Parallel constraint satisfaction processes

Attitudes and beliefs are therefore changeable, due to trying to satisfactorily fit with the various constraints of circumstances as well as adapt to the constantly evolving truths in life.

The different theories are probably all accurate given the right time, the right place, and the right individual, therefore an integrated more holistic model may better explain the reasons for attitude/behavior inconsistency and the change of attitude following cognitive dissonance.

Recently psychologists have progressed from categorizing psychological phenomena as static, to recognizing the dynamic aspects that vary with different contexts.

The concept of neural network models uses the Gestalt principle of totality to explain social, emotional and cognitive tendencies.

[2] Parallel constraint satisfaction processes can be applied to three broad areas in social psychology:[1] This approach revealed that some phenomena that seem unexpected or counterintuitive are in actuality due to the normal functioning of the cognitive system.