Artificial Intelligence

PEAS is a shortcut for

Performance measure

Environment

Actuators

Sensors

The six sub-disciplines of MASINT are radar, radio frequency, geophysical, nuclear radiation, materials, and electro-optical.

Do not exist.

Artificial turf generally has a pile (the visible grass-like portion), a tuft or infill (which helps the pile stand upright), and a backing (which holds everything together).

The pile can be made of different materials, but the most common pile material (and purportedely the safest) is polyethylene (with no more than 40% nylon).

The tufting can be polyethylene (or on older styles where infill is used the infill can be rubber or coated silica sand).

As far as the backing is concerned, there is a wide variety of materials used to form the backing. Some manufacturers use environmentally-friendly fibrous material and some use a layer of urethane with holes punched intermittently thoughout the roll of turf to accomodate the necessary drainage rates.

Alan Turing

Use the tolower() function in the C standard library.

Some love artificial intelligence because they think it will make their life easier for the-- which is true but there are disadvantages as well. Suppose the fact that these things will only be machines and they will not always listen to command especially if they are programed as a complete human. Some hate the very idea of A.I. because they have problems with the fact that the robots might 'take over the word' or the fact that the robots will take our jobs and we will be left money-less.

A very good question....there isn't that much of it in the word today....

I would add that the collective intelligence of the human race has enabled us to become the most powerful species on the planet, dominating less intelligent species, but at the same time, we may fall victim to our own intelligence if we destroy our world through war and/or pollution. So the jury is still out on the significance of intelligence.

i dont know hahahA :D

Very smart, they can identify faces better then humans can. Read and understand many diffrent langauges...

Hypothethically speaking, if an AGI (Artificial General Intelligence) were to be created, it would have an approximate IQ of 600.

Example:

In this example we will try to demonstrate a very simple practical example of artificial Intelligence programming in Delphi using Delphi arrays.

I have chosen a Nepali game named "GATTA TIPNE KHEL" (meaning pebble picking game) for this purpose. We can see small children playing this game in the playground. In this pebble picking game a pile of some pebbles is kept in the ground. One of the two players picks one, two or three pebbles at a time in his turn, leaving the pile for the other player to pick for his alternate turn. In this alternate picking process, the player who picks the last pebble(s) will be the loser and called to be a DOOM in Nepali.

The main logic of the game is to leave the pile of pebbles with 13, 9, 5 or 1 pebble(s) for the opponent to pick. In the program the starting number of pebbles are set to 17, 21, 25, 29 … etc. so that computer could win always if it does not make a mistake. But in the real play computer seems to be gradually learning by correcting mistakes of the previously played games. At last it finds all its mistakes and corrects them to become an unbeatable champion.

It seems computer simulates the psychological learning process of animal, learning by correcting and not repeating the mistakes. A multidimensional array of elements (1..4,1..3) is chosen as the instruction book for the computer to pick the pebbles. The instruction book contains four pages with three lines of instructions to pick pebbles. The first line instructs to pick a single pebble, the second line instructs to pick 2 and the third line instructs to pick 3 pebbles. At the beginning, computer chooses a random page and a random line of instruction to pick the pebble.

When the game finishes, if computer looses the game, the last instruction is red-marked (erased) and the instruction will not be read in the future. After playing many games, all the instructions leading to a lost game will be red marked and there will be left only the instructions those lead to a win.

A sophisticated competitive intelligence program for supermarkets would involve a combination of information acquisition from multiple channels, comprehensive analysis of that information by SMEs (where it becomes useful intelligence) and the transfer of that information in a usable format to key decision markers who are able to use that intelligence to apply both strategy and tactics. Nowadays, it would also include an information security component to protect a supermarkets own most sensitive data.

I think that most of the time, robots and Artificial Intelligence (AI) in Science Fiction serve to ask the deeper questions "What does it mean to be human?," "What inherent value is there to life?," and "What does it mean to have a soul?" From Asimov's three laws to the current Battlestar Gallactica Cylons, those questions have been addressed. Other questions arise as well... can man make something that works better than himself? what is morality? can you build it into a machine? is some life more important than other life? if so, which? :) Some stories talk of man expanding his life-span by gaining artificial parts or even adopting a full robot body... or not always expanding, but perhaps improving. Those ask other questions about the quality of life and acceptance of invasive technology. :) ... I'd say that, even though I haven't covered all of the deeper issues by far, that most of them revolve around questions we want to ask about ourselves. By using robots and artificial intelligence we can ask those questions, and questions about God and supreme power, in a more objective way.

Protect a person's rights guranteed by the consitution and U.S. laws

Artificial intelligence (AI) began to emerge prominently in the second generation of computing, which spanned the 1950s to the mid-1960s. This era saw the development of programming languages like LISP, specifically designed for AI research. While the foundational concepts of AI were introduced earlier, it was during this generation that significant advancements in machine learning and problem-solving algorithms occurred, laying the groundwork for future AI developments.