Intelligent Information Systems Synergy Test
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Responses to the test Synergy - Intelligent Information Systems (score 83 points)
Identification of knowledge is ...
prototype ES
domain parameterization
development of an informal description of domain knowledge in the form of a graph, table, chart or text
development of knowledge base in the language of knowledge representation
The user is ...
specialist engaged in the extraction of knowledge and their formalization in the KB
specialist whose knowledge is placed in the knowledge base
specialist whose intellectual abilities are expanded through the use of ES
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 ...
conceptualization of knowledge
knowledge identification
formalization of knowledge
implementation
The training sample consists of ...
no correct answer
examples of artificial situations generated by enumerating all possible options for the development of events, described by many signs of classification
examples of real situations accumulated over a certain historical period are described by many signs of classification
classification features used to describe possible scenarios
The process of learning a neural network comes down to determining ...
the number of neurons in the intermediate layer
the number of neurons in the entire network
neuron link weights
the number of input signals (features)
Match
Answer Type: Match
Intelligent Databases
Intelligent Interface Systems
Dynamic systems
Expert systems
Neural networks
Self Learning IP
The rule for building a goal tree is not ...
all the vertices of the lower level obey all the vertices of the higher level hierarchy
all vertices of the lower level obey one vertex of the higher level of the hierarchy
the top of the lower level obeys only one top of the higher level of the hierarchy
A self-learning IP that allows you to extract knowledge from databases and create specially organized knowledge bases is ...
expert system
data mining system
intelligent system
The mechanism for the conclusion of conclusions in an expert system can be implemented using ...
forward and reverse chain of reasoning
reverse chain of reasoning
direct chain of reasoning
forward or reverse chain of reasoning
Participates in the creation of ES ...
knowledge engineer
customer and expert
customer, expert and knowledge engineer
expert
expert and knowledge engineer
user
customer
The implementation phase of the expert system is ...
no correct answer
setting up and finalizing a software tool
setting up and finalizing a software tool, filling the knowledge base
filling the knowledge base
The formalization of knowledge is ...
development of knowledge base in the language of knowledge representation
obtaining by the knowledge engineer the most complete possible representation of the subject area and
decision making methods in it
prototype ES
development of an informal description of domain knowledge in the form of a graph, table, chart or text
A knowledge engineer is ...
specialist whose knowledge is placed in the knowledge base
specialist engaged in the extraction of knowledge and their formalization in the KB
specialist whose intellectual abilities are expanded through the use of ES
Systems with an intelligent interface include ...
cognitive graphics systems
use-case systems
intelligent databases
hypertext systems
application programs
The conceptualization of 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 representation of the subject area and
decision making methods in it
prototype ES
Establish the order of the stages of designing an expert system
problem area identification
Identification of knowledge is ...
prototype ES
domain parameterization
development of an informal description of domain knowledge in the form of a graph, table, chart or text
development of knowledge base in the language of knowledge representation
The user is ...
specialist engaged in the extraction of knowledge and their formalization in the KB
specialist whose knowledge is placed in the knowledge base
specialist whose intellectual abilities are expanded through the use of ES
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 ...
conceptualization of knowledge
knowledge identification
formalization of knowledge
implementation
The training sample consists of ...
no correct answer
examples of artificial situations generated by enumerating all possible options for the development of events, described by many signs of classification
examples of real situations accumulated over a certain historical period are described by many signs of classification
classification features used to describe possible scenarios
The process of learning a neural network comes down to determining ...
the number of neurons in the intermediate layer
the number of neurons in the entire network
neuron link weights
the number of input signals (features)
Match
Answer Type: Match
Intelligent Databases
Intelligent Interface Systems
Dynamic systems
Expert systems
Neural networks
Self Learning IP
The rule for building a goal tree is not ...
all the vertices of the lower level obey all the vertices of the higher level hierarchy
all vertices of the lower level obey one vertex of the higher level of the hierarchy
the top of the lower level obeys only one top of the higher level of the hierarchy
A self-learning IP that allows you to extract knowledge from databases and create specially organized knowledge bases is ...
expert system
data mining system
intelligent system
The mechanism for the conclusion of conclusions in an expert system can be implemented using ...
forward and reverse chain of reasoning
reverse chain of reasoning
direct chain of reasoning
forward or reverse chain of reasoning
Participates in the creation of ES ...
knowledge engineer
customer and expert
customer, expert and knowledge engineer
expert
expert and knowledge engineer
user
customer
The implementation phase of the expert system is ...
no correct answer
setting up and finalizing a software tool
setting up and finalizing a software tool, filling the knowledge base
filling the knowledge base
The formalization of knowledge is ...
development of knowledge base in the language of knowledge representation
obtaining by the knowledge engineer the most complete possible representation of the subject area and
decision making methods in it
prototype ES
development of an informal description of domain knowledge in the form of a graph, table, chart or text
A knowledge engineer is ...
specialist whose knowledge is placed in the knowledge base
specialist engaged in the extraction of knowledge and their formalization in the KB
specialist whose intellectual abilities are expanded through the use of ES
Systems with an intelligent interface include ...
cognitive graphics systems
use-case systems
intelligent databases
hypertext systems
application programs
The conceptualization of 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 representation of the subject area and
decision making methods in it
prototype ES
Establish the order of the stages of designing an expert system
problem area identification
As a result of inductive inference is being built ...
goal tree
decision tree
semantic network
Getting the knowledge engineer the most complete of the possible ideas about the subject area and how to make decisions in it is ...
conceptualization of knowledge
formalization of knowledge
implementation
knowledge identification
Match
multi agent systems
Systems using different sources of knowledge
Cognitive graphics systems
Intelligent Interface Systems
Neural Network Systems
Self Learning IP
Match
Answer Type: Match
Information is ...
New and Useful Problem Solving Facts
Knowledge is ...
Facts accepted by the subject and their dependencies, remembered for subsequent use
Data is ...
The facts recorded on any medium
A frame is ...
data structure designed to represent some standard situation
set of classes and objects of the subject environment
a model that allows you to represent knowledge in the form of sentences like "IF (condition), THEN (action)"
oriented graph whose vertices are concepts and arcs are the relationships between them
From the point of view of cybernetics, the linking of representations with temporal (temporal) coordinates and the ability to predict the future arising from this is ...
modeling (building an environmental model)
recognition of difficult situations
action planning
the formation of reflexes
The knowledge base is formed ...
Several variants:
experts
knowledge engineers
the users
The ability of a cybernetic system to solve intellectual problems by acquiring, remembering, and purposefully transforming knowledge in the process of learning from experience and adapting to various circumstances - this is ...
progress
interface
adaptation
intelligence
evolution
Match
Answer Type: Match
use-case systems
self learning IP
multi agent systems
systems with access to various sources of knowledge
hypertext systems
intelligent interface systems
The sum of the confidence factors of the set of values with a relative scale from 0 to 100 ...
belongs to the segment from 0 to 100
always over 100
may be different
always equal to 100
always less than 100
A training sample in which for each example the value of the class-forming feature is explicitly set is called a sample ...
"With the teacher"
“Without teacher”
no correct answer
The extraction of knowledge from data in a self-learning IMS is based on ...
knowledge base
repository
information storage
At the stage of testing the expert system, the knowledge engineer and expert play the following roles ...
knowledge engineer - active, expert - passive
knowledge engineer - passive, expert - active
both play an active role
both play a passive role
A lot of software tools and experts for joint solution of tasks operating in a single distributed computing environment - is ...
knowledge management system
DBMS
information retrieval system
goal tree
decision tree
semantic network
Getting the knowledge engineer the most complete of the possible ideas about the subject area and how to make decisions in it is ...
conceptualization of knowledge
formalization of knowledge
implementation
knowledge identification
Match
multi agent systems
Systems using different sources of knowledge
Cognitive graphics systems
Intelligent Interface Systems
Neural Network Systems
Self Learning IP
Match
Answer Type: Match
Information is ...
New and Useful Problem Solving Facts
Knowledge is ...
Facts accepted by the subject and their dependencies, remembered for subsequent use
Data is ...
The facts recorded on any medium
A frame is ...
data structure designed to represent some standard situation
set of classes and objects of the subject environment
a model that allows you to represent knowledge in the form of sentences like "IF (condition), THEN (action)"
oriented graph whose vertices are concepts and arcs are the relationships between them
From the point of view of cybernetics, the linking of representations with temporal (temporal) coordinates and the ability to predict the future arising from this is ...
modeling (building an environmental model)
recognition of difficult situations
action planning
the formation of reflexes
The knowledge base is formed ...
Several variants:
experts
knowledge engineers
the users
The ability of a cybernetic system to solve intellectual problems by acquiring, remembering, and purposefully transforming knowledge in the process of learning from experience and adapting to various circumstances - this is ...
progress
interface
adaptation
intelligence
evolution
Match
Answer Type: Match
use-case systems
self learning IP
multi agent systems
systems with access to various sources of knowledge
hypertext systems
intelligent interface systems
The sum of the confidence factors of the set of values with a relative scale from 0 to 100 ...
belongs to the segment from 0 to 100
always over 100
may be different
always equal to 100
always less than 100
A training sample in which for each example the value of the class-forming feature is explicitly set is called a sample ...
"With the teacher"
“Without teacher”
no correct answer
The extraction of knowledge from data in a self-learning IMS is based on ...
knowledge base
repository
information storage
At the stage of testing the expert system, the knowledge engineer and expert play the following roles ...
knowledge engineer - active, expert - passive
knowledge engineer - passive, expert - active
both play an active role
both play a passive role
A lot of software tools and experts for joint solution of tasks operating in a single distributed computing environment - is ...
knowledge management system
DBMS
information retrieval system
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