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Neuroscience  :  It  studies  the  workings  of  the  brain,  including  both  unconscious  and  conscious
            processes. It lets us learn how the brain stores information and  processes learning?

            Linguistics : It studies language and communication, including  its symbols, syntax, and semantics. It
            lets us model human communication and understand the relation between language and thought.
            Biology  :  It  studies  living  things.  It  explains  how  living  things  reproduce  and  evolve  and  their
            mechanisms.
            Thus, Artificial Intelligence can be defined as a field of science in which different disciplines converge
            with the purpose of creating agents that have the ability to learn, to create models from their learning,
            to make predictions based on those models and new data, and make autonomous decisions based
            on those predictions and any environmental data.


              Try This                                                                                Logical Thinking
              Identify and write the name of the discipline of learning from its description given below:

              (a) Understanding the relation between languages and thoughts.                          _________
              (b) Understanding how and why people behave in different ways.                          _________
              (c) Understanding how the human brain processes learning.                               _________

              (d) Understanding how to program human intelligence in terms of code and software.      _________


            HOW AI WORKS?

            The biggest question in the development of AI was how to simulate human intelligence in machines.
            AI attempts to make machines intelligent by letting them observe, analyse, testing, and updating their
            knowledge after getting the feedback about their actions. Any approach to AI involves developing
            proper algorithms for performing the above mentioned tasks.

            SYMBOLIC AI

            Symbolic AI refers to approaches to developing intelligent machines by encoding the knowledge
            and experience of experts into sets of rules that can be executed by the machine. Thus, Symbolic AI
            is also referred to as Rule-based AI. This was the main approach to AI applications from the 1950s.

            The image given below describes a Rule-based system for a chatbot.























            Symbolic AI can be implemented by two different approaches:


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