Literature DB >> 23884687

A taxonomy of inductive problems.

Charles Kemp1, Alan Jern.   

Abstract

Inductive inferences about objects, features, categories, and relations have been studied for many years, but there are few attempts to chart the range of inductive problems that humans are able to solve. We present a taxonomy of inductive problems that helps to clarify the relationships between familiar inductive problems such as generalization, categorization, and identification, and that introduces new inductive problems for psychological investigation. Our taxonomy is founded on the idea that semantic knowledge is organized into systems of objects, features, categories, and relations, and we attempt to characterize all of the inductive problems that can arise when these systems are partially observed. Recent studies have begun to address some of the new problems in our taxonomy, and future work should aim to develop unified theories of inductive reasoning that explain how people solve all of the problems in the taxonomy.

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Year:  2014        PMID: 23884687     DOI: 10.3758/s13423-013-0467-3

Source DB:  PubMed          Journal:  Psychon Bull Rev        ISSN: 1069-9384


  61 in total

1.  Generalization, similarity, and Bayesian inference.

Authors:  J B Tenenbaum; T L Griffiths
Journal:  Behav Brain Sci       Date:  2001-08       Impact factor: 12.579

2.  A rational analysis of rule-based concept learning.

Authors:  Noah D Goodman; Joshua B Tenenbaum; Jacob Feldman; Thomas L Griffiths
Journal:  Cogn Sci       Date:  2008-01-02

3.  A rational model of the effects of distributional information on feature learning.

Authors:  Joseph L Austerweil; Thomas L Griffiths
Journal:  Cogn Psychol       Date:  2011-09-20       Impact factor: 3.468

4.  The magical number seven plus or minus two: some limits on our capacity for processing information.

Authors:  G A MILLER
Journal:  Psychol Rev       Date:  1956-03       Impact factor: 8.934

5.  Induction and categorization in young children: a similarity-based model.

Authors:  Vladimir M Sloutsky; Anna V Fisher
Journal:  J Exp Psychol Gen       Date:  2004-06

6.  A probabilistic model of theory formation.

Authors:  Charles Kemp; Joshua B Tenenbaum; Sourabh Niyogi; Thomas L Griffiths
Journal:  Cognition       Date:  2009-11-04

7.  Infant habituation and generalization to differing degrees of stimulus novelty.

Authors:  L B Cohen; E R Gelber; M A Lazar
Journal:  J Exp Child Psychol       Date:  1971-06

8.  Form-function correspondences in children's inference.

Authors:  N S McCarrell; M A Callanan
Journal:  Child Dev       Date:  1995-04

9.  Category and feature identification.

Authors:  Charles Kemp; Kai-min K Chang; Luigi Lombardi
Journal:  Acta Psychol (Amst)       Date:  2010-01-18

10.  A theory of the discovery and predication of relational concepts.

Authors:  Leonidas A A Doumas; John E Hummel; Catherine M Sandhofer
Journal:  Psychol Rev       Date:  2008-01       Impact factor: 8.934

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  6 in total

1.  Category-based induction from similarity of neural activation.

Authors:  Matthew J Weber; Daniel Osherson
Journal:  Cogn Affect Behav Neurosci       Date:  2014-03       Impact factor: 3.526

2.  FN400 amplitudes reveal the differentiation of semantic inferences within natural vs. artificial domains.

Authors:  Changquan Long; Mingming Zhang; Ruifang Cui; Jie Chen
Journal:  Sci Rep       Date:  2018-08-17       Impact factor: 4.379

3.  Neural Oscillation Profiles of a Premise Monotonicity Effect During Semantic Category-Based Induction.

Authors:  Mingze Sun; Feng Xiao; Changquan Long
Journal:  Front Hum Neurosci       Date:  2019-10-15       Impact factor: 3.169

Review 4.  Computational Models of Emotion Inference in Theory of Mind: A Review and Roadmap.

Authors:  Desmond C Ong; Jamil Zaki; Noah D Goodman
Journal:  Top Cogn Sci       Date:  2018-07-31

5.  P3a amplitude is related to conclusion specificity during category-based induction.

Authors:  Hong Wang; Ruifang Cui; Changquan Long
Journal:  PLoS One       Date:  2020-03-04       Impact factor: 3.240

6.  Young Children's Inductive Inferences Within Animals Are Affected by Whether Animals Are Presented Anthropomorphically in Films.

Authors:  Andrzej Tarłowski; Eliza Rybska
Journal:  Front Psychol       Date:  2021-06-03
  6 in total

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