Artificial Intelligent...
What AI is and where its day to day uses are...
Terms
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- Microprocessor
- The heart of an electronic monitoring and control system. (Sources:http://interests.caes.uga.edu/eai/glossary.html)
- Heuristics
- A heuristic is a way of trying to discover something or an idea imbedded in a program. (Sources:http://www-formal.stanford.edu/jmc/whatisai/node1.html)
- Assembly Lines
- The use of AI in this helps improve the assembly of certain products like Cars, Cellphones, Boats, Etc. :P
- Expert Systems
- Solves real-world problems with the help of human knowledge and following reasoning skills based from a knowledge data base gathered from the encoded knowledge and thinking process of experts. :P
- Computer Games
- The most widely known use of AI in todays youth. :P
- Artificial Intelligence
- It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but it does not have to confine itself to methods that are biologically observable. (Sources:http://www-formal.stanford.edu/jmc/whatisai/node1.html)
- John McCarthy
- The first man to use the term Artificial Intelligence to mean "the science and engineering of making intelligent machines". (Sources:http://en.wikipedia.org/wiki/Artificial_intelligence)
- Representation
- Facts about the world have to be represented in some way. Usually languages of mathematical logic are used. (Sources:http://www-formal.stanford.edu/jmc/whatisai/node1.html)
- Epistemology
- This is a study of the kinds of knowledge that are required for solving problems in the world. (Sources:http://www-formal.stanford.edu/jmc/whatisai/node1.html)
- Microcontroller
- Its sole purpose is to monitor and control a process. (Sources:http://interests.caes.uga.edu/eai/glossary.html)
- DARPA Grand Challenge
- A race in over a hundred miles of desert terrain without contact with humans, relying only on GPS, computers and sensors. :P
- Search
- AI programs often examine large numbers of possibilities, e.g. moves in a chess game or inferences by a theorem proving program. Discoveries are continually made about how to do this more efficiently in various domains. (Sources:http://www-formal.stanford.edu/jmc/whatisai/node1.html)