Creative Machine Learning

Abstract

While paradigm of knowledge-based intelligence has focus on using and acquiring knowledge, exploratory learning has focus on more learning and hence driven by new scenarios along with existing knowledge. Recently there is all focus on exploratory learning to cater with complexity of real life problems. Knowledge acquisition-based learning has its own limitations. These limitations range from inability in handling slightly different scenario to failing to create some real nonobvious solution. Exploration is definitely an interesting concept, but knowledge acquisition and exploratory learning work perfectly in some real life scenarios and bring wonderful results.