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Intelligent systems and technologies - synergy test

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Synergy Answers to Discipline - Intelligent Systems and Technologies
This collection contains 49 answers
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1. From the point of view of cybernetics, the connection of representations with temporal (time) coordinates and the resulting ability to foresee the future is ...
2. Associations arise ...
3. The knowledge base is formed by ...
4. The concept of knowledge uncertainty includes ...
5. As a result of the inductive inference ...
6. Participates in the creation of the ES ...
7. Choose the most accurate definition of the knowledge base:
8. Knowledge identification is ...
9. Extraction of knowledge from data in a self-learning IIS is carried out on the basis of ...
10. The knowledge engineer is ...
11. Artificial intelligence is ...
12. Conceptualizing knowledge is ...
13. The mechanism for drawing conclusions in the expert system can be implemented using ...
14. A multitude of software tools and experts for the joint solution of problems operating in a single distributed computing environment is ...
15. During the identification phase of the problem area, the knowledge engineer and expert play the following roles ...
16. During the testing phase of the expert system, the knowledge engineer and expert play the following roles ...
17. During the testing phase of the expert system, the knowledge engineer and expert play the following roles ...
18. Filling the ES knowledge base is ...
19. A training sample, in which the value of a class-forming attribute is explicitly set for each example, is called a sample ...
20. A training sample, in which the system itself selects classes of situations by the degree of closeness of the classification feature values, is called a sample ...
21. The training sample is made up ...
22. The difference between synthetic and dynamic expert systems is ...
23. Getting an engineer by knowledge of the most complete possible understanding of the subject area and the methods of making a decision in it is ...
24. The user is ...
25. The rule for building a goal tree is not ...
26. The production model is ...
27. The process of training a neural network is reduced to determining ...
28. The process of finding a solution to a problem, which consists in deriving statements by substituting other well-known private statements in general statements is called ...
29. Development of knowledge base in the language of knowledge representation is ...
30. Development of a description of the structure of knowledge about the subject area in the form of a graph, table, diagram or text is ...
31. Arrange in the correct sequence the stages of the development of the expert system
32. From the point of view of cybernetics, the connection of representations with temporal (time) coordinates and the resulting ability to foresee the future is ...
33. A self-learning IS, which builds a network of transfer functions based on learning from real-life examples, is called ...
34. Self-learning IS that allows you to extract knowledge from databases and create specially organized knowledge bases is ...
35. The Semantic Web is ...
36. 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 ...
37. The sum of confidence factors of a set of values ​​at a relative scale from 0 to 100 ...
38. Controlling reflexes means ...
39. Establish the order of the stages of the design of the expert system
40. Establish correspondence
41. Establish correspondence
42. Establish correspondence
43. Establish correspondence
44. Establish correspondence
45. Formalization of knowledge is ...
46. ​​A frame is ...
47. The goal, together with an indication of the way to achieve it, ie. decomposition into subordinate goals is called ...
48. The expert system consists of ...
49. The stage of implementation of the expert system is ...
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