Which of the following is not a Capabilities of Expert Systems? Explanation: Expanding is not Capabilities of Expert Systems.Explanation: The components of ES include : Knowledge Base, Inference Engine, User Interface.
Which of the following is capabilities of expert systems?
which of the following is Capabilities of Expert Systems? Explanation: Suggesting alternative options to a problem is Capabilities of Expert Systems.
Which of the following is not true about expert systems?
Export systems are expensive to design. Maintenance support may be difficult to obtain for an expert system. Maintenance support may be difficult to obtain for an expert system.
What are the 4 components of expert system?
An expert system generally consists of four components: a knowledge base, the search or inference system, a knowledge acquisition system, and the user interface or communication system.
Which are the correct capabilities of an expert system Mcq?
Explanation: Expert system is a part of AI and a computer program that is used to solve complex problems, and to give the decision-making ability like human. It does this with the help of a Knowledge base, Inference engine, and User interface, and all these are the components of an Expert System.
Which of the following is not an application of expert system?
Discussion Forum
| Que. | Which of the following is incorrect application of Expert System? |
|---|---|
| b. | Monitoring Systems |
| c. | Knowledge Domain |
| d. | Systems domain |
| Answer:Systems domain |
What is knowledge expert system?
An expert system (ES) is a knowledge-based system that employs knowledge about its application domain and uses an inferencing (reason) procedure to solve problems that would otherwise require human competence or expertise.
Which of the following are limitations of expert system?
Discussion Forum
| Que. | Which of the following is incorrect Expert Systems Limitations? |
|---|---|
| b. | Difficult knowledge acquisition |
| c. | Easy to maintain |
| d. | High development costs |
| Answer:Easy to maintain |
Which one of the following is a limitation of an expert system?
Limitations of Expert Systems
Limitations of Es include: Difficult knowledge acquisition. Maintenance costs. Development costs.
Which of the following is an advantage of expert system?
It allows machines to handle vague information with a deftness that mimics human intuition. What is the name of this Artificial Intelligence?
What are the types of expert system?
There are five basic types of expert systems. These include a rule-based expert system, frame-based expert system, fuzzy expert system, neural expert system, and neuro-fuzzy expert system. A rule-based expert system is a straightforward one where knowledge is represented as a set of rules.
What are the three components of an expert system?
An expert system is typically composed of at least three primary components. These are the inference engine, the knowledge base, and the User interface. We will introduce these components below.
What are examples of expert systems?
Examples of Expert Systems
- MYCIN: It was based on backward chaining and could identify various bacteria that could cause acute infections.
- DENDRAL: Expert system used for chemical analysis to predict molecular structure.
- PXDES: An Example of Expert System used to predict the degree and type of lung cancer.
What Can expert systems do?
In artificial intelligence, an expert system is a computer system emulating the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as ifthen rules rather than through conventional procedural code.
What is an expert system what are the characteristics of an expert system?
An expert system operates as an interactive system that responds to questions, asks for clarification, makes recommendations and generally aids the decision making process. Expert system provides expert advice and guidance in a wide variety of activities from computer diagnosis to delicate medical surgery.
What is the need of expert system?
In artificial intelligence, an expert system is a computer system that emulates the decision-making ability of a human expert. Expert systems are designed to solve complex problems by reasoning through bodies of knowledge, represented mainly as if-then rules rather than through conventional procedural code.
Which of the following is not true about expert systems Mcq?
Discussion Forum
Which of the following is not true about expert systems? Export systems are expensive to design. Maintenance support may be difficult to obtain for an expert system. Answer:Maintenance support may be difficult to obtain for an expert system.
What are the problems faced in expert systems?
Not surprisingly, expert systems have run into a significant problem: they are brittle. When faced with a problem which bends the rules, they are unable to cope. They fail because they are not grounded in cases. They are unable to fall back on the details of their experience, find a similar case, and apply it.
Which one is nothing but an expert system without knowledge base?
1. Shells: A shell is nothing but an expert system without knowledge base. A shell provides the developers with knowledge acquisition, inference engine, user interface, and explanation facility.
Which of the following does not include different learning methods?
Explanation: Factors which affect the performance of learner system does not include good data structures. 2. Which of the following does not include different learning methods?Explanation: Decision trees, Neural networks, Propositional rules and FOL rules all are the models of learning.
Which of the following is not the style of inference?
Which of the following is not the style of inference? Explanation: Modus ponen is a rule for an inference.
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