concept Formation -- Dimensional Embedding -- Mental Simulation and Episodic Memory -- Integrative Procedure Learning -- Map Formation -- Communication Between Artificial Minds -- Natural Language Comprehension -- Language Learning via Unsupervised Corpus Analysis -- Natural Language Generation -- Embodied Language Processing -- Natural Language Dialogue -- Summary of Argument for the Cog Prime Approach. 
520 |a The work outlines a detailed blueprint for the creation of an Artificial General Intelligence system with capability at the human level and ultimately beyond, according to the Cog Prime AGI design and the Open Cog software architecture. 
650 0 |a Artificial intelligence. 
650 1 4 |a Artificial Intelligence. 
700 1 |a Pennachin, Cassio.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
700 1 |a Geisweiller, Nil.  |e author.  |4 aut  |4 http://id.loc.gov/vocabulary/relators/aut 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9789462390294 
776 0 8 |i Printed edition:  |z 9789462390317 
830 0 |a Atlantis Thinking Machines,  |x 1877-3281 ;  |v 6 
856 4 0 |u https://doi.uam.elogim.com/10.2991/978-94-6239-030-0  |z Texto Completo 
912 |a ZDB-2-SCS 
912 |a ZDB-2-SXCS 
950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710) 

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