In search of the elusive initial model
Hugues Lortie Forgues1, Henry Markovits
1Department of Psychology, University of Québec in Montréal, Canada. lfhugues@gmail.com
Experimental Psychology
|July 4, 2012
Summary
Reasoners use initial models to simplify complex conditional inferences, especially when processing abstract information. Increased processing time supports the use of these simplified mental representations.
Area of Science:
- Cognitive Psychology
- Psychology
Background:
- Mental Model theory posits reasoners use minimal initial models to reduce cognitive load.
- Direct empirical evidence for this initial model postulate is lacking.
Purpose of the Study:
- To provide direct evidence for the use of initial models in conditional reasoning.
- To investigate the influence of conditional arbitrariness and processing time on initial model use.
Main Methods:
- Three studies manipulated the arbitrariness of conditional premises (familiar vs. arbitrary relations) and processing time (limited vs. unlimited).
- Participants completed conditional (if-then) inferences under varying time constraints and premise types.
- Study 1 controlled for matching strategies using arbitrary relations with negations; Study 2 used arbitrary relations without negations; Study 3 used familiar relations.
Main Results:
- Initial model patterns increased significantly with longer processing times in Studies 1 and 2.
- No evidence for a matching strategy was found in Study 1.
- Study 3 showed very low initial model use across all time conditions, regardless of premise familiarity.
- Overall, increased processing time led to more initial model use, particularly with abstract content.
Conclusions:
- The studies provide clear evidence that reasoners employ initial models during conditional inference.
- The use of initial models appears to be a strategy to manage cognitive load when dealing with abstract or complex information.
- Processing time is a critical factor influencing the adoption of initial model reasoning.
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