Cognitive science is a complex mechanism of solving a problem based on the impact of behavior, analysis of interpretation, studying mental representations functioning of the neurons at the level of brain, perceiving a...
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ISBN:
(纸本)9798350330861
Cognitive science is a complex mechanism of solving a problem based on the impact of behavior, analysis of interpretation, studying mental representations functioning of the neurons at the level of brain, perceiving and sensing an object: a living: nature & nurture, a deeper understanding of psychological aspects, relating mind to the brain, handling emotional sense with Intelligent quotient, a meta-analysis study of automation, handling the issues dealing with biasedness due to lack of optimal Hypothesis, correlating to develop ontological representations and illustrating the language of thought on empirical evidence, observational phenomena and applying technologies of Deep learning, machine learning, statistics subset to Artificial Intelligence for optimality. This comprehensive literature study navigates through the historical evolution and interdisciplinary dimensions of cognitive science, spanning from ancient Greek philosophy to its contemporary amalgamation with neuroscience, psychology, linguistics, and artificial intelligence. Examining theoretical paradigms like formal logic, rules, concepts, analogies, images, and connectionism, the study elucidates their pivotal roles in deciphering the mind's intricate representations and computations. Focused on the challenges encountered by cognitive science, the study underscores the integration of analytics, foundational concepts, and diverse methodologies such as statistical tools, machine learning, and prescriptive analytics. A Structured outlined working procedure showcases the application of cognitive science principles to enhance student performance, conducting and evaluating surveys, statistical analysis, machine learning models, and association rule mining. The methodology progresses systematically from data collection and persona analysis to prediction hypothesis formulation, mismatch analysis, marks prediction, rule-based classification, association rule mining, data analytics, and exploratory data analysi
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