Artificial Intelligence

This page contains resources about Artificial Intelligence in general.

More specific information is included in each subfield.

Subfields and Concepts

See Category:Artificial Intelligence for some of its subfields.

• Algorithms
  • Computational Complexity
  • Sorting Algorithms
  • Graph and Tree Algorithms
    • Alpha–Beta Pruning (using Minimax Algorithm)
  • Optimization Algorithms
    • Genetic Algorithms
• Machine Learning (i.e. data-driven AI)
  • Artificial Neural Networks
  • Deep Learning
  • Probabilistic Reasoning
  • Bayesian Learning
• Logic and Automated Reasoning (i.e. rule-based AI)
  • First-Order Logic / Predicate Logic
  • Sequential Logic / Propositional Logic
• Hybrid AI (i.e. ML and Logic combined)
• Strong-AI (or True AI) vs Weak-AI (or Narrow AI)
  • Artificial Consciousness
  • Artificial General Intelligence
  • Computational Theory of Mind (cognition and consciousness together as a form of Computation)

Online Courses

Video Lectures

• CS188 Intro to AI by Dan Klein and Pieter Abbeel

Lecture Notes

• Artificial Intelligence by Emma Brunskill, Ariel Procaccia and Gianni Di Caro

Books

• Russell, S. J., & Norvig, P. (2010). Artificial Intelligence: A Modern Approach. Prentice Hall.

See also

• Computer Vision
• Natural Language Processing
• Robotics

Other Resources

• Artificial Intelligence - Google Scholar Metrics (Top Publications)
• What is the difference between strong-AI and weak-AI? - StackExchange