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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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