
Kevin T. Kelly. Learning Theory and Descriptive Set Theory.
language learnability, Memory and learning in psychology, \(n\)-trial predicates, Learning and adaptive systems in artificial intelligence, recursive function identification, hypothesis assessment, Borel complexity, formal learning theory, FOS: Philosophy, ethics and religion, Philosophy, arithmetical complexity, ideal scientists, Applications of computability and recursion theory, computable scientists, inductive inference, Descriptive set theory
language learnability, Memory and learning in psychology, \(n\)-trial predicates, Learning and adaptive systems in artificial intelligence, recursive function identification, hypothesis assessment, Borel complexity, formal learning theory, FOS: Philosophy, ethics and religion, Philosophy, arithmetical complexity, ideal scientists, Applications of computability and recursion theory, computable scientists, inductive inference, Descriptive set theory
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| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
