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Artificial cognition architectures
The goal of this book is to establish the foundation, principles, theory, and concepts that are the backbone of real, autonomous Artificial Intelligence. Presented here are some basic human intelligence concepts framed for Artificial Intelligence systems. These include concepts like Metacognition an...
Autores principales: | , , |
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Lenguaje: | eng |
Publicado: |
Springer
2013
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1007/978-1-4614-8072-3 http://cds.cern.ch/record/1620122 |
_version_ | 1780933085010853888 |
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author | Crowder, James A Carbone, John N Friess, Shelli A |
author_facet | Crowder, James A Carbone, John N Friess, Shelli A |
author_sort | Crowder, James A |
collection | CERN |
description | The goal of this book is to establish the foundation, principles, theory, and concepts that are the backbone of real, autonomous Artificial Intelligence. Presented here are some basic human intelligence concepts framed for Artificial Intelligence systems. These include concepts like Metacognition and Metamemory, along with architectural constructs for Artificial Intelligence versions of human brain functions like the prefrontal cortex. Also presented are possible hardware and software architectures that lend themselves to learning, reasoning, and self-evolution |
id | cern-1620122 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2013 |
publisher | Springer |
record_format | invenio |
spelling | cern-16201222021-04-21T21:53:50Zdoi:10.1007/978-1-4614-8072-3http://cds.cern.ch/record/1620122engCrowder, James ACarbone, John NFriess, Shelli AArtificial cognition architecturesComputing and ComputersThe goal of this book is to establish the foundation, principles, theory, and concepts that are the backbone of real, autonomous Artificial Intelligence. Presented here are some basic human intelligence concepts framed for Artificial Intelligence systems. These include concepts like Metacognition and Metamemory, along with architectural constructs for Artificial Intelligence versions of human brain functions like the prefrontal cortex. Also presented are possible hardware and software architectures that lend themselves to learning, reasoning, and self-evolutionSpringeroai:cds.cern.ch:16201222013 |
spellingShingle | Computing and Computers Crowder, James A Carbone, John N Friess, Shelli A Artificial cognition architectures |
title | Artificial cognition architectures |
title_full | Artificial cognition architectures |
title_fullStr | Artificial cognition architectures |
title_full_unstemmed | Artificial cognition architectures |
title_short | Artificial cognition architectures |
title_sort | artificial cognition architectures |
topic | Computing and Computers |
url | https://dx.doi.org/10.1007/978-1-4614-8072-3 http://cds.cern.ch/record/1620122 |
work_keys_str_mv | AT crowderjamesa artificialcognitionarchitectures AT carbonejohnn artificialcognitionarchitectures AT friessshellia artificialcognitionarchitectures |