How to Create a Mind
E139154
"How to Create a Mind" is a nonfiction book by futurist Ray Kurzweil that explores the workings of human intelligence and proposes designs for advanced artificial intelligence based on the brain’s principles.
All labels observed (1)
| Label | Occurrences |
|---|---|
| How to Create a Mind canonical | 2 |
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
book about artificial intelligence
ⓘ
cognitive science book ⓘ nonfiction book ⓘ |
| advocates | reverse engineering the human brain ⓘ |
| aimsTo |
guide the design of advanced artificial intelligence
ⓘ
provide a theory of how the human mind works ⓘ |
| argues |
AI can surpass human intelligence
ⓘ
human intelligence is based on pattern recognition ⓘ the neocortex uses a repeated algorithm ⓘ |
| author | Ray Kurzweil ⓘ |
| compares | biological brains and digital computers ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| describes |
how the brain processes patterns
ⓘ
similarities between human and machine intelligence ⓘ structure of the neocortex ⓘ |
| genre |
artificial intelligence
ⓘ
nonfiction ⓘ popular science ⓘ technology ⓘ |
| hasPart |
case studies of existing AI systems
ⓘ
discussion of Turing test ⓘ discussion of consciousness ⓘ discussion of free will ⓘ discussion of future AI applications ⓘ discussion of hierarchical hidden Markov models ⓘ |
| influencedBy |
neuroscience research on the neocortex
ⓘ
pattern recognition algorithms ⓘ |
| ISBN | 978-0670025299 ⓘ |
| language | English ⓘ |
| mediaType |
audiobook
ⓘ
ebook ⓘ print ⓘ |
| notableFor |
linking brain science to AI engineering
ⓘ
popularizing pattern recognition theory of mind ⓘ |
| proposesConcept |
hierarchical pattern recognition in neocortex
ⓘ
pattern recognition theory of mind ⓘ |
| publicationDate | 2012 ⓘ |
| publisher |
Penguin Books
ⓘ
The Viking Press ⓘ
surface form:
Viking Press
|
| relatedWork |
The Age of Spiritual Machines
ⓘ
The Singularity Is Near ⓘ |
| subject |
artificial intelligence
ⓘ
brain modeling ⓘ cognitive science ⓘ future of AI ⓘ human intelligence ⓘ machine learning ⓘ neuroscience ⓘ pattern recognition ⓘ |
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.