Modeling in Neural Networks
Neural network models of cognition have provided the necessary framework to integrate the empirical research done on cognitive dissonance and attitudes into one model of explanation of attitude formation and change.
Various neural network models have been developed to predict how cognitive dissonance will influence an individual's attitude and behavior. These include:
- Parallel Constraint Satisfaction Processes
- The Meta-Cognitive ModelMeta-Cognitive Model (MCM) of attitudes
- Adaptive connectionist model of cognitive dissonance
- Attitudes as constraint satisfaction model
Read more about this topic: Cognitive Dissonance
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