ROBOTS

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This is a mind map of Michio Kaku's Physics of the Impossible Chapter 7 on Robots
Charles Pearsall
Mapa Mental por Charles Pearsall, actualizado hace más de 1 año
Charles Pearsall
Creado por Charles Pearsall hace casi 8 años
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Resumen del Recurso

ROBOTS
  1. Can machines think?
    1. History
      1. Leonardo da Vinci drew diagrams of first realistic design of a humanoid machine
        1. The word "robot" comes from the 1920 Czech play R.U.R. by play­ wright Rarel Capek
          1. ("robot" means "drudgery" in the Czech language and "labor" in Slovak
            1. "The basic laws of intelligence are still shrouded in mystery. The Newton of AI probably has not yet been born."
              1. Artificial Intelligence
                1. The Most influential person in the field of AI was the great British mathematician Alan Turing.
                  1. Turing invented "The Turing Machine," which has now evolved into modern day computers.
                    1. Committed suicide by eating a cyanide laced apple.
                      1. It is rumored that the Apple logo is a homage to Turing.
                      2. Created a machine that translated Nazi communications which may have led to their defeat.
                      3. Critic John Searle suggested that robots can master the syntax of language, but not semantics (what a word means.).
                        1. 1969: SHAkEY was the first mechanical automaton that could navigate in the "real world,"
                          1. Computers can take huge amounts of time trying to do what our unconscious minds do naturally.
                            1. 1997:IBM computer Deep Blue beat world chess champion Garry Kasparov in a six-game match
                              1. "Moore's law refers to an observation made by Intel co-founder Gordon Moore in 1965. He noticed that the number of transistors per square inch on integrated circuits had doubled every year since their invention. Moore's law predicts that this trend will continue into the foreseeable future." -Investopedia
                              2. Bill Gates likens the field of robotics now to the personal computer field he helped to start thirty years ago.
                              3. "Top Down" approach or "Bottom Up" approach
                                1. "Top Down" = Programming everything into the computer
                                  1. "Bottom Up" = to mimic evolution and the way a baby learns.
                                    1. When the two approaches meet, we may find more functionality.
                                    2. Emotions?
                                      1. Computer expert Hans Moravec believes that robots will be pro­ grammed with emotions such as "fear" to protect themselves from things like running out of power..
                                        1. Dr. Rosalind Picard of the MIT Media Lab says, "They can't feel what's most important. That's one of their biggest failings. Com­ puters just don't get it."
                                        2. Consciousness
                                          1. Animals may be conscious, but they do not pos­sess the level of consciousness of a human being.
                                            1. Defining what consciousness is could change our perceptions of a robots ability to exhibit it.
                                          2. Dangerous?
                                            1. They could become dangerous once they have the intelligence of a monkey, which is self-aware and can create its own agenda.
                                              1. Arthur C. Clarke wrote, "It is possible that we may become pets of the computers, leading pampered existences like lapdogs, but I hope that we will always retain the ability to pull the plug if we feel like it."
                                              2. singularity
                                                1. "When robots will be able to process information exponentially fast, creating new robots in the process, until their collective ability to ab­sorb information advances almost without limit. "
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