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AI APPROACH
Rule-based approach Learning-based approach
Rule-Based Approach
A rule-based system uses rules as knowledge representation. These rules are coded a form of
the system into the form of if-then-else statements, which help the computer in taking decisions.
The idea behind a rule-based system is to use the knowledge of a human expert in a specialised
domain and embody it within the computer system.
Learning-Based Approach
A computer system that achieves AI through a machine learning technique is called a
learning-based approach. This approach is often referred to as a black box because it is not
entirely clear how these systems take decisions. This lack of transparency is a major issue for
applications involving investments, medical decisions, or military matters, as the approach can
be unreliable.
Machine learning is a way of achieving AI. It is a branch of AI and is based on the idea that
machines can be built to process data and learn on their own. Machine learning is a subset of AI.
Restart
Artificial intelligence imparts cognitive ability to machines, meaning it can make machines
perform tasks in ways that are considered intelligent.
According to Howard Gardner’s theories, humans do not just have an intellectual capacity,
but also many kinds of intelligence.
AI models have two kinds of approaches: Rule-based and Learning-based.
Checkpoint
A. Tick ( ) the correct option.
1. Which quality do people with visual-spatial intelligence possess?
a. Explaining things well b. Recognising patterns easily
c. Both a & b d. Good debaters
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