Literature DB >> 27567318

Explanatory Preferences Shape Learning and Inference.

Tania Lombrozo1.   

Abstract

Explanations play an important role in learning and inference. People often learn by seeking explanations, and they assess the viability of hypotheses by considering how well they explain the data. An emerging body of work reveals that both children and adults have strong and systematic intuitions about what constitutes a good explanation, and that these explanatory preferences have a systematic impact on explanation-based processes. In particular, people favor explanations that are simple and broad, with the consequence that engaging in explanation can shape learning and inference by leading people to seek patterns and favor hypotheses that support broad and simple explanations. Given the prevalence of explanation in everyday cognition, understanding explanation is therefore crucial to understanding learning and inference.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  abduction; breadth; explanation; inference; learning; simplicity

Mesh:

Year:  2016        PMID: 27567318     DOI: 10.1016/j.tics.2016.08.001

Source DB:  PubMed          Journal:  Trends Cogn Sci        ISSN: 1364-6613            Impact factor:   20.229


  4 in total

1.  Shared understanding of color among sighted and blind adults.

Authors:  Judy Sein Kim; Brianna Aheimer; Verónica Montané Manrara; Marina Bedny
Journal:  Proc Natl Acad Sci U S A       Date:  2021-08-17       Impact factor: 11.205

2.  Explanatory preferences for complexity matching.

Authors:  Jonathan B Lim; Daniel M Oppenheimer
Journal:  PLoS One       Date:  2020-04-21       Impact factor: 3.240

3.  How Does Explanatory Virtue Determine Probability Estimation?-Empirical Discussion on Effect of Instruction.

Authors:  Asaya Shimojo; Kazuhisa Miwa; Hitoshi Terai
Journal:  Front Psychol       Date:  2020-12-09

4.  Machine Teaching for Human Inverse Reinforcement Learning.

Authors:  Michael S Lee; Henny Admoni; Reid Simmons
Journal:  Front Robot AI       Date:  2021-06-30
  4 in total

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