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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...
Frontiers in computational neuroscience
Swansea University Author:
Darren Edwards
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DOI (Published version): 10.3389/fncom.2024.1395901
Abstract
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
Published in: | Frontiers in computational neuroscience |
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Published: |
2024
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URI: | https://cronfa.swan.ac.uk/Record/cronfa66966 |
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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 |
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bee507022c083d875238b7802b96cbeb_***_Darren Edwards |
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Darren Edwards |
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Frontiers in computational neuroscience |
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published_date |
2024-07-04T23:32:04Z |
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