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•  Logical Symbol Manipulation: This model of AI is proficient in interpreting symbols and
                      provides results based on these symbols. Symbols here, refer to the signs that are used to
                      describe data.

                     •  Robot Control: This model of AI specialises in controlling robots and such machines.


                          Terminologies Associated with Artificial Intelligence
                  Some  common  terms  associated  with  the  definition  of  AI  are  Intelligence,  Learning  and

                  Understanding. Let us learn about these:
                     •  Intelligence means the ability to apply knowledge and skills. Humans are the most intelligent
                      species who can understand, analyse and make decisions. An intelligent machine will perform
                      the given task by understanding the environment and adjust its behaviour according to its

                      senses. One such example of an intelligent machine is an industrial robot.
                     •  Learning is the process of acquiring new knowledge, behaviour, skills, values and preferences.
                      Machine learning is making the machine learn from its data bank rather than through explicit
                      programming. Here, the performance automatically improves through experience.

                     •  Understanding is deep inner knowledge of oneself. For example, an AI-driven car would be
                      capable of suggesting easy and short route from one place to another and a robot would
                      understand the human voice and tell who the speaker is.

                  There are some more terms associated with the learning of Artificial Intelligence. They are:
                     •  Chatbots: These are AI programs that are designed to have a conversation with a human
                      being. These are deployed by many organisations to resolve customer queries.

                     •  Internet of Things (IoT): Nowadays, we have a plethora of devices that can connect to the
                      Internet and access information. These interconnected devices are known as IoT. Amazon
                      Echo, wearable fitness bands being among many such examples.
                     •  Big Data: As the name suggests, these are huge clusters of data. Example of such data can be
                      global stock market data or climate data of the entire world for weather forecasting etc.

                     •  Programming Language:  There  are  many  programming  languages  used  to  program
                      AI-based systems. One must learn these to be able to create AI-based system. One of the
                      most popular languages is Python.

                     •  Data Mining: This refers to the act of extracting useful information from a pile of data.
                     •  Machine Learning: This refers to the ability of an AI to learn and draw conclusion on its own
                      without being programmed every time.

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                     What is generalised learning?








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