Ai_Papers

This is a catalog for the foundations and emergence of AI research. Understanding the historic development of computational logic from primary sources is useful in gaining insight on the current state of AI.

Topics Covered:

• Leibniz’s binary
• Boolean algebra
• Goedel’s incompleteness theorem
• Turing Machines
• Analogy between neurons and logic
• Von Neumann’s digital brain
• Neural nets
• Perceptron
• Lisp and recursion
• Thrashing avoidance/Memory management
• Pattern recogntion, searches, induction
• Boltzmann machines
• Search methods
• Page rank
• Embodied Cogntion for machines
• improving genetic algorithms
• Gradient descent
• Semantic modeling
• Deep learning