The work of Sun (2012) presented the actual AI model architecture that is used in cognitive modeling. The CLARION mimics the working of the human mind and is supposed to work with the factor of human realism and subjective understanding of events. Psychologically dependent cognitive modeling is one of the more complex aspects in cognitive psychology. According to researchers, rational thinking is solely derived from facts and is defined with rules, making it much less complex. When the aspects of psychology such as mood, temperament, personality etc are brought into context, the modeling domain becomes more complex. The CLARION is developed such that it does mimic most of these humans like behavior and patterns. CLARION is seen to have developed this advantage by drawing on quasi-laws pertaining to the categorization, reasoning, decision-making models and induction.
As Sun (2012) stated, “We can recall here, symbolic logic paradigm. Symbolic approach begins at the highest knowledge level: symbolic manipulation and language. The fundamental hypothesis of this approach is that the human brain is not only a material support capable of producing thinking processes. Symbolic models offer a complementary profile, which means that they obtain performance in doing the reasoning process, inferences and deductions, natural symbolic manipulation and their justification. Their representations are localized and explicit, and they are very easy to understand”.
“The psychological phenomena were captured within the Non-Action-Centered Subsystem (NACS) of CLARION. This work is a step in bridging the gap between artificial agents and psychologically realistic (brain/mind-inspired) models, and between mathematically simple cognitive models and general cognitive architectures. Hence, it serves as an approach towards building psychologically realistic cognitive agents that can start addressing the challenges above” .