CATEGORY THREE BASIC AI
Now we go into the basic concepts of AI, artificial intelligence generally divided into three basic categories, namely:
1. Knowledge-based system or expert system (Expert System / Knowledge Based System),
ie computer programs that contain knowledge such as human
used to solve problems in a particular domain.
2. Natural language systems (Natural Language System),
of programming that understands grammar like humans do.
3. System with the ability to understand (Perception System),
namely sepertipenginderaan system (vision), speech or touch (touch).
AREAS Artificial Intelligence
- Logic,used to study the logic of an argument by applying rules of standard logic.
- Searching, applied to AI refers to the search method for solving a problem
- Vision, Pattern Recognition and Matching It is important for several applications, including robotics and image processing (image processing).
- Natural Language Processing
- The hardest part of AI target
- NLP allows computers to understand human language that
- Used to learn to control robotic movements
- Learning Programs that can learn from mistakes with observations (or demand for computers) and have the ability to take a 'benefit' of experience
- Uncertainty and Fuzzy Logic (uncertainty) Computers can think to use incomplete knowledge to implement the use of Fuzzy Logic.
Is Artificial Intelligence (AI):A process that uses the auxiliary equipment (tools) are mechanically can carry out a series of events by using the ideas or intelligence as human beings have Definition of AI can be viewed from two approaches:
1. Scientific Approach (A Scientific Approach)
Scientifically based approach arising prior to the invasion of computer. This approach saw the limitations of the computer, and the limitations it can be solved by technology sequel
2. Approach to Engineering (An Engineering Approach)
This technical approach is to try to avoid mean of AI, but trying to solve real-world problems withsuperiority / sophistication of a technology.
AI represents the core of science kompueter (represents the core of computer science)
- AI realizing a form of the uncertainty of the method of calculation (computation)
- AI is a technical (engineering) as / integral part of Cognitive Science, Cognitive Science is a combination of philosophy, Linguistics and Psychology
- AI-related knowledge representation (knowledge) and manipulations.Knowledge is the center of all the sciences, therefore AI is also the center of all the engineering science
In technology; AI represents penitik mind on human activity- A technology is not so much to produce, but to be made
- we are not able to generate a lot of technology, not because of limitations of technology, but the limitations of science- Plato and Decrates, and others; Mind assumed to be a separate entity from the body.
The history of AI Initially is centered on the game - game playing, theorem proving and some formal work (formal tasks)* Checker program - including the famous 1963 by Samual
* Chess program
* Geometry Theorem-provers proving mathematical torema
* Gelernter (1963)
*Logic Theorist (1963)
Artificial intelligence (Artificial Intelligence) is a subset of computer science which is a software programming techniques in a way state data, processing data and solving problems symbolically, fromon numerically. The problems in symbolic form is problem that we often encounter in everyday life. These problems more associated with symbols and concepts of the symbols with numbers.
Here with artificial intelligence attempted to make the computer as if he can think Cerda. Artificial intelligence programs differ from conventional programs not only be understood in terms of symbols or information, but also a symbolic program, characters digits, words, and other data relating to each other. Information and forms related used to represent various relationships between information. The relationship between symbols and information implies what interpreted by humans as meaning or knowledge.
