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- The goal of Artificial Intelligence is to build “smart systems”
- A “smart system” should pass Turing’s (1950) “Turing Test”:
- An interrogator is connected to one person and one machine via a
terminal, and therefore can't see her counterparts.
- Her task is to find out which of the two candidates is the
machine,
and which is human only by asking them questions.
- If the interrogator cannot make a decision within a certain time,
the machine is considered to be intelligent.
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- Deduction: Knowledge as Rules
- Computer Programs
- Databases
- Symbolic (Computer) Logic
- Rule-based Intelligent Systems
- Induction: Learning from Experience
- Humans
- Artificial Neural Networks (“Connectionism”)
- Adaptive Learning Algorithms
- Statistical Learning Machines
- Simulated Evolution (Evolutionary Learning)
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- Use Experimental Psychology to Evaluate and Design Web Sites, Computer
Games, etc.
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- Multidisciplinary Study of “Intelligent Systems”
- Examples of Intelligent Systems
- “Smart” Pencil Sharpeners
- Insects
- Dogs
- People
- “Data” (the robot) on Star Trek
- Pac-Men (i.e., “video-game” creatures)
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