Component of an Expert System for Data Collection from Nonhuman Sources | Exam Question

D.

Data Interface enables the expert system to collect data from nonhuman sources, such as measurement instruments in a power plant.

For CISA Exam you should know below information about Artificial Intelligence and Expert System Artificial intelligence is the study and application of the principles by which: Knowledge is acquired and used - Goals are generated and achieved Information is communicated - Collaboration is achieved - Concepts are formed - Languages are developed - Two main programming languages that have been developed for artificial intelligence are LISP and PROLOG.

Expert system are compromised primary components, called shells, when they are not populated with particular data, and the shells are designed to host new expert system.

Keys to the system is the knowledge base (KB), which contains specific information or fact patterns associated with a particular subject matter and the rule for interpreting these facts.

The KB interface with a database in obtaining data to analyze a particular problem in deriving an expert conclusion.

The information in the KB can be expressed in several ways: Decision Tree " Using questionnaires to lead the user through a series of choices, until a conclusion is reached.

Flexibility is compromised because the user must answer the questions in an exact sequence.

Rule " Expressing declarative knowledge through the use of if-then relationships.

For example, if a patient's body temperature is over 39 degrees Celsius and their pulse is under 60, then they might be suffering from a certain disease.

Semantic nets " Consist of a graph in which the node represent physical or conceptual object and the arcs describe the relationship between the nodes.

Semantic nets resemble a data flow diagram and make use of an inheritance mechanism to prevent duplication of a data.

Additionally, the inference engine shown is a program that uses the KB and determines the most appropriate outcome based on the information supplied by the user.

In addition, an expert system includes the following components Knowledge interface " Allows the expert to enter knowledge into the system without the traditional mediation of a software engineer.

Data Interface " Enables the expert system to collect data from nonhuman sources, such as measurement instruments in a power plant.

The following were incorrect answers: Decision Tree " Using questionnaires to lead the user through a series of choices, until a conclusion is reached.

Flexibility is compromised because the user must answer the questions in an exact sequence.

Rule - Expressing declarative knowledge through the use of if-then relationships.

Semantic nets - Semantic nets consist of a graph in which the node represent physical or conceptual object and the arcs describe the relationship between the nodes.

The component of an expert system that enables the system to collect data from nonhuman sources, such as measurement instruments in a power plant, is the "Data interface."

An expert system is a type of artificial intelligence (AI) system that emulates the decision-making ability of a human expert in a specific domain or field. It comprises various components, including a knowledge base, inference engine, user interface, and explanation facility, among others.

The data interface is the component of an expert system that enables the system to collect data from various sources, including nonhuman sources such as sensors, measurement instruments, and other devices. The data interface is responsible for translating the data received from these sources into a format that the expert system can use.

For example, in a power plant, an expert system may use sensors and measurement instruments to collect data on various aspects of the plant's operations, such as temperature, pressure, and flow rate. The data interface would be responsible for collecting this data and translating it into a format that the expert system can use to make decisions.

The other components mentioned in the question, such as decision trees, rules, and semantic nets, are not directly related to data collection. Instead, these components are used to represent the knowledge and reasoning of the human expert in the system's domain. Decision trees and rules are used to represent the decision-making process, while semantic nets are used to represent the relationships between concepts in the domain.