Expert Systems

Expert Systems

Expert Systems are reliable computer-based tools that use data and rules to solve complex decision-making problems. They are like having a virtual expert in a specific field, helping tackle the toughest challenges by drawing from a wealth of knowledge and wisdom.

Characteristics of Expert System

Here are the characteristics of an expert system in a simpler form:
Longevity: Expert systems can last indefinitely, unlike human experts who may change or retire.
Knowledge Sharing: They help spread human expertise to a wider audience.
Collective Wisdom: Expert systems can combine knowledge from multiple experts for more effective answers.
Cost-Efficiency: They reduce the expense of consulting specialists, such as in medical diagnosis.
Inference-Based: Expert systems solve complex problems by deducing new insights from existing knowledge, using if-then rules instead of traditional procedural code.

Expert System Applications

It has a wide range of applications in designing and manufacturing tangible objects, including designing and producing automobiles and camera lenses.

These systems are typically used in the knowledge domain to disseminate pertinent information to users. Tax advisors and advisors are the two standard ES used for this subject.

It is used in the financial sector to identify any potential fraud and suspicious conduct.

Expert system in ai is used in the evaluation and repair of equipment. The ES system is utilised in medical diagnosis and was the first application of these systems.