Difference between AI and Expert System

Artificial Intelligence:
AI manages more comprehensive issues of automating a system. This computerization should be possible by utilizing any field such as image processing, cognitive science, neural systems, machine learning etc. AI manages the making of machines, frameworks and different gadgets savvy by enabling them to think and do errands as all people generally do.

Expert System:
An expert system is an AI software that uses knowledge stored in a knowledge base to solve problems that would usually require a human expert thus preserving a human expert’s knowledge in its knowledge base. They can advise users as well as provide explanations to them about how they reached a particular conclusion or advice.

Let’s see the difference between AI and Expert System:



Artificial Intelligence EXPERT SYSTEM
AI is the ability of a machine or a computer program to think, work, learn and react like humans. Expert systems represent the most successful demonstration of the capabilities of AI.
AI involves the use of methods based on the intelligent behavior of humans to solve complex problems. Experts systems are computer programs designed to solve complex decision problems.
Components of AI:

  1. Natural Language Processing (NLP)
  2. Knowledge representation
  3. Reasoning
  4. Problem solving
  5. Machine learning
Components of expert system:

  1. Inference engine
  2. Knowledge base
  3. User interface
  4. Knowledge acquisition module
AI is the study is systems that act in a way to any observer would appear to be intelligent. Expert system represent the most successful demonstration of the capabilities of AI
AI systems are used in a wide range of industries, from healthcare to finance, automotive, data security, etc. Expert systems provide expert advice and guidance in a wide variety of activities.

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