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) | 1 |
Descriptor
Causal Models | 2 |
Prediction | 2 |
Attribution Theory | 1 |
Bias | 1 |
Cognitive Processes | 1 |
Context Effect | 1 |
Cues | 1 |
Experiments | 1 |
Influences | 1 |
Intervention | 1 |
Intuition | 1 |
More ▼ |
Source
Cognitive Science | 2 |
Publication Type
Journal Articles | 2 |
Reports - Descriptive | 1 |
Reports - Research | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Waldmann, Michael R. – Cognitive Science, 2007
In everyday life, people typically observe fragments of causal networks. From this knowledge, people infer how novel combinations of causes they may never have observed together might behave. I report on 4 experiments that address the question of how people intuitively integrate multiple causes to predict a continuously varying effect. Most…
Descriptors: Cues, Context Effect, Prediction, Intuition
Sloman, Steven A.; Lagnado, David A. – Cognitive Science, 2005
A normative framework for modeling causal and counterfactual reasoning has been proposed by Spirtes, Glymour, and Scheines (1993; cf. Pearl, 2000). The framework takes as fundamental that reasoning from observation and intervention differ. Intervention includes actual manipulation as well as counterfactual manipulation of a model via thought. To…
Descriptors: Observation, Intervention, Causal Models, Prediction