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A Survey on Computational Models for Learning and Memory in Artificial Intelligence

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Document pages: 5 pages

Abstract: Learning and Memory is the important area of artificial Intelligence to study about the main functionality of human brain to develop a new computational models and algorithms based on cognitive learning and memory. Therefore, here human intelligence encourages a review for function of learning and memory. This paper clarify that without learning the aim of accomplish human-level artificial intelligence is at a great distance from completion. This review paper covers the human learning and memory, hippocampus learning and hidden markov model. This review paper covers mostly work done in the area of learning and memory. In this review we focuses on definitions of learning and memory and development and theories of learning over the past few years . This paper also presents advantages and disadvantages of various computational models and algorithms related to learning and memory.

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