Content
1 Basics3
1.1 Introduction3
1.2 acquaintance bureau3
1.3 association derivation4
1.4 Searching cognition5
1.5 Machine learning5
2 Field of application6
2.1 Search engines: Google - Larry Page (co-founder)6
2.2 Machine comment7
2.3 Optical character recognition7
2.4 Handwriting recognition8
3 Bibliography9
1 Basics
1.1 Introduction
Artificial Intelligence is a sub sports stadium of informatics and deals with the construction of information processing devices. The aim of A.I. is to go for information reception and -processing like the human race problem result attitude.
With aid of the Turing test it can be checked whether a system is intelligent or not. During this test a someone ask questions to two hidden partners. One of these partners is a human, the former(a) one is a machine. A system counts as intelligent, if the psyche is not able to distinguish the partners from each other.
To implicate experience in a system, you have to represent the introduce in an adequate way and the possibility to derivate new input come out of already known input.
1.2 Knowledge representation
The association of the knowledge representation includes the data and how to connect it.
Further there is the meta knowledge, which shows how the data and the possibilities of connecting argon used to solve a problem. For an efficient using of this knowledge it has to be structured and ordered. Therefore you have to assemble knowledge representation formalisms, which be used to be like the human thinking.
The most common formalism to represent the knowledge is the prime(prenominal) order logic. For this purpose symbolic objects are set in relation to each other. Every imaginable phenomenon is described as an object. These objects are in logical references to each other. By proofing, which statements are true and which are not a problem gets solved.
1.3 Knowledge derivation
Production rules provide the possibility to derive new input out of already known input. The...If you want to get a full essay, order it on our website: Orderessay
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