Intelligent Information Systems-Answers Synergy
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Intelligent information systems Answers Synergy 97/100 points
Filling the ES knowledge base is ...
formalization of knowledge
knowledge identification
realization
Knowledge formalization is ...
development of knowledge base in the language of knowledge representation
obtaining by the knowledge engineer the most complete possible understanding of the subject area and
ways of making decisions in it
ES prototype creation
development of an informal description of knowledge about the subject area in the form of a graph, table, diagram or text
The user is ...
a specialist engaged in the extraction of knowledge and their formalization in the knowledge base
a specialist whose knowledge is placed in the knowledge base
a specialist whose intellectual abilities are expanded through the use of ES
Artificial intelligence is ...
the science of human thinking
one of the directions of computer science
section of higher mathematics
area of research of computing systems
Systems with an intelligent interface include ...
cognitive graphics systems
case-based systems
intelligent databases
hypertext systems
application programs
Knowledge identification is ...
ES prototype creation
domain parameterization
development of an informal description of knowledge about the subject area in the form of a graph, table, diagram or text
development of knowledge base in the language of knowledge representation
The mechanism for drawing conclusions in the expert system can be implemented using ...
forward and backward line of reasoning
reverse line of reasoning
straight line of reasoning
forward or backward chain of reasoning
Participates in the creation of the ES ...
knowledge engineer
customer and expert
customer, expert and knowledge engineer
expert
knowledge expert and engineer
user
customer
The stage of implementation of the expert system is ...
there is no right answer
setting up and updating the software tool
setting up and updating the software tool, filling the knowledge base
filling the knowledge base
The development of a description of the structure of knowledge about the subject area in the form of a graph, table, diagram or text is ...
conceptualizing knowledge
knowledge identification
formalization of knowledge
realization
The knowledge engineer is ...
a specialist whose knowledge is placed in the knowledge base
a specialist engaged in the extraction of knowledge and their formalization in the knowledge base
a specialist whose intellectual abilities are expanded through the use of ES
Conceptualizing knowledge is ...
development of a description of the structure of knowledge about the subject area in the form of a graph, table, diagram or text
development of knowledge base in the language of knowledge representation
obtaining by the knowledge engineer the most complete possible understanding of the subject area and
ways of making decisions in it
ES prototype creation
Establish the order of the stages of expert system design
problem area identification
problem domain conceptualization
knowledge base formalization
expert system implementation
expert system testing
As a result of inductive inference ...
goal tree
decision tree
semantic web
Getting an engineer by knowledge of the most complete possible understanding of the subject area and methods of making a decision in it is ...
conceptualizing knowledge
formalization of knowledge
realization
knowledge identification
The sum of confidence factors of a set of values at a relative scale from 0 to 100 ...
belongs to the segment from 0 to 100
always more than 100
may be different
always equal to 100
always less than 100
A training sample, in which the value of a class-forming characteristic is explicitly set for each example, is called a sample ...
"With a teacher"
"Without a teacher"
there is no right answer
The extraction of knowledge from data in a self-learning IIS is
Filling the ES knowledge base is ...
formalization of knowledge
knowledge identification
realization
Knowledge formalization is ...
development of knowledge base in the language of knowledge representation
obtaining by the knowledge engineer the most complete possible understanding of the subject area and
ways of making decisions in it
ES prototype creation
development of an informal description of knowledge about the subject area in the form of a graph, table, diagram or text
The user is ...
a specialist engaged in the extraction of knowledge and their formalization in the knowledge base
a specialist whose knowledge is placed in the knowledge base
a specialist whose intellectual abilities are expanded through the use of ES
Artificial intelligence is ...
the science of human thinking
one of the directions of computer science
section of higher mathematics
area of research of computing systems
Systems with an intelligent interface include ...
cognitive graphics systems
case-based systems
intelligent databases
hypertext systems
application programs
Knowledge identification is ...
ES prototype creation
domain parameterization
development of an informal description of knowledge about the subject area in the form of a graph, table, diagram or text
development of knowledge base in the language of knowledge representation
The mechanism for drawing conclusions in the expert system can be implemented using ...
forward and backward line of reasoning
reverse line of reasoning
straight line of reasoning
forward or backward chain of reasoning
Participates in the creation of the ES ...
knowledge engineer
customer and expert
customer, expert and knowledge engineer
expert
knowledge expert and engineer
user
customer
The stage of implementation of the expert system is ...
there is no right answer
setting up and updating the software tool
setting up and updating the software tool, filling the knowledge base
filling the knowledge base
The development of a description of the structure of knowledge about the subject area in the form of a graph, table, diagram or text is ...
conceptualizing knowledge
knowledge identification
formalization of knowledge
realization
The knowledge engineer is ...
a specialist whose knowledge is placed in the knowledge base
a specialist engaged in the extraction of knowledge and their formalization in the knowledge base
a specialist whose intellectual abilities are expanded through the use of ES
Conceptualizing knowledge is ...
development of a description of the structure of knowledge about the subject area in the form of a graph, table, diagram or text
development of knowledge base in the language of knowledge representation
obtaining by the knowledge engineer the most complete possible understanding of the subject area and
ways of making decisions in it
ES prototype creation
Establish the order of the stages of expert system design
problem area identification
problem domain conceptualization
knowledge base formalization
expert system implementation
expert system testing
As a result of inductive inference ...
goal tree
decision tree
semantic web
Getting an engineer by knowledge of the most complete possible understanding of the subject area and methods of making a decision in it is ...
conceptualizing knowledge
formalization of knowledge
realization
knowledge identification
The sum of confidence factors of a set of values at a relative scale from 0 to 100 ...
belongs to the segment from 0 to 100
always more than 100
may be different
always equal to 100
always less than 100
A training sample, in which the value of a class-forming characteristic is explicitly set for each example, is called a sample ...
"With a teacher"
"Without a teacher"
there is no right answer
The extraction of knowledge from data in a self-learning IIS is
The Semantic Web is ...
The concept of knowledge uncertainty includes ...
The expert system consists of ...
A self-learning IS that builds a network of transfer functions based on learning from real-life examples is called ...
The development of knowledge base in the language of knowledge representation is ...
The goal, along with an indication of the way to achieve it, i.e. decomposition into subordinate goals is called ...
Arrange in the correct sequence the stages of the expert system development
At the stage of identifying the problem area, the knowledge engineer and expert play the following roles ...
The difference between synthetic and dynamic expert systems is
Choose the most accurate knowledge base definition ...
The training sample consists of ...
A multitude of software tools and experts for the joint solution of problems operating in a single distributed computing environment is ...
The rule for building a goal tree is not ...
A self-learning IS that allows you to extract knowledge from databases and create specially organized knowledge bases is ...
During the testing phase of the expert system, the knowledge engineer and expert play the following roles ...
A frame is ...
From the point of view of cybernetics, the connection of representations with temporal (time) coordinates and the resulting ability to foresee the future is ...
The knowledge base is formed by ...
The ability of a cybernetic system to solve intellectual problems by acquiring, memorizing and purposefully transforming knowledge in the process of learning from experience and adapting to various circumstances is ...
Reflex control means ...
The process of training a neural network is reduced to determining ...
Set correspondence
Answer type: Matching
Intelligent databases
Intelligent interface systems
Dynamical systems
Expert systems
Neural networks
Self-learning IS
Set correspondence
multi-agent systems
Systems using different sources of knowledge
Cognitive graphics systems
Intelligent interface systems
Neural network systems
Self-learning IS
Set correspondence
Answer type: Matching
Information is ...
New and useful problem solving facts
Knowledge is ...
Facts accepted by the subject and their dependencies, remembered for subsequent application
Data is ...
Facts recorded on any medium
Set correspondence
Answer type: Matching
case-based systems
self-learning ICs
multi-agent systems
systems with access to various sources of knowledge
hypertext systems
systems with intelligent interface
Set correspondence
Answer type: Matching
Contextual help systems
Intelligent interface systems
Inductive systems
Self-learning IS
Classification systems
Knowledge-based systems
* upon purchase you get answers to all questions that are indicated in the product description
The concept of knowledge uncertainty includes ...
The expert system consists of ...
A self-learning IS that builds a network of transfer functions based on learning from real-life examples is called ...
The development of knowledge base in the language of knowledge representation is ...
The goal, along with an indication of the way to achieve it, i.e. decomposition into subordinate goals is called ...
Arrange in the correct sequence the stages of the expert system development
At the stage of identifying the problem area, the knowledge engineer and expert play the following roles ...
The difference between synthetic and dynamic expert systems is
Choose the most accurate knowledge base definition ...
The training sample consists of ...
A multitude of software tools and experts for the joint solution of problems operating in a single distributed computing environment is ...
The rule for building a goal tree is not ...
A self-learning IS that allows you to extract knowledge from databases and create specially organized knowledge bases is ...
During the testing phase of the expert system, the knowledge engineer and expert play the following roles ...
A frame is ...
From the point of view of cybernetics, the connection of representations with temporal (time) coordinates and the resulting ability to foresee the future is ...
The knowledge base is formed by ...
The ability of a cybernetic system to solve intellectual problems by acquiring, memorizing and purposefully transforming knowledge in the process of learning from experience and adapting to various circumstances is ...
Reflex control means ...
The process of training a neural network is reduced to determining ...
Set correspondence
Answer type: Matching
Intelligent databases
Intelligent interface systems
Dynamical systems
Expert systems
Neural networks
Self-learning IS
Set correspondence
multi-agent systems
Systems using different sources of knowledge
Cognitive graphics systems
Intelligent interface systems
Neural network systems
Self-learning IS
Set correspondence
Answer type: Matching
Information is ...
New and useful problem solving facts
Knowledge is ...
Facts accepted by the subject and their dependencies, remembered for subsequent application
Data is ...
Facts recorded on any medium
Set correspondence
Answer type: Matching
case-based systems
self-learning ICs
multi-agent systems
systems with access to various sources of knowledge
hypertext systems
systems with intelligent interface
Set correspondence
Answer type: Matching
Contextual help systems
Intelligent interface systems
Inductive systems
Self-learning IS
Classification systems
Knowledge-based systems
* upon purchase you get answers to all questions that are indicated in the product description
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