Expert System: A work performed by a human expert and the same task is performed by a computer application is known as expert systems. The expert system is a knowledge-based system that models the professionals in that particular field. It is a successful form of artificial intelligence software. Working of expert system: Expert system works based on the set of rules implemented in the software. These rules are acquired from the knowledge of the skilled that can be used by organization. It takes the data which has been given to them then it applies the system rules in order to suggest solutions for the given problem. Role played by expert system in business: Expert system is one of the most common forms of AI in the business arena because they are capable of filling the gap which is not possible for the human experts. The reason is human expert’s finds more difficult in discovering and retaining the solutions which is also too expensive. Neural network: Neural network is also called as artificial neural network where the AI attempts to imitate the way human brain works. Electronic model that performs tasks like the neural structure of a human brain is artificial neural network. Artificial neural network is comparable in certain aspects to a biological neural network. Working of neural network: It works based on the structure and functions of human brain. They tend to determine the patterns and relationships in massive amounts of data which is very complicate to understand by the human. Role played by neural network in business: Neural network are used in financial industry to discern patterns in enormous amount of data which might help to predict the performance of bond ratings in corporate, bankruptcies in corporate. Case-based reasoning (CBR): Case based reasoning captures and stores the organization knowledge. The past experience of the human are represented in the form of cases and stored literally in a database which can be retrieved later when the user come across the similar cases. When the user encounters the same case, it searches for the matched data stored in the database and applies the solution of the old case to the new case. The solutions obtained from the new case are stored again in the database which can be used later. Case-based reasoning differs from expert system: Case based reasoning differs from expert system in that it collects the organization’s knowledge whereas the expert system gathers the knowledge rom single expert. The knowledge is captured in the form of cases in CBR whereas expert system uses the if-then rules. CBR represent the knowledge in the series of cases where as the expert system represent the knowledge in the form of the IF-THEN-ELSE rules...

Essentials of MIS (12th Edition)

12th Edition

ISBN: 9780134238241

Author: Kenneth C. Laudon, Jane P. Laudon

Publisher: PEARSON

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Chapter 11, Problem 3RQ

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Expert System:

A work performed by a human expert and the same task is performed by a computer application is known as expert systems.

The expert system is a knowledge-based system that models the professionals in that particular field.

It is a successful form of artificial intelligence software.

Working of expert system:

Expert system works based on the set of rules implemented in the software. These rules are acquired from the knowledge of the skilled that can be used by organization. It takes the data which has been given to them then it applies the system rules in order to suggest solutions for the given problem.

Role played by expert system in business:

Expert system is one of the most common forms of AI in the business arena because they are capable of filling the gap which is not possible for the human experts. The reason is human expert’s finds more difficult in discovering and retaining the solutions which is also too expensive.

Neural network:

Neural network is also called as artificial neural network where the AI attempts to imitate the way human brain works.

Electronic model that performs tasks like the neural structure of a human brain is artificial neural network.

Artificial neural network is comparable in certain aspects to a biological neural network.

Working of neural network:

It works based on the structure and functions of human brain. They tend to determine the patterns and relationships in massive amounts of data which is very complicate to understand by the human.

Role played by neural network in business:

Neural network are used in financial industry to discern patterns in enormous amount of data which might help to predict the performance of bond ratings in corporate, bankruptcies in corporate.

Case-based reasoning (CBR):

Case based reasoning captures and stores the organization knowledge. The past experience of the human are represented in the form of cases and stored literally in a database which can be retrieved later when the user come across the similar cases. When the user encounters the same case, it searches for the matched data stored in the database and applies the solution of the old case to the new case. The solutions obtained from the new case are stored again in the database which can be used later.

Case-based reasoning differs from expert system:

Case based reasoning differs from expert system in that it collects the organization’s knowledge whereas the expert system gathers the knowledge rom single expert.

The knowledge is captured in the form of cases in CBR whereas expert system uses the if-then rules.

CBR represent the knowledge in the series of cases where as the expert system represent the knowledge in the form of the IF-THEN-ELSE rules...

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Chapter 11, Problem 2RQ

Chapter 11, Problem 4RQ

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