Competitive retrieval strategy causes multimodal response distributions in multiple-cue judgments

Area of Science:

• Cognitive Psychology
• Decision Making
• Judgment and Decision Making

Background:

• Quantitative judgments integrate abstracted knowledge of cue-criterion relations and memories of past instances (exemplars).
• Existing theories do not fully explain how these two memory sources combine or whether retrieval is integrative or competitive.

Purpose of the Study:

• To propose and test the CX-COM model, which combines cue abstraction with exemplar memory assuming competitive retrieval.
• To address how past exemplars and abstracted cue knowledge are combined to form a judgment.
• To investigate whether judgment formation involves integrative or competitive memory retrieval.

Main Methods:

• Proposed the CX-COM model: 1) Recall a single exemplar, 2) Adjust judgment using abstracted cue knowledge.
• Conducted two experiments to quantitatively test CX-COM's predictions against human judgment behavior.
• Examined qualitative predictions including multimodal response distributions and exemplar distance effects.

Main Results:

• CX-COM qualitatively captures judgment patterns previously attributed to multiple strategies.
• Quantitative analysis in two experiments showed CX-COM accurately accounts for judgment behavior.
• Empirical results confirmed CX-COM's assumptions regarding exemplar retrieval and cue abstraction.

Conclusions:

• CX-COM is a viable new model for understanding quantitative judgments.
• The study emphasizes the importance of considering judgment variability alongside average responses.
• Findings highlight the role of competitive memory retrieval and abstracted knowledge in judgment formation.