Cs3014: Artificial Intelligence introduction to artificial intelligence

Systems that act rationally

• Logic  only part of a rational agent, not all of rationality
• Sometimes logic cannot reason a correct conclusion
• At that time, some specific (in domain) human knowledge or information is used
• Thus, it covers more generally different situations of problems
• Compensate the incorrectly reasoned conclusion

Systems that act rationally

• Study AI as rational agent –

2 advantages:

• It is more general than using logic only
• Because: LOGIC + Domain knowledge
• It allows extension of the approach with more scientific methodologies

Rational agents

• An agent is an entity that perceives and acts
• This course is about designing rational agents

Abstractly, an agent is a function from percept histories to actions:

• [f: P*  A]
• For any given class of environments and tasks, we seek the agent (or class of agents) with the best performance
• Caveat: computational limitations make perfect rationality unachievable
•  design best program for given machine resources

Artificial

• Artificial
• Produced by human art or effort, rather than originating naturally.
• Intelligence
• is the ability to acquire knowledge and use it" [Pigford and Baur]
• So AI was defined as:
• AI is the study of ideas that enable computers to be intelligent.
• AI is the part of computer science concerned with design of computer systems that exhibit human intelligence(From the Concise Oxford Dictionary)

From the above two definitions, we can see that AI has two major roles:

From the above two definitions, we can see that AI has two major roles:

• Study the intelligent part concerned with humans.
• Represent those actions using computers.