There are many criteria that an expert system must meet in order to be considered successful in a domain. An important criterion is that it be able to solve problems in its domain with a satisfactory level of expertise. In addition to this an expert system should also be able to communicate well with its users. This means not only asking for relevant information when needed but also providing explanations of its reasoning process that are acceptable to a user. Furthermore, an expert system should be easily .expandable to incorporate new knowledge or correct outdated or erroneous knowledge
An expert system (ES) acts as an expert or a consultant in some subject area and helps in decision-m...
Our work in Explainable Expert Systems (EES) had two goals: to extend and enhance the range of expla...
In this paper we will see how an expert system could be created. Expert system is a set of programs ...
Human experts posses the ability to solve problemns without an explicity formulated algorithm. Exper...
Conventional expert systems design places undue emphasis on obtaining the answer in a particular pro...
Expert systems are generally described by a mixture of terms that confuse implementation language wi...
employs knowledge and inference procedures to solve problems that are considered difficult enough to...
Expert systems mimic the problem-solving activity of human experts in specialized domains by capturi...
This paper presents a learning-based approach to the automation of knowledge acquisition for expert ...
In this project we are concerned with extending the range and effectiveness of explanation facilitie...
Expert systems (ES) are commercially one of the most succesfull use of artificial intelligence (AI) ...
The creation of expert systems is one way in which knowledge is codified. In creating an expert syst...
The expert system is a computer program which attempts to reproduce the problem-solving behavior of ...
Expertise constitutes the foundation of an organization\u27s ability to benefit from competitive and...
textabstractAn expert system can be defined as a computer program which uses artificial intelligence...
An expert system (ES) acts as an expert or a consultant in some subject area and helps in decision-m...
Our work in Explainable Expert Systems (EES) had two goals: to extend and enhance the range of expla...
In this paper we will see how an expert system could be created. Expert system is a set of programs ...
Human experts posses the ability to solve problemns without an explicity formulated algorithm. Exper...
Conventional expert systems design places undue emphasis on obtaining the answer in a particular pro...
Expert systems are generally described by a mixture of terms that confuse implementation language wi...
employs knowledge and inference procedures to solve problems that are considered difficult enough to...
Expert systems mimic the problem-solving activity of human experts in specialized domains by capturi...
This paper presents a learning-based approach to the automation of knowledge acquisition for expert ...
In this project we are concerned with extending the range and effectiveness of explanation facilitie...
Expert systems (ES) are commercially one of the most succesfull use of artificial intelligence (AI) ...
The creation of expert systems is one way in which knowledge is codified. In creating an expert syst...
The expert system is a computer program which attempts to reproduce the problem-solving behavior of ...
Expertise constitutes the foundation of an organization\u27s ability to benefit from competitive and...
textabstractAn expert system can be defined as a computer program which uses artificial intelligence...
An expert system (ES) acts as an expert or a consultant in some subject area and helps in decision-m...
Our work in Explainable Expert Systems (EES) had two goals: to extend and enhance the range of expla...
In this paper we will see how an expert system could be created. Expert system is a set of programs ...