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Updated: May 7, 2026

RBDT: A Computerized Task System based in Transposition for the Continuous Analysis of Relational Behavior Dynamics in Humans
Published on: July 17, 2021
A three-component model of relational responding in the transposition paradigm
Olga F Lazareva1, Michael E Young2, Edward A Wasserman3
1Department of Psychology.
This study introduces a new model for understanding pigeon transposition behavior, identifying generalized associative strength (g), relational disparity (r), and familiarity (f) as key predictors. The model clarifies how reinforcement history and stimulus relationships influence choices.
Area of Science:
- Animal behavior
- Cognitive psychology
- Comparative psychology
Background:
- Transposition behavior is a fundamental concept in learning and memory.
- Understanding the factors influencing choice behavior in animals is crucial for cognitive research.
Purpose of the Study:
- To introduce and validate a novel computational model for transposition behavior.
- To identify and quantify the predictors of transposition behavior in pigeons.
- To assess the relative contributions of reinforcement history and stimulus properties to choice behavior.
Main Methods:
- A new model incorporating generalized associative strength (g), relational disparity (r), and familiarity (f) was developed.
- Experiments were conducted with pigeons using circle diameter and speed of motion as sensory dimensions.
- The model was evaluated against behavioral data from various training and testing pair configurations.
Main Results:
- Generalized associative strength (g) consistently predicted behavior, independent of training set size.
- Relational disparity (r) significantly increased in influence with more training pairs.
- Familiarity (f) impacted behavior differently based on the stimulus domain, being significant for circle area but not speed of motion.
Conclusions:
- Pigeon transposition behavior is influenced by both reinforcement history (g) and the relationship between stimuli (r, f).
- The proposed model offers a quantitative framework for analyzing choice behavior in animal learning.
- The findings highlight the domain-specific nature of stimulus familiarity in decision-making processes.
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