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Common coding in symbolic matching tasks with humans: training with a common consequence or antecedent
1Psychology Department, Brooklyn College-CUNY, New York 11210, USA. andrewd@brooklyn.cuny.edu
Summary
Training with common consequences, not common antecedents, enhances common coding in symbolic matching tasks. This finding supports associative theories explaining how humans learn complex symbolic relationships.
Area of Science:
- Cognitive Psychology
- Behavioral Science
- Learning and Memory
Background:
- Common coding is a phenomenon where different stimuli evoke shared representations.
- Understanding common coding is crucial for explaining how humans learn and generalize symbolic relationships.
- Symbolic matching-to-sample tasks are widely used to investigate learning and cognitive processes.
Purpose of the Study:
- To investigate the role of common antecedents versus common consequences in establishing common coding.
- To examine common coding in many-to-one (MTO) and one-to-many (OTM) symbolic matching tasks.
- To test predictions derived from associative mediational approaches to common coding.
Main Methods:
- Human subjects performed symbolic matching-to-sample tasks under MTO and OTM conditions.
- Reversal and transfer tests were employed to assess the degree of common coding.
- Experiment 1 used reversal tests to compare learning under different contingency structures.
- Experiment 2 used transfer tests to evaluate performance based on consistency of common coding relations.
Main Results:
- Evidence for common coding was found in both MTO and OTM tasks across both experiments.
- Common coding was more pronounced in the MTO discrimination compared to OTM in Experiment 1.
- Performance in transfer tests indicated the influence of previously established common coding relations.
Conclusions:
- The findings support associative mediational theories of common coding.
- Training with a common consequence appears more effective in establishing common coding than training with a common antecedent.
- These results provide insights into the fundamental mechanisms underlying symbolic learning and generalization.