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Cognitive dissonance
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===Modeling in neural networks=== [[Artificial neural network]] models of cognition provide methods for integrating the results of empirical research about cognitive dissonance and attitudes into a single model that explains the formation of psychological attitudes and the mechanisms to change such attitudes.<ref name="read1997">{{cite journal | vauthors = Read SJ, Vanman EJ, Miller LC | title = Connectionism, parallel constraint satisfaction processes, and gestalt principles: (re) introducing cognitive dynamics to social psychology | journal = Personality and Social Psychology Review | volume = 1 | issue = 1 | pages = 26β53 | year = 1997 | pmid = 15647127 | doi = 10.1207/s15327957pspr0101_3 | s2cid = 23161930 }}</ref> Among the artificial neural-network models that predict how cognitive dissonance might influence a person's attitudes and behavior, are: * [[Parallel constraint satisfaction processes]]<ref name="read1997"/> * The [[Metacognition|meta-cognitive model]] (MCM) of attitudes<ref>{{cite journal | vauthors = Petty RE, BriΓ±ol P, DeMarree KG | s2cid = 1395301 | year = 2007 | title = The Meta-Cognitive Model (MCM) of attitudes: Implications for attitude measurement, change, and strength | doi = 10.1521/soco.2007.25.5.657 | journal = Social Cognition | volume = 25 | issue = 5| pages = 657β686 }}</ref> * Adaptive connectionist model of cognitive dissonance<ref>{{cite journal | vauthors = Van Overwalle F, Jordens K | year = 2002 | title = An adaptive connectionist model of cognitive dissonance | doi = 10.1207/S15327957PSPR0603_6 | journal = Personality and Social Psychology Review | volume = 6 | issue = 3| pages = 204β231 | citeseerx = 10.1.1.15.2085 | s2cid = 16436137 }}</ref> * Attitudes as constraint satisfaction model<ref>{{cite journal | vauthors = Monroe BM, Read SJ | title = A general connectionist model of attitude structure and change: the ACS (Attitudes as Constraint Satisfaction) model | journal = Psychological Review | volume = 115 | issue = 3 | pages = 733β759 | date = July 2008 | pmid = 18729597 | doi = 10.1037/0033-295X.115.3.733 }}</ref>
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