ARTIFICIAL INTELLIGENCE TECHNIQUES, METHODS AND FRAMEWORK: AN EPIGRAMMATIC ANALYSIS
Abstract
The development of artificial intelligence and intelligent systems began with the invention of computers and their exponential growth in performance of diverse tasks. Artificial intelligence is a subfield of computer science that aims to create machines or computers with cognitive abilities comparable to those of humans. Major subfields of this field include robotics and expert systems. Another goal is to use computers to enhance human thought processes in the same way that motors enhance human or horse power. Real-world applications are numerous and varied.
The purpose of this work is to provide an overview of artificial intelligence approaches, methods, and supporting algorithms. To help users adopt different strategies based on their needs and applications, comparisons between various algorithms and their methodologies have also been made.References
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