- What is an expert information system?
- What are the issues in knowledge representation?
- What are the characteristics of knowledge representation?
- How many types of expert systems are there?
- What is the form of knowledge representation in expert system?
- What is the role of expert system?
- Why is expert system needed?
- What is the significance of knowledge representation?
- How can we represent knowledge?
- Why is knowledge representation important?
- Is Siri an expert system?
- What are the features of expert system?
- What is knowledge AI?
- What are examples of expert systems?
- What are the disadvantages of expert system?
- What is knowledge based reasoning?
- What are the two basic types of inferences?
- What are the types of knowledge representation?
What is an expert information system?
An expert system is a computer based information system in which knowledge is represented in data, in which the processing of the knowledge is directed primarily by computer programs.
Expert systems represent one of the most advanced facts of information technology..
What are the issues in knowledge representation?
Issues in knowledge representationImportant attributes. There are two attributes shown in the diagram, instance and isa.Relationships among attributes. … Choosing the granularity of representation. … Representing sets of objects. … Finding the right structure as needed.
What are the characteristics of knowledge representation?
A good knowledge representation system must have properties such as:Representational Accuracy: It should represent all kinds of required knowledge.Inferential Adequacy: It should be able to manipulate the representational structures to produce new knowledge corresponding to the existing structure.More items…•
How many types of expert systems are there?
There are 5 Components of expert systems: Knowledge Base. Inference Engine. Knowledge acquisition and learning module.
What is the form of knowledge representation in expert system?
The forms of knowledge representation typically used in expert systems are: structured objects (frames, semantic networks, object-oriented principles), rules (if-then) and logic (predicate, proposi- tional). … Reasoning strength: it must be possible by reasoning to deduce new knowledge from basic knowledge.
What is the role of expert system?
An expert system is a computer-based program that uses knowledge, facts and different reasoning techniques to solve problems that normally require the abilities of human experts. The program asks series of questions about the concerned problem and gives appropriate advice based on its store of knowledge.
Why is expert system needed?
It helps to distribute the expertise of a human. One expert system may contain knowledge from more than one human experts thus making the solutions more efficient. It decreases the cost of consulting an expert for various domains such as medical diagnosis. They use a knowledge base and inference engine.
What is the significance of knowledge representation?
A knowledge representation (KR) is most fundamentally a surrogate, a substitute for the thing itself, used to enable an entity to determine consequences by thinking rather than acting, i.e., by reasoning about the world rather than taking action in it.
How can we represent knowledge?
All of these, in different ways, involve hierarchical representation of data. Trees – graphs which represent hierarchical knowledge. LISP, the main programming language of AI, was developed to process lists and trees. Schemas – used to represent commonsense or stereotyped knowledge.
Why is knowledge representation important?
It is responsible for representing information about the real world so that a computer can understand and can utilize this knowledge to solve the complex real world problems such as diagnosis a medical condition or communicating with humans in natural language.
Is Siri an expert system?
Two excellent examples of expert system applications in a commercial environment include Apple’s SIRI, a dialog system that attempts to replicate the decision-making capabilities of a human expert, and the insurance company Blue Cross’s automated insurance claim processing system, which essentially replaces on-site …
What are the features of expert system?
Characteristics of an Expert SystemHigh level Performance: The system must be capable of responding at a level of competency equal to or better than an expert system in the field. … Domain Specificity: Expert systems are typically very domain specific. … Good Reliability: The expert system must be as reliable as a human expert.More items…•
What is knowledge AI?
Knowledge is the information about a domain that can be used to solve problems in that domain. … As part of designing a program to solve problems, we must define how the knowledge will be represented. A representation scheme is the form of the knowledge that is used in an agent.
What are examples of expert systems?
Examples of Expert SystemsMYCIN: 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.More items…•
What are the disadvantages of expert system?
DisadvantagesEditNo common sense used in making decisions.Lack of creative responses that human experts are capable of.Not capable of explaining the logic and reasoning behind a decision.It is not easy to automate complex processes.There is no flexibility and ability to adapt to changing environments.More items…
What is knowledge based reasoning?
A knowledge-based system (KBS) is a form of artificial intelligence (AI) that aims to capture the knowledge of human experts to support decision-making. … Some systems encode expert knowledge as rules and are therefore referred to as rule-based systems. Another approach, case-based reasoning, substitutes cases for rules.
What are the two basic types of inferences?
The type of inference exhibited here is called abduction or, somewhat more commonly nowadays, Inference to the Best Explanation.1.1 Deduction, induction, abduction. Abduction is normally thought of as being one of three major types of inference, the other two being deduction and induction. … 1.2 The ubiquity of abduction.
What are the types of knowledge representation?
Four Fundamental Types of Knowledge RepresentationSemantic Network. A semantic network allows you to store knowledge in the form of a graphic network with nodes and arcs representing objects and their relationships. … Frame Representation. … Production Rules.