Price: $68.00 – $61.50
(as of Dec 24,2024 05:27:49 UTC – Details)
Publisher : Prentice Hall (January 1, 1988)
Language : English
Hardcover : 400 pages
ISBN-10 : 0130862401
ISBN-13 : 978-0130862402
Item Weight : 2.03 pounds
Building Expert Systems: A Tutorial
Are you interested in learning how to create expert systems? Expert systems are AI-powered systems that mimic the decision-making abilities of a human expert in a specific domain. In this tutorial, we will walk you through the steps of building your own expert system from scratch.
Step 1: Define the Problem Domain
The first step in building an expert system is to define the problem domain. This involves identifying the specific area in which the expert system will operate and the types of decisions it will need to make.
Step 2: Gather Knowledge
Next, you will need to gather the knowledge that the expert system will use to make decisions. This knowledge can come from subject matter experts, existing data sources, or other sources of information relevant to the problem domain.
Step 3: Represent Knowledge
Once you have gathered the necessary knowledge, you will need to represent it in a format that the expert system can understand. This typically involves creating a knowledge base that contains rules, facts, and other information that the system will use to make decisions.
Step 4: Implement Inference Engine
The inference engine is the component of the expert system that processes the knowledge base to make decisions. This involves using algorithms and logic to infer conclusions from the available data.
Step 5: Test and Refine
Finally, you will need to test your expert system to ensure that it is functioning correctly. This may involve running test cases, conducting user testing, and refining the system based on feedback.
By following these steps, you can build your own expert system and take advantage of the power of AI to make complex decisions in a specific domain. Good luck!
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