Cs3014: Artificial Intelligence introduction to artificial intelligence

The Foundation of AI

• Linguistics
• For understanding natural languages
• different approaches has been adopted from the linguistic work
• Formal languages
• Syntactic and semantic analysis
• Knowledge representation

The main topics in AI

Artificial intelligence can be considered under a number of headings:

• Search (includes Game Playing).
• Representing Knowledge and Reasoning with it.
• Planning.
• Learning.
• Natural language processing.
• Expert Systems.
• Interacting with the Environment (e.g. Vision, Speech recognition, Robotics)

We won’t have time in this course to consider all of these.

more powerful and more useful computers

• more powerful and more useful computers
• new and improved interfaces
• solving new problems
• better handling of information
• relieves information overload
• conversion of information into knowledge

Some Advantages of Artificial Intelligence

The Disadvantages

• increased costs
• difficulty with software development - slow and expensive
• few experienced programmers
• few practical products have reached the market as yet.

Search

• Search is the fundamental technique of AI.
• Possible answers, decisions or courses of action are structured into an abstract space, which we then search.
• Search is either "blind" or “uninformed":
• blind
• we move through the space without worrying about what is coming next, but recognising the answer if we see it
• informed
• we guess what is ahead, and use that information to decide where to look next.
• We may want to search for the first answer that satisfies our goal, or we may want to keep searching until we find the best answer.