Artificial intelligence (AI) is intelligence demonstrated by machines, as opposed to the natural intelligence displayed by humans or animals. Leading AI textbooks define the field as the study of "intelligent agents": any system that perceives its environment and takes actions that maximize its chance of achieving its goals. Some popular accounts use the term "artificial intelligence" to describe machines that mimic "cognitive" functions that humans associate with the human mind, such as "learning" and "problem solving", however this definition is rejected by major AI researchers.
The course is to study recent developments in intelligent systems, allowing the students to
acquire the ability to understand the intelligence and solving problems and search in many techniques in order to find the goals
Distribution of Marks
Russell, Stuart J., and Peter Norvig. Artificial intelligence: a modern approach. Malaysia; Pearson Education Limited,, 2016.
Kochenderfer, Mykel J. Decision making under uncertainty: theory and application. MIT press, 2015.
Plomin, Robert, and Sophie von Stumm. "The new genetics of intelligence." Nature Reviews Genetics 19.3 (2018): 148.
Do, H., F. Massa, and T. Tison. "Using fuzzy logic control approach and model reduction for solving frictional contact problems." Engineering Computations 33.4 (2016): 1006-1032..
Introduction to Intelligent System
Approaches Based Goal of Computational Model
Techniques that make the system to behave as Intelligent
Problem Solving, Search and Control Strategies
Problem Solving, States
Problem Solution and description
Generate and test search
Best first search
A* Search, Constraint Search
Introduction to Machine Learning
Learning and Expert Systems
Natural Language Processing
Introduction to Neural Networks
Neural Network Architectures
Single Layer Neural Network System
Applications of Neural Networks
Multi-Layer Neural Network System
Back Propagation Neural Network 1
Back Propagation Neural Network 2
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