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› Artificial Intelligence and Computational linguistics
› Artificial Intelligence
1. What is intelligence. Two directions of development of artificial intelligence. Person. Mechanisms of artificial intelligence.
2. The main platforms for the implementation of artificial intelligence systems. Theories of the origin of life. System classification
3. Mechanisms of learning. Natural objects. Linear tactic machine. The gullible machine gun (machine gun of Kerinsky). The cautious Krylov machine. Which depth is better? The team of machines.
4. Machine with a variable structure. Self-study. The nature of learning. Homogeneous structures.
5. : The synchronization task. The problem of arrows (in technology). Calculation task Game "Life" (Conway). Properties of the airframe. Possible variations. Evolutionary programming (genetic algorithms).
6. Internal data representation and design problem. Koller's operations. An example of designing a kettle using a set of Koller. Criteria.
7. Morphological analysis and synthesis. Algorithm of morphological synthesis.
8. Reproduction and evolution. Evolutionary rules. Types of evolution. Classes.
9. Types of evolution. Three possible paths of development. FON-Neumann structure. Nanotechnology. Tunnel microscope. Immortality.
10. Neural networks. Model 1 (Hodgkin-Huxley). Model 2. Model 3 (discrete level). Model 4 (neural network model).
12. Synthetic psychology. Recognition and classification. Similarity measures.
13. Tongue. Where is the information?
14. Language structure The diameter of the message. Shevoroshkin-Sukhotin algorithm. Alice Kober grid. Harris algorithm. Text analysis.
15. Artificial life and artificial intelligence
16. The Artificial Intelligence Revolution - The Path to Super Intellect
17. System of communication with the robot