Lecture 01
Introduction of Artificial intelligence
Introduction
The field itself is an emerging area of computer sciences and a lot of work is underway in order mature the concepts of this field.
Intelligence
The characteristic of intelligence comes in when we try to solve something, we check various ways to solve it, we check different combinations, and many other things to solve different problems. All this thinking, this memory manipulation capability, this numerical processing ability and a lot of other things add to ones intelligence.
However, the doctor is actually faced with solving a problem of diagnosis having looked at some specific measurements. It is important to consider that a doctor who would have a better memory to store all this precious knowledge, better ability of retrieving the correct portion of the knowledge for the correct patient will be better able to classify a patient. Hence, telling us that memory and correct and efficient memory and information manipulation also counts towards ones.
Our intelligence actually helps us do this. Hence the ability to tackle ambiguous and fuzzy problems demonstrates intelligence
Intelligent Machines
- A machine searches through a mesh and finds a path?
- machine solves problems like the next number in the sequence?
- A machine develops plans? A machine diagnoses and prescribes?
- A machine answers ambiguous questions?
- A machine recognizes fingerprints?
- A machine understands?
- A machine perceives?
- A machine does MANY MORE SUCH THINGS!
- A machine behaves as HUMANS do? HUMANOID
Formal Definitions for Artificial Intelligence
Systems that think like humans Systems that act like humans “The exciting new effort to make computers think … machines with minds, in the full and literal sense” (Haugeland, 1985) “The art of creating machines that perform functions that require intelligence when performed by people” (Kurzweil 1990) “[The automation of] activities that we associate with human thinking, activities such “The study of how to make computers do things at which, at the moment, people are as decision making, problem solving, learning …” (Bellman, 1978).