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    to simulate human thinking and problem-solving abilities. By developing these models, we enable
                      AI systems to perform tasks that require reasoning, understanding and adaptability.
                      AI modelling techniques can be broadly classified into two approaches, namely, rule-based and
                      learning-based.

                      Rule-Based AI

                      Rule-based approach is based on a set of rules and a set of facts already fed to the machine to
                      generate the desired output. These models can operate with simple basic information and data.
                      The relationship or patterns in the data is defined by the developer.
                      IF X happens THEN do Y

                      Examples of rule-based AI
                      Example 1: If IT RAINS Then TAKE AN UMBRELLA
                      Example 2: If TRAFFIC LIGHT TURNS RED Then STOP THE CAR

                      Let us understand the concept of a Rule-Based AI system using a given scenario.
                      You have a dataset containing 100 images of chairs and 100 images of tables. To train your
                      machine, you provide this data and label each image as either a chair or a table. When you test
                      the machine with a new image of a chair, it compares this image to the labelled training data and
                      identifies it as a chair based on those labels. This method is known as a rule-based approach,
                      where the rules are the labels assigned to the training data.

                                                                                            Rule-based Approach

                                                                      Labelled Datasets

                                                                                                   Model
                                                                    Used to Train Machine        Used to Test Machine

                                                                            Output                         Training Data

                                  Machine Identifies the Image as Table                            Testing Data

                      Based on various guidelines, we can make different choices.

                                     AI RoboGenius - VIII
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