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

5 Pages Posted: 11 Apr 2019

See all articles by Anuj Singh

Anuj Singh

Kamla Nehru Institute of Technology

Arvind Kumar Tiwari

Kamla Nehru Institute of Technology

Date Written: March 12, 2019

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.

Keywords: Learning and Memory, Hippocampus Learning, Hidden Markov Model, Artificial Intelligence, Episodic Memory, Cognitive Learning

Suggested Citation

Singh, Anuj and Tiwari, Arvind Kumar, A Survey on Computational Models for Learning and Memory in Artificial Intelligence (March 12, 2019). Proceedings of 2nd International Conference on Advanced Computing and Software Engineering (ICACSE) 2019, Available at SSRN: https://ssrn.com/abstract=3350991 or http://dx.doi.org/10.2139/ssrn.3350991

Anuj Singh (Contact Author)

Kamla Nehru Institute of Technology ( email )

SULTANPUR
UTTAR PRADESH
SULTANPUR
India

Arvind Kumar Tiwari

Kamla Nehru Institute of Technology ( email )

SULTANPUR
UTTAR PRADESH
SULTANPUR
India

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