* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download teacher clues - ITGS Textbook
Survey
Document related concepts
Catastrophic interference wikipedia , lookup
Kevin Warwick wikipedia , lookup
Neural modeling fields wikipedia , lookup
Logic programming wikipedia , lookup
Fuzzy logic wikipedia , lookup
Personal knowledge base wikipedia , lookup
Embodied cognitive science wikipedia , lookup
Pattern recognition wikipedia , lookup
Computer Go wikipedia , lookup
Intelligence explosion wikipedia , lookup
Robotic automation software wikipedia , lookup
Existential risk from artificial general intelligence wikipedia , lookup
Philosophy of artificial intelligence wikipedia , lookup
History of artificial intelligence wikipedia , lookup
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. Information Technology in a Global Society www.itgstextbook.com Creative Commons Attribution-NonCommercial-ShareAlike 3.0