Intelligent Information Systems Synergy Test

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