A Review On The Relationship Between Human And Artificial Imagination With Their Implementations In Current Machine Learning Algorithms

Abstract

Imagination is the fundamental of creating something new. Humans can invent things if they can imagine that. So human imagination is the base of all evolution including science and technology. Humans produce their imagination from what they think, hear and see. Artificial imagination is the imagination of a machine which is produced by training a lot of data. Unsupervised learning technique gives the opportunity of learning from data by producing different patterns. It is also a concern of increasing realistic imagination in terms of implementation of artificial imagination like human imagination. This paper aims to review the relationship between artificial imagination and human imagination alongside the overview of implementing artificial imagination using modern machine learning algorithms. We tried to overview all the aspects of human imagination and reviewed their implementation. We also consider the drawbacks of combining human imagination with artificial imagination in modern artificial intelligence and machine learning algorithms.