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) | 2 |
Descriptor
Associative Learning | 2 |
Foreign Countries | 2 |
Probability | 2 |
Attribution Theory | 1 |
Bayesian Statistics | 1 |
Classification | 1 |
Computation | 1 |
Cues | 1 |
Evidence | 1 |
Experience | 1 |
Experiments | 1 |
More ▼ |
Publication Type
Journal Articles | 2 |
Reports - Research | 2 |
Education Level
Audience
Location
Australia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Craig, Stewart; Lewandowsky, Stephan; Little, Daniel R. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2011
The assumption in some current theories of probabilistic categorization is that people gradually attenuate their learning in response to unavoidable error. However, existing evidence for this error discounting is sparse and open to alternative interpretations. We report 2 probabilistic-categorization experiments in which we investigated error…
Descriptors: Evidence, Feedback (Response), Associative Learning, Classification
Buehner, Marc J.; May, Jon – Journal of Problem Solving, 2009
Contemporary theories of Human Causal Induction assume that causal knowledge is inferred from observable contingencies. While this assumption is well supported by empirical results, it fails to consider an important problem-solving aspect of causal induction in real time: In the absence of well structured learning trials, it is not clear whether…
Descriptors: Attribution Theory, Problem Solving, Logical Thinking, Time