An expert system is a computer application that guides the performance of ill structured tasks, which usually require experience and expertise. Using an expert system, a non expert can achieve performance, which is comparable to an experts performance in that particular domain.
An expert system is very similar to a decision support system, ie; both are intended to provide a high level of problem solving support to their users. But they differ in two major ways:
First, a DSS consists of routines that reflect as to how the manager believes a problem should be solved, as well as the manager’s style and capabilities. An expert system on the other hand, offers the opportunity to make decisions that exceed the manager’s capabilities.
The second but most important difference between DSS and Es is the ability of the expert system (ES) to explain its line of reasoning in reaching a particular solution. Very often, the explanation of how a solution was reached is more valuable than the solution itself.
Monday, January 19, 2009
Friday, January 16, 2009
Knowledge based Systems-1
We are going to discuss on each component today.
1. Expert Systems: It is a computer program that attempts to represent the knowledge of human experts in the form of heuristics.
2. Robotics: They consist of computer controlled devices that help in AI applications.
3. Natural Language: This enables users to communicate with the computer in different languages and also enables the computer to check grammar and spellings.
4. Learning: This encompasses all the activity that enables the computer or other device to acquire knowledge in addition to what has been entered into the memory by its manufacturers and programmers.
5. Computer vision: This is to endow computers with the ability to recognize and identify objects and the context to which they belong. This also entails an ability to recognize shapes, features etc. automatically and in turn automate movement through robots.
6. Perceptive Systems: These use visual images and auditory signals to instruct computers or other devices such as robots.
7. Artificial intelligence hardware: This includes physical devices that help in artificial intelligence applications. Examples are hardware that is dedicated to knowledge based systems, neural computers used to speed up calculations etc.
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1. Expert Systems: It is a computer program that attempts to represent the knowledge of human experts in the form of heuristics.
2. Robotics: They consist of computer controlled devices that help in AI applications.
3. Natural Language: This enables users to communicate with the computer in different languages and also enables the computer to check grammar and spellings.
4. Learning: This encompasses all the activity that enables the computer or other device to acquire knowledge in addition to what has been entered into the memory by its manufacturers and programmers.
5. Computer vision: This is to endow computers with the ability to recognize and identify objects and the context to which they belong. This also entails an ability to recognize shapes, features etc. automatically and in turn automate movement through robots.
6. Perceptive Systems: These use visual images and auditory signals to instruct computers or other devices such as robots.
7. Artificial intelligence hardware: This includes physical devices that help in artificial intelligence applications. Examples are hardware that is dedicated to knowledge based systems, neural computers used to speed up calculations etc.
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Monday, January 12, 2009
Knowledge based Systems
We going to discuss on knowledge based system like artificial intelligence, expert systems, neural network, robotics etc. At the end of this topic, reader will be in a position for successful expert system development.
Artificial Intelligence (AI)
Artificial intelligence can be defined as a field of study that designs and develops machines capable of performing tasks that would require intelligence if performed by a human being.
A more formal definition of artificial intelligence is that, it is a branch of computer science concerned with designing intelligent computer systems, ie; systems that exhibit the characteristics associated with intelligence in human behavior – understanding, language, learning, reasoning etc.
Components of AI
Broadly speaking, AI consists of
1. Expert systems
2. Robotics
3. Natural Language
4. Learning
5. Computer Vision
6. Perceptive Systems
7. Artificial Intelligence hardware
8. Neural Networks
We will discuss on each component in our next post.
Artificial Intelligence (AI)
Artificial intelligence can be defined as a field of study that designs and develops machines capable of performing tasks that would require intelligence if performed by a human being.
A more formal definition of artificial intelligence is that, it is a branch of computer science concerned with designing intelligent computer systems, ie; systems that exhibit the characteristics associated with intelligence in human behavior – understanding, language, learning, reasoning etc.
Components of AI
Broadly speaking, AI consists of
1. Expert systems
2. Robotics
3. Natural Language
4. Learning
5. Computer Vision
6. Perceptive Systems
7. Artificial Intelligence hardware
8. Neural Networks
We will discuss on each component in our next post.
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