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@article{179391,
        author = {BANI BHUSAN PRAHARAJ and MONALISHA DASH},
        title = {AI-Based System to Analyze Behavioral Cognition of the Human Brain: A Conceptual Study},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {6176-6177},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179391},
        abstract = {Cognitivism emphasizes the internal
processes of the mind in how individuals understand,
learn, and respond to stimuli. In children, cognitive
behavior is influenced by multiple interrelated factors
such as emotions, thoughts, and biological states.
Behavioral disturbances in children often stem from
distorted cognitive patterns. With the evolution of
Artificial Intelligence (AI), it is now possible to analyze
and model these complex mental states. This paper
presents a conceptual model and system architecture
for an AI-based framework to analyze and improve
the cognitive behavior of children. Through sentiment
analysis, pattern recognition, and emotional mapping,
the system aims to detect unhelpful cognitive patterns
and recommend corrective actions. The paper also
highlights relevant case studies and discusses the
implications for educational and clinical interventions.},
        keywords = {Artificial Intelligence, Cognitivism, Behavioral Cognition, Cognitive Distortions, Emotional Intelligence, Machine Learning, Mental Health Monitoring},
        month = {May},
        }