This repository contains assignments, labs, and practice exercises from an Artificial Intelligence course. It serves as a hands-on resource for learning and implementing various AI algorithms and concepts.
This repository is designed to provide practical implementations of AI concepts covered in the course. It includes Python and C++ scripts demonstrating algorithms and problem-solving techniques.
The course covers the following AI topics:
- Search Algorithms: Implementations of uninformed and informed search strategies.
- Game Playing: Development of AI agents for games like Tic-Tac-Toe and the 8 Queens problem.
- Machine Learning: Basic implementations of learning algorithms.
- Genetic Algorithms: Application of evolutionary strategies to problem-solving.
- Python: For scripting and implementing AI algorithms.
- C++: For performance-critical applications and algorithm implementations.