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Unit 1: Introduction and Overview




          The Beginnings of AI                                                                  Notes

          Although the computer provided the technology necessary for AI, it was not
          until the early 1950’s that the link between human intelligence and machines
          was really observed. Norbert Wiener was one of the first Americans to make
          observations on the principle of feedback theory.
                                                                           Norbert Wiener

                 Example: The most familiar example of feedback theory is the thermostat. It controls the
          temperature of an environment by gathering the actual temperature of the house, comparing it
          to the desired temperature, and responding by turning the heat up or down.
          What was so important about his research into feedback loops was that Wiener theorized that all
          intelligent behavior were the result of feedback mechanisms that could possibly be simulated
          by machines. This discovery influenced much of early development of AI. In late 1955, Newell
          and Simon developed The Logic Theorist, considered by many to be the first AI program. The
          program, representing each problem as a tree model, would attempt to solve it by selecting the
          branch that would most likely result in the correct conclusion. The impact that the logic theorist
          made on both the public and the field of AI has made it a crucial stepping stone in developing the
          AI field.
          In 1956 John McCarthy regarded as the father of AI, organized a conference to
          draw the talent and expertise of others interested in machine intelligence for a
          month of  brainstorming.  He  invited them  to  Vermont  for “The  Dartmouth
          summer research project on artificial intelligence.” From that point on, because
          of McCarthy, the field would be known as Artificial intelligence. Although not a
          huge success, the Dartmouth conference did bring together the founders in AI,
          and served to lay the groundwork for the future of AI research.   John McCarthy

          Knowledge Expansion

          In the seven years after the conference, AI began to pick up momentum. Although the field was
          still undefined, ideas formed at the conference were re-examined, and built upon. Centers for AI
          research began forming at Carnegie Mellon and MIT, and a new challenge was faced: further
          research was placed upon creating systems that could efficiently solve problems, by limiting the
          search, such as the Logic Theorist. And second, making systems that could learn by themselves.
          In 1957, the first version of a new program The General Problem Solver (GPS) was tested. The
          program developed by the same pair which developed the Logic Theorist. The GPS was  an
          extension of Wiener’s feedback principle, and was capable of solving a greater extent of common
          sense problems. A couple of years after the GPS, IBM contracted a team to research artificial
          intelligence. Herbert Gelerneter spent three years working on a program for solving geometry
          theorems. While more programs were being produced, McCarthy was busy developing a major
          breakthrough in AI history. In 1958 McCarthy announced his new development; the LISP language,
          which is still used today. LISP stands for LISt Processing, and was soon adopted as the language
          of choice among most AI developers.

                        Figure  1.3: Department  of  Defense  Advance Research  Project













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