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1. Introduction
in AI
History of AI
Role of AI in informatics and
Civilization
Two approaches to development of AI
– Neuroinformatics and Logical AI
2. Features
of Kinds of Applied AI Systems
Experts systems
Intelligent Robots
Natural language Processing
4. Main
definitions of Knowledge Engineering
5. Methods
of Knowledge Representation and Solving of tasks
Space of states and search in it
Predicate Logic
Fuzzy Sets and Fuzzy Logic
Pseudo-Physics logics
Rules
Semantic Nets
Frames
Soft Computing
6. Comparison
and Selection of different Methods of Knowledge Representation
7. Languages
and tools for Knowledge Engineering
Introduction to programming in
PROLOG
Features of LISP
KR-languages
8. Expert
Systems
Conditions for efficient use of
Expert Systems
Steps of development of Expert
System
Features of architectures of Expert
Systems
9. Machine
learning
Induction
Neural networks
Reinforcement learning
Genetic algorithms
10. Hybrid
Intelligent Systems
Combination of knowledge
representation methods,
Review of Hybrid Expert Systems
(HES),
Classification of HES,
Architecture of ESWin (toolkit for
building of HES)
11. Paradigm
of Distributed (multi-agent) Intelligent Systems
12. Paradigm
of Ontology and Semantic WEB
13.
Intelligent Robots
Classification of robots and its
control systems
Functions of control systems of
Robots
Task solving by mobile robots
Features of Development of Humanoid
Robots
14. Natural
language processing
Problems
Kinds of NLP-systems
Review
of methods of NLP,
Review
of use of neural networks in NLP systems,
Architecture of learning software for search of
documents by query on Natural Language
Introduction to speech recognition
15. Conclusions. The future of
Artificial Intelligence and Applied AI Systems,
Practical
works are based on original products, developed by author and his colleagues:
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ESWin, software for building of hybrid expert
systems,
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Software
Alang+Finder for search of documents by query on Natural Language,
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Software
AnalDB for Data Base Analyzing by Neural Networks (perceptron + Hopfield
model).
More
information on this software is available from http://www.insycom.ru
and http://ermak.cs.nstu.ru/islab/
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Intelligent System
