Adduction of untested derived stimulus relations depends on environmental complexity.

Area of Science:

• Behavioral Psychology
• Cognitive Science
• Learning Theory

Background:

• Derived stimulus relations are crucial for complex learning.
• Adduction, the integration of learned relations with existing knowledge, is a key aspect of cognitive flexibility.
• Understanding factors influencing adduction, such as environmental complexity, is vital for optimizing learning processes.

Purpose of the Study:

• To investigate the effect of environmental complexity on adduction involving derived stimulus relations.
• To determine if training with simpler or more complex stimulus classes influences the ability to perform adduction.
• To extend the assessment of adduction to untested equivalence relations.

Main Methods:

• Two groups of college students (n=4 each) were trained on arbitrary-matching-to-sample discriminations.
• Group CA was trained on discriminations establishing 3-member stimulus classes; Group EA was trained on discriminations establishing 5-member stimulus classes.
• Adduction was assessed by requiring participants to derive untested equivalence relations and integrate them with learned math skills.

Main Results:

• All participants in Group CA (3-member classes) demonstrated high accuracy (>90%) in the adduction assessment.
• Only one participant in Group EA (5-member classes) achieved high accuracy during the adduction assessment.
• Results indicate a significant difference in adduction performance based on the complexity of the trained stimulus relations.

Conclusions:

• Adduction can occur with untested equivalence relations.
• Simpler environmental complexity (3-member classes) facilitates adduction.
• Larger relational networks (5-member classes) make adduction less likely, highlighting the role of environmental conditions in cognitive flexibility.