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Transcript
ITGS - Keyword Bingo - Chapter 16: AI & Robotics
1. Artificial intelligence: Techniques used to create machines which produce results
comparable to humans.
2. Expert system: software which tries to provide the same answers as a human in a specific
knowledge domain.
3. Knowledge base: A component of an expert system which holds facts and rules.
4. Knowledge domain: An area of specialisation for an expert system
5. Knowledge engineer: This person takes knowledge from a human expert and uses it to
create an expert system.
6. Inference engine: The part of an expert system which matches the users input with stored
rules and facts.
7. Simple logic: A form of logic in which there are only two values, such as true and false.
8. Fuzzy logic: A form of logic which can have many different values.
9. Heuristics: Rules used in artificial intelligence which are generally, but not always, true.
10. Infrared sensor: A common type of sensor used to detect the presence of objects.
11. Training: The process of giving an AI system examples to improve its results.
12. Pattern recognition: A system which recognises based on similarity to previously seen
examples.
13. Robotic arm: Common output device often used by robots in manufacturing.
14. Neural network: An AI techniques which tries to simulate the processes of the human
brain.
15. Chaining: The ability to infer results from pieces of data.
16. Turing Test: A famous way of assessing whether a machine is 'intelligent'.
17. Wheels: A common output device used by robots to move around.
18. Searching: An AI technique which looks at all possible outcomes to find the best one.
19. Touch sensor: An input device used by robots to detect collisions.
20. Natural language processing: Software techniques used to 'understand' languages such as
English or Spanish.
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