Nature’s Algorithms for Learning and Prospering in a Complex World
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Nature’s Algorithms for Learning and Prospering in a Complex World is a popular science book by computer scientist Leslie Valiant that explores how ideas from computational learning theory and evolution explain intelligence, adaptation, and success in complex environments.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Nature’s Algorithms for Learning and Prospering in a Complex World canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T14721127 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nature’s Algorithms for Learning and Prospering in a Complex World Context triple: [Probably Approximately Correct, subtitle, Nature’s Algorithms for Learning and Prospering in a Complex World]
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A.
Searching for Order in the Complexity of Evolving Worlds
"Searching for Order in the Complexity of Evolving Worlds" is the guiding motto of the Santa Fe Institute, reflecting its focus on understanding complex adaptive systems across disciplines.
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B.
Biological and Artificial Computation
Biological and Artificial Computation is a scholarly work by Terrence Sejnowski that explores how principles of biological neural systems can inform and inspire computational and artificial intelligence models.
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C.
Darwin Among the Machines
"Darwin Among the Machines" is a non-fiction book by George Dyson that explores the historical development and philosophical implications of artificial intelligence and digital evolution.
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D.
Living with Complexity
"Living with Complexity" is a book by cognitive scientist and design theorist Donald A. Norman that explores how thoughtful design can help people understand and manage the inherent complexity of modern technologies and systems.
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E.
The Master Algorithm
The Master Algorithm is a popular science book by Pedro Domingos that explores the unification of different machine learning paradigms into a single, overarching "master" learning algorithm.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nature’s Algorithms for Learning and Prospering in a Complex World Target entity description: Nature’s Algorithms for Learning and Prospering in a Complex World is a popular science book by computer scientist Leslie Valiant that explores how ideas from computational learning theory and evolution explain intelligence, adaptation, and success in complex environments.
-
A.
Searching for Order in the Complexity of Evolving Worlds
"Searching for Order in the Complexity of Evolving Worlds" is the guiding motto of the Santa Fe Institute, reflecting its focus on understanding complex adaptive systems across disciplines.
-
B.
Biological and Artificial Computation
Biological and Artificial Computation is a scholarly work by Terrence Sejnowski that explores how principles of biological neural systems can inform and inspire computational and artificial intelligence models.
-
C.
Darwin Among the Machines
"Darwin Among the Machines" is a non-fiction book by George Dyson that explores the historical development and philosophical implications of artificial intelligence and digital evolution.
-
D.
Living with Complexity
"Living with Complexity" is a book by cognitive scientist and design theorist Donald A. Norman that explores how thoughtful design can help people understand and manage the inherent complexity of modern technologies and systems.
-
E.
The Master Algorithm
The Master Algorithm is a popular science book by Pedro Domingos that explores the unification of different machine learning paradigms into a single, overarching "master" learning algorithm.
- F. None of above. chosen
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
“Probably Approximately Correct” (book)
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subtitle
→
Nature’s Algorithms for Learning and Prospering in a Complex World
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subject surface form:
Probably Approximately Correct