An alternative to the black box: Strategy learning

Simon Taub; Oleg S. Pianykh

doi:10.1371/journal.pone.0264485

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Open Access

Peer-reviewed

Research Article

An alternative to the black box: Strategy learning

Simon Taub,

Roles Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Writing – original draft, Writing – review & editing

Affiliation Department of Computer Science, University of California, Los Angeles, CA, United States of America

https://orcid.org/0000-0002-1880-3165

⨯
Oleg S. Pianykh

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft

* E-mail: opiany@gmail.com

Affiliation Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America

https://orcid.org/0000-0002-9107-5432

⨯

An alternative to the black box: Strategy learning

Simon Taub,
Oleg S. Pianykh

Published: March 18, 2022
https://doi.org/10.1371/journal.pone.0264485

About the Authors

Simon Taub

Roles Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Writing – original draft, Writing – review & editing

Affiliation Department of Computer Science, University of California, Los Angeles, CA, United States of America

https://orcid.org/0000-0002-1880-3165

Oleg S. Pianykh

Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft

* E-mail: opiany@gmail.com

Affiliation Department of Radiology, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States of America

https://orcid.org/0000-0002-9107-5432

Competing Interests

The authors have declared that no competing interests exist.

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Decision tree learning
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Decision making
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Decision trees
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Machine learning
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Machine learning algorithms
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Jobs
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Human performance
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Human learning
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