| Abstract |
Computational cognitive modeling that aims to bridge the human behavior and its neural underpinning is becoming an essential tool in many disciplines where they need a rigorous matching against human data. Our research is focusing on developing a computational cognitive models inspired by cognitive, physiological, and affective neuroscience evidences; mainly embedding the concept of ‘Awareness’ with the cognitive processes that shows the interplay between conscious and unconscious action formation. Our research specially focuses attention on cognitive states prior to, and after the action was performed: prior and retrospective; that enables us to facilitate a rational mapping between cognitive and behavioral evidences that depend on the context and conditions. The current version of the model has provided some simulation evidences for: action vetoing, poor predictions of schizophrenic patients, action selection, and intentional inhibition. This type of a model will be useful in applications/domains like: clinical psychology, decision making, behavioral management, emotional control, agent based modeling in economics, and in much more. In this presentation I would like to share with you some information about a one model that we compiled and simulated. |