A Constraint-Satisfaction Model of Machiavellianism Effects in Cognitive Dissonance
نویسندگان
چکیده
The consonance constraint-satisfaction model is applied to Machiavellianism self-concept effects in cognitive dissonance. Networks parameterized for low Machiavellian traits showed the usual dissonance effect, i. e., more attitude change after giving a counter-attitudinal speech than after not giving such a speech, whereas networks parameterized for high Machiavellian traits showed the reverse, thus capturing human data. Classical dissonance theory had not accounted for the fact that people with high Machiavellian traits showed less attitude change after giving a counter-attitudinal speech than after not giving such a speech. The model predicts initial dissonance and the course of dissonance reduction in the various experimental conditions. The results underscore the point that cognitive dissonance operates according to the same constraint-satisfaction principles that govern a variety of other psychological phenomena.
منابع مشابه
A Constraint Satisfaction Model of Cognitive Dissonance Phenomena
A constraint satisfaction network model simulated cognitive dissonance data from the insufficient justification and free choice paradigms. The networks captured the psychological regularities in both paradigms. In the case of free choice, the model fit the human data better than did cognitive dissonance theory. Cognitive Dissonance Cognitive dissonance theory (Festinger, 1957) has been a pillar...
متن کاملSimulation of Self-affirmation Phenomena in Cognitive Dissonance
The consonance constraint-satisfaction model, which has simulated the major paradigms of classical cognitive dissonance theory, is here extended to deal with more contemp orary findings concerning self-affirmation phenomena in dissonance reduction. The key addition to the model, which has also figured in recent simulations of arousal phenomena, is to lessen activity level within the neural netw...
متن کاملModeling Cognitive Dissonance Using a Recurrent Neural Network Model with Learning
This paper presents a recurrent neural network model of long term attitude change resulting from the reduction of cognitive dissonance. The model uses Contrastive Hebbian Learning (CHL) to capture changes in weight strength among cognitions resulting from dissonance reduction. Several authors have presented recurrent network models of dissonance reduction that capture the constraint satisfactio...
متن کاملConstraint Satisfaction Processes in Social Reasoning
We show that constraint satisfaction processes (coherence based reasoning) play an important role in social reasoning, and that social reasoning violates key assumptions of classic models of judgment and decision-making. Constraint satisfaction models predict a bi-directional flow of influence between evaluations of evidence for a judgment and the judgment itself, such that an evolving judgment...
متن کاملRole of Parasocial Interaction with Celebrities and Worshiping them in Prediction of Cognitive Dissonance
The present study aimed to investigate the role of parasocial interaction with celebrities and to worship them in the prediction of cognitive dissonance. The research design was descriptive and correlational. The statistical population of the study consisted of students of the faculty of psychology and educational sciences of the University of Tehran in 1397-98. In this study, 200 girl and boy ...
متن کامل