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ELIZA chatbot                           Joseph Weizenbaum
               •  1969: Shakey, the first general-purpose mobile robot capable
                  of reasoning its actions is developed. This project integrated

                  research in robotics with computer vision and natural language
                  processing.  Shakey did  not  need to be instructed on  each
                  individual step of a complex process. It was the first physical
                  robot controlled by artificial intelligence.

                  SHRDLU, a natural language computer program that allowed                               Shakey
                  the user to carry on a conversation with the computer, name collections, and

                  query the state of a simplified ‘blocks world’ is developed.
                  The  concept of  backpropagation,  a  core  element  of  AI,  is  conceived.  It

                  essentially allows a neural network to learn from mistakes, allowing AI to be
                  trained to perform better over time. The idea became popular
                  in 1986.

               •  1973:  Ichiro  Kato  at  Tokyo’s  Waseda  University  developed
                  WABOT-1, the first full-scale anthropomorphic robot. It consisted
                  of a limb-control system, a vision system, and a conversation

                  system. The WABOT-1 was able to communicate with a person                             Ichiro Kato
                  in Japanese and measure distances and directions to the objects.


                   Knowledge Discovery                                                             Subject Enrichment


               The first AI winter occurred between 1974 and 1980. AI winter refers to the time period
               where computer scientists dealt with a severe shortage of funding from the government
               for  AI  research.  It  occurred  due  to  unfulfilled  promises,  vast  expectations,  financial
               difficulties, impossible-to-overcome technological barriers, and limitations of computing
               power, memory, and processing speed.

          THE GROWTH YEARS (1980-1987)

          In the 1980s, the AI paradigm shifted to symbolic AI and the so-called expert systems
          or knowledge-based systems. The underlying concept was to convert human expert


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