Welcome to the "Artificial Life" Project

We are exploring the possibilities of artificial life and neural systems.

Research & Learning Materials

As part of our internal training, we utilize the MIT 6.034 Artificial Intelligence curriculum. These lectures are fundamental to our neural architecture research.

Lec 02: Reasoning: Goal Trees

Lec 04: Search: Games, Minimax

Lec 05: Constraints: Drawings

Looking for more materials? The complete course by Professor Patrick Winston is available at the Official MIT OCW Lecture Archive.

The website is under development. Some sections (Neural Sandbox, API Docs) are temporarily unavailable.

Contact: contact@artificiallife.duckdns.org

Course Syllabus Highlights

This archive focuses on the algorithmic perspective of Artificial Intelligence. Key topics covered in these sessions include:

Search paradigms: DFS, BFS, and Optimal Search.
Constraint Satisfaction Problems (CSP) in vision and scheduling.
Learning: Neural Nets, Genetic Algorithms, and SVMs.