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Love reading and writing Love drawing and painting
Visualise things easily Recognise patterns easily
Good at putting puzzles together Reading Maps
Interdisciplinary Learning
#Logical Reasoning
Recognise the pattern in the following and draw the next one in the series:
Which type of intelligence is being used here? ___________________
#Activity
AI APPROACH
The aim of AI is to simulate the human attributes of logical intelligence, reasoning and knowledge
acquisition in machines.
We have been experiencing how this works in the form of virtual assistants like Siri, Alexa, and Chatbots.
Generally, AI models have two kinds of approaches:
AI APPROACH
Rule Based Approach Learning Based Approach
Rule Based Approach
A rule-based system uses rules as knowledge representation. These rules are coded in the system in the
form of if-then-else statements which help the computer to take 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. For example, a system is developed to identify emails by finding keywords. If this system
finds an email containing the word "bill" or "invoice", it forwards the email to the accounts department.
Learning Based Approach
A computer system that achieves AI through a machine learning technique is called a learning-
based approach. In this approach, the machine learns by itself. This approach is often referred to as
black boxes as it is not entirely clear how these systems take decisions. This is a major problem for
applications when it comes to making a decision for investment, medical or military reasons as this
approach remains unreliable. Generally, this approach is followed when the data is unlabelled and too
random for a human to make sense out of it.
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