Artificial Intelligence Preface Course

What is Artificial Intelligence Preface?

Overview What do self-driving cars, face recognition, web search, industrial robots, missile guidance, and tumor detection have in common? They are all complex real world problems being solved with applications of intelligence (AI). This course will provide a broad understanding of the basic techniques for building intelligent computer systems and an understanding of how AI is applied to problems. You will learn about the history of AI, intelligent agents, state-space problem representations, uninformed and heuristic search, game playing, logical agents, and constraint satisfaction problems. Hands-on experience will be gained by building a basic search agent. Adversarial search will be examined through the creation of a game and an introduction to machine learning includes work on linear regression.

Artificial Intelligence is a vast field encompassing issues that require more space than a single book on the topic. With inspiration from multiple fields of knowledge such as neurology, psychology, philosophy and literature to say the least; artificial intelligence is an amalgamation of yet more refined subjects which are briefly described in this course. 

Content

• History
• Basics
• Challenges
  • Reasoning, problem solving
  • Knowledge representation
  • Planning
  • Learning
  • Natural language processing
  • Perception
  • Motion and manipulation
  • Social intelligence
  • General intelligence
• Approaches
  • Cybernetics and brain simulation
  • Symbolic
  • Sub-symbolic
  • Statistical
  • Integrating the approaches
• Tools
• Applications
• Philosophy and ethics
  • The limits of artificial general intelligence
  • Ethical machines
  • Machine consciousness, sentience and mind
  • Superintelligence
• Impact
  • Risks of narrow AI
  • Risks of general AI