This presentation is about Expert Systems. It starts with the definition of expert systems, its features and goes onto an overview of expert systems and components of the same. It then moves onto an explanation of the people involved in expert system with a pictorial representation. It further explains the capabilities of expert systems, when to use it, evolution of expert system software and its application with artificial intelligence with an example (IBM). The next topic is the types of expert systems, methods of knowledge representation and a comparison between human experts and expert systems. The presentation concludes with information on the limitations of the system
Contents
<ol class="ollevel1"> <li>Definition</li> <li>Features</li> <li>Overview of expert systems</li> <li>Expert systems development </li> <li>Components</li> <li>Explanation Facility</li> <li>Capabilities of expert systems</li> <li>When to use an expert system </li> <li>Knowledge acquisition facility </li> <li>Applications of expert systems and artificial intelligence</li> <li>Types of expert systems</li> <li>Methods of knowledge representation</li> <li>Comparison of human experts and expert systems</li> <li>Applications — classics </li> <li>Shell concept</li> <li>Limitations of expert systems</li> <li>Bibliography</li> </ol>
<ol class="ollevel1"> <li>Definition</li> <li>Features</li> <li>Overview of expert systems</li> <li>Expert systems development </li> <li>Components</li> <li>Explanation Facility</li> <li>Capabilities of expert systems</li> <li>When to use an expert system </li> <li>Knowledge acquisition facility </li> <li>Applications of expert systems and artificial intelligence</li> <li>Types of expert systems</li> <li>Methods of knowledge representation</li> <li>Comparison of human experts and expert systems</li> <li>Applications — classics </li> <li>Shell concept</li> <li>Limitations of expert systems</li> <li>Bibliography</li> </ol>