#13 Kecerdasan Buatan - Pertemuan 13 | Sistem Pakar - Expert System | Artificial Intelligence (AI)

Summary

The video discusses expert systems, a subfield of artificial intelligence designed to mimic human decision-making in specialized areas. It defines expert systems as software that utilizes knowledge from experts to solve complex problems, emphasizing the importance of knowledge acquisition from professionals. The presentation covers three main modules: knowledge acquisition, consultation, and explanation, detailing how users interact with the system to diagnose issues. It also highlights the role of inference engines in decision-making and the necessity of databases for storing knowledge. Overall, the content illustrates how expert systems can provide valuable solutions in everyday life.

Takeaways

• 😀 Expert systems are computer programs designed to make decisions like a human expert.
• 😀 According to Marimin (1992), expert systems utilize knowledge and reasoning techniques for problem-solving.
• 😀 Knowledge acquisition is the process of gathering expertise from specialists to develop the system.
• 😀 The consultation module allows users to interact with the system by answering questions related to their problems.
• 😀 The explanation module clarifies how the system reaches its decisions based on input data.
• 😀 Knowledge representation consists of facts and rules; facts provide information, while rules generate new insights.
• 😀 Programming languages such as Prolog, Java, and Visual Basic can be used to build expert systems.
• 😀 The inference engine acts as the brain of the expert system, processing knowledge to draw conclusions.
• 😀 Strategies for reasoning include forward chaining and backward chaining, which help in decision-making.
• 😀 Databases store all necessary knowledge and facts used by the expert system to operate effectively.

Q & A

What is an expert system?

An expert system is a computer program designed to make decisions similar to those made by human experts, utilizing factual knowledge and reasoning techniques.

What are the main components of an expert system?

The main components include the knowledge acquisition module, consultation module, and explanation module.

How does the knowledge acquisition module function?

This module gathers knowledge from human experts through interviews and discussions, creating a database of expertise.

What role does the consultation module play in an expert system?

The consultation module allows users to interact with the system by providing symptoms and receiving diagnoses or recommendations.

What is the purpose of the explanation module?

The explanation module clarifies how the system arrives at decisions, detailing the reasoning behind diagnoses or recommendations.

How is knowledge represented in an expert system?

Knowledge is represented by facts, which are information about objects or situations, and rules, which are methods to derive new facts from existing ones.

What programming languages can be used to develop expert systems?

Programming languages such as Prolog, LISP, Java, and Visual Basic can be utilized to develop expert systems.

What is the function of the inference engine?

The inference engine acts as the brain of the expert system, guiding the decision-making process based on the knowledge base.

What types of databases are commonly used in expert systems?

Common database options include SQL Server, MySQL, and Oracle, which store all necessary facts and knowledge.

How does the user interface facilitate interaction with the expert system?

The graphical user interface (GUI) enables users to interact with the system easily, allowing for input of symptoms and viewing of results.