Aging and the detection of contingency in causal learning
Sharon A Mutter1, Thomas W Williams
1Department of Psychology, Western Kentucky University, Bowling Green, KY 42101, USA. sharon.mutter@wku.edu
Older adults struggle more with detecting negative causal contingencies, especially when estimating numerical values. Response rate adaptation tasks showed smaller age differences in contingency learning.
Area of Science:
- Cognitive Psychology
- Developmental Psychology
- Neuroscience
Background:
- Understanding how age affects causal contingency learning is crucial for cognitive and developmental research.
- Previous studies suggest age-related declines in various cognitive functions, but specific impacts on contingency detection require further investigation.
Purpose of the Study:
- To investigate age-related differences in the detection of negative, random, and positive response-outcome contingencies.
- To compare contingency learning using estimation and response rate adaptation tasks across age groups.
Main Methods:
- Evaluated contingency detection in young and older adults using contingency estimation and response rate adaptation tasks.
- Assessed learning of negative, random, and positive causal relationships between responses and outcomes.
Main Results:
- Age differences in contingency estimation were larger for negative than positive contingencies.
- Response rate adaptation revealed smaller age-related differences in contingency learning compared to estimation.
- Detecting negative causal contingencies proved more challenging with age, particularly for numerical estimation.
Conclusions:
- Causal contingency detection, especially for negative relationships, becomes more difficult with advancing age.
- The method of measuring contingency learning (estimation vs. adaptation) influences the observed age differences.
- A combined associative and rule-based model best explains the observed age-related patterns in contingency learning.
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