Home | | Artificial Intelligence | | Computational Intelligence | | Artificial Intelligence | Areas and Task Domain of Artificial Intelligence(AI)

Chapter: Artificial Intelligence

| Study Material, Lecturing Notes, Assignment, Reference, Wiki description explanation, brief detail |

Areas and Task Domain of Artificial Intelligence(AI)

Machine Vision: It is easy to interface a TV camera to a computer and get an image into memory; the problem is understandingwhat the image represents.

TASK DOMAIN OF AI

 

Areas of Artificial Intelligence

 

- Perception

 

·       Machine Vision: It is easy to interface a TV camera to a computer and get an image into memory; the problem is understandingwhat the image represents. Vision takes lots of computation; in humans, roughly 10% of all calories consumed are burned in vision computation.

 

·       Speech Understanding: Speech understanding is available now. Some systems must be trained for the individual user and require pauses between words. Understanding continuous speech with a larger vocabulary is harder.

 

·       Touch(tactile or haptic) Sensation: Important for robot assembly tasks.

 

-  Robotics Although industrial robots have been expensive, robot hardware can be cheap: Radio Shack has sold a working robot arm and hand for $15. The limiting factor in application of robotics is not the cost of the robot hardware itself. What is needed is perception and intelligence to tell the robot what to do; ``blind'' robots are limited to very well-structured tasks (like spray painting car bodies).

 

-   Planning Planning attempts to order actions to achieve goals. Planning applications include logistics, manufacturing scheduling, planning manufacturing steps to construct a desired product. There are huge amounts of money to be saved through better planning.

 

-  Expert Systems Expert Systems attempt to capture the knowledge of a human expert and make it available through a computer program. There have been many successful and economically valuable applications of expert systems. Expert systems provide the following benefits

• Reducing skill level needed to operate complex de vices.

 

• Diagnostic advice for device repair.

 

• Interpretation of complex data.

 

• ``Cloning'' of scarce expertise.

 

• Capturing knowledge of expert who is about to ret ire.

 

• Combining knowledge of multiple experts.

 

- Theorem Proving Proving mathematical theorems might seem to be mainly of academic interest. However, many practical problems can be cast in terms of theorems. A general theorem prover can therefore be widely applicable.

Examples:

  Automatic construction of compiler code generators from a description of a CPU's instruction set.

 

  J Moore and colleagues proved correctness of the floating-point division algorithm on AMD CPU chip.

- Symbolic Mathematics Symbolic mathematics refers to manipulation of formulas, rather than arithmetic on numeric values.

  Algebra

 

  Differential and Integral Calculus

 

 

Symbolic manipulation is often used in conjunction with ordinary scientific computation as a generator of programs used to actually do the calculations. Symbolic manipulation programs are an important component of scientific and engineering workstations.

 

- Game Playing Games are good vehicles for research because they are well formalized, small, and self-contained. They are therefore easily programmed. Games can be good models of competitive situations, so principles discovered in game-playing programs may be applicable to practical problems.

 


Study Material, Lecturing Notes, Assignment, Reference, Wiki description explanation, brief detail


Copyright © 2018-2020 BrainKart.com; All Rights Reserved. Developed by Therithal info, Chennai.