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      Abstraction and analogy‐making in artificial intelligence

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      Annals of the New York Academy of Sciences
      Wiley

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          Deep Residual Learning for Image Recognition

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            What one intelligence test measures: a theoretical account of the processing in the Raven Progressive Matrices Test.

            The cognitive processes in a widely used, nonverbal test of analytic intelligence, the Raven Progressive Matrices Test (Raven, 1962), are analyzed in terms of which processes distinguish between higher scoring and lower scoring subjects and which processes are common to all subjects and all items on the test. The analysis is based on detailed performance characteristics, such as verbal protocols, eye-fixation patterns, and errors. The theory is expressed as a pair of computer simulation models that perform like the median or best college students in the sample. The processing characteristic common to all subjects is an incremental, reiterative strategy for encoding and inducing the regularities in each problem. The processes that distinguish among individuals are primarily the ability to induce abstract relations and the ability to dynamically manage a large set of problem-solving goals in working memory.
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              Core knowledge.

              Human cognition is founded, in part, on four systems for representing objects, actions, number, and space. It may be based, as well, on a fifth system for representing social partners. Each system has deep roots in human phylogeny and ontogeny, and it guides and shapes the mental lives of adults. Converging research on human infants, non-human primates, children and adults in diverse cultures can aid both understanding of these systems and attempts to overcome their limits.
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                Author and article information

                Journal
                Annals of the New York Academy of Sciences
                Annals NY Academy of Science
                Wiley
                0077-8923
                1749-6632
                December 2021
                June 25 2021
                December 2021
                : 1505
                : 1
                : 79-101
                Affiliations
                [1 ]Santa Fe Institute Santa Fe New Mexico
                Article
                10.1111/nyas.14619
                34173249
                afb3e398-07dd-4dc9-973d-c369c2c5f6a9
                © 2021

                http://onlinelibrary.wiley.com/termsAndConditions#am

                http://onlinelibrary.wiley.com/termsAndConditions#vor

                http://doi.wiley.com/10.1002/tdm_license_1.1

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