If AI is defined as “Building intelligent machines”, one of the main limitations will be that this does not explain what AI is and what is it that makes a machine intelligent. AI is the interdisciplinary science which consists of multiple approaches, but recent advancements in deep learning and machine learning have been creating a paradigm shift in all sectors of the tech industry.

Types of approaches:

• Thinking like humans: Imitate thoughts based on the concept of how the human mind thinks.
• Thinking rationally: Imitate thoughts based on the concept of reasoning logically.
• Acting humanly: Behaving in a way that imitates the behavior of humans.
• Acting rationally: Behaving in a way that serves a purpose towards a specific objective.

Cognitive skills of AI:

• Learning processes: This skill of AI programming focuses on getting data and creating algorithms to allow the data to be transformed into actionable information. These rules allows computer devices to be able to complete tasks by giving them specific instructions.
• Reasoning processes: This part of AI programming concentrates on deciding on the optimal algorithm that should be used to achieve the desired outcome.
• Self-correction processes: This aspect is designed to constantly improve algorithms and ensure that the best accuracy of results are achieved.