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Updated: Jul 30, 2025
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RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
Published on: July 17, 2021
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Relating relational networks: An initial experimental analysis
Cainã T Gomes1,2, William F Perez1,3, Dermot Barnes-Holmes4
1Instituto Par - Ciências Comportamento, São Paulo, Brazil.
Journal of the Experimental Analysis of Behavior
|May 12, 2023
Summary
This study demonstrates how to establish relations within and across networks using comparative cues. Researchers successfully trained participants to relate different networks, showing effective antecedent control over behavior.
Area of Science:
- Behavioral Psychology
- Cognitive Science
- Linguistics
Background:
- Relational network analysis is complex.
- Understanding how humans relate information is crucial for cognitive and linguistic studies.
Purpose of the Study:
- To demonstrate relating within and across relational networks using same/opposite and bigger/smaller cues.
- To establish antecedent control over relational responding.
- To investigate the role of pretraining in relational responding.
Main Methods:
- Nonarbitrary pretraining of contextual cues.
- Establishing nonsense stimulus classes based on comparative relations.
- Training participants to select stimuli based on symbolic rules relating two networks.
- Systematically varying reinforcing and punishing consequences.
Main Results:
- Seven of eight participants mastered training and testing criteria in Experiment 1.
- All 7 participants in Experiment 1 showed antecedent control with novel stimuli.
- Four of seven participants met criteria in Experiment 2 (natural language cues).
- All eight participants met criteria in Experiment 3 (pretraining effects).
Conclusions:
- The study successfully demonstrated a method for analyzing relational networks.
- Antecedent control was established using both nonsense and natural language cues.
- Pretraining appears to enhance relational responding, particularly with natural language.
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