Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 5 |
Descriptor
Inferences | 5 |
Probability | 5 |
Cognitive Processes | 2 |
Language Processing | 2 |
Logical Thinking | 2 |
Preschool Children | 2 |
Semantics | 2 |
Adults | 1 |
Age Differences | 1 |
Attribution Theory | 1 |
Bayesian Statistics | 1 |
More ▼ |
Source
Cognition | 5 |
Author
Griffiths, Thomas L. | 2 |
Benz, Bjorn | 1 |
Bonawitz, Elizabeth | 1 |
Denison, Stephanie | 1 |
Douven, Igor | 1 |
Fisher, Anna V. | 1 |
Godwin, Karrie E. | 1 |
Gopnik, Alison | 1 |
Hertwig, Ralph | 1 |
Krauss, Stefan | 1 |
Matlen, Bryan J. | 1 |
More ▼ |
Publication Type
Journal Articles | 5 |
Reports - Research | 3 |
Reports - Evaluative | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Denison, Stephanie; Bonawitz, Elizabeth; Gopnik, Alison; Griffiths, Thomas L. – Cognition, 2013
We present a proposal--"The Sampling Hypothesis"--suggesting that the variability in young children's responses may be part of a rational strategy for inductive inference. In particular, we argue that young learners may be randomly sampling from the set of possible hypotheses that explain the observed data, producing different hypotheses with…
Descriptors: Sampling, Probability, Preschool Children, Inferences
Douven, Igor; Verbrugge, Sara – Cognition, 2010
According to Adams's Thesis, the acceptability of an indicative conditional sentence goes by the conditional probability of its consequent given its antecedent. We test, for the first time, whether this thesis is descriptively correct and show that it is not; in particular, we show that it yields the wrong predictions for people's judgments of the…
Descriptors: Prediction, Probability, Inferences, Sentences
Perfors, Amy; Tenenbaum, Joshua B.; Griffiths, Thomas L.; Xu, Fei – Cognition, 2011
We present an introduction to Bayesian inference as it is used in probabilistic models of cognitive development. Our goal is to provide an intuitive and accessible guide to the "what", the "how", and the "why" of the Bayesian approach: what sorts of problems and data the framework is most relevant for, and how and why it may be useful for…
Descriptors: Bayesian Statistics, Cognitive Psychology, Inferences, Cognitive Development
Fisher, Anna V.; Matlen, Bryan J.; Godwin, Karrie E. – Cognition, 2011
Prior research suggests that preschoolers can generalize object properties based on category information conveyed by semantically-similar labels. However, previous research did not control for co-occurrence probability of labels in natural speech. The current studies re-assessed children's generalization with semantically-similar labels.…
Descriptors: Semantics, Generalization, Probability, Inferences
Hertwig, Ralph; Benz, Bjorn; Krauss, Stefan – Cognition, 2008
According to the conjunction rule, the probability of A "and" B cannot exceed the probability of either single event. This rule reads "and" in terms of the logical operator [inverted v], interpreting A and B as an intersection of two events. As linguists have long argued, in natural language "and" can convey a wide range of relationships between…
Descriptors: Semantics, Form Classes (Languages), Probability, Inferences