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A functional contextual, observer-centric, quantum mechanical, and neurosymbolic approach to solving the alignment problem of artificial general intelligence: Safe AI through intersecting computational psychological neuroscience a...

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Frontiers in computational neuroscience

Swansea University Author: Darren Edwards Orcid Logo

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DOI (Published version): 10.3389/fncom.2024.1395901

Published in: Frontiers in computational neuroscience
Published: 2024
URI: https://cronfa.swan.ac.uk/Record/cronfa66966
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first_indexed 2024-07-04T22:32:04Z
last_indexed 2024-07-04T22:32:04Z
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spelling v2 66966 2024-07-04 A functional contextual, observer-centric, quantum mechanical, and neurosymbolic approach to solving the alignment problem of artificial general intelligence: Safe AI through intersecting computational psychological neuroscience and LLM architecture for emergent theory of mind bee507022c083d875238b7802b96cbeb 0000-0002-2143-1198 Darren Edwards Darren Edwards true false 2024-07-04 HSOC Journal Article Frontiers in computational neuroscience 4 7 2024 2024-07-04 10.3389/fncom.2024.1395901 COLLEGE NANME Health and Social Care School COLLEGE CODE HSOC Swansea University 2024-07-04T23:32:03.5205559 2024-07-04T23:26:55.0036869 Faculty of Medicine, Health and Life Sciences School of Health and Social Care - Public Health Darren Edwards 0000-0002-2143-1198 1
title A functional contextual, observer-centric, quantum mechanical, and neurosymbolic approach to solving the alignment problem of artificial general intelligence: Safe AI through intersecting computational psychological neuroscience and LLM architecture for emergent theory of mind
spellingShingle A functional contextual, observer-centric, quantum mechanical, and neurosymbolic approach to solving the alignment problem of artificial general intelligence: Safe AI through intersecting computational psychological neuroscience and LLM architecture for emergent theory of mind
Darren Edwards
title_short A functional contextual, observer-centric, quantum mechanical, and neurosymbolic approach to solving the alignment problem of artificial general intelligence: Safe AI through intersecting computational psychological neuroscience and LLM architecture for emergent theory of mind
title_full A functional contextual, observer-centric, quantum mechanical, and neurosymbolic approach to solving the alignment problem of artificial general intelligence: Safe AI through intersecting computational psychological neuroscience and LLM architecture for emergent theory of mind
title_fullStr A functional contextual, observer-centric, quantum mechanical, and neurosymbolic approach to solving the alignment problem of artificial general intelligence: Safe AI through intersecting computational psychological neuroscience and LLM architecture for emergent theory of mind
title_full_unstemmed A functional contextual, observer-centric, quantum mechanical, and neurosymbolic approach to solving the alignment problem of artificial general intelligence: Safe AI through intersecting computational psychological neuroscience and LLM architecture for emergent theory of mind
title_sort A functional contextual, observer-centric, quantum mechanical, and neurosymbolic approach to solving the alignment problem of artificial general intelligence: Safe AI through intersecting computational psychological neuroscience and LLM architecture for emergent theory of mind
author_id_str_mv bee507022c083d875238b7802b96cbeb
author_id_fullname_str_mv bee507022c083d875238b7802b96cbeb_***_Darren Edwards
author Darren Edwards
author2 Darren Edwards
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container_title Frontiers in computational neuroscience
publishDate 2024
institution Swansea University
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hierarchy_top_title Faculty of Medicine, Health and Life Sciences
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published_date 2024-07-04T23:32:04Z
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