Haha yea, AI hasn't work yet, but we still do have slight AI. I don't think we will ever be able to make a machine learn and respond and if we did that could pose harmful for if a machine can laern feelings and to program we could be in great trouble :p

Quote: Original post by Surg AKA Kunark
AI hasn't work yet

This really depends on how you define A.I. Some people insist on changing the definition so that A.I. is always achievable in "10 years" or so. The classical definition of Artificial Intelligence is to create a program that can think like a human. This is a very open ended definition, which set the stage for the 10-years-in-the-future type of definitions.

A more modern definition of A.I. is to create a program that can think like a human should. In that respect, A.I. has been remarkably successful. Bayesian spam filters have beaten humans in recognizing spam - both in having a high detection rate/low false positive rate, but also by a long shot in speed.

There are some tasks that a computer is more suited to than a human that can still be considered in the realm of artificial intelligence. Typically I use artificial intelligence in the sense that it is any code that is replacing work that a human would have to do.

Again, if you didn't read some of the summaries and introductions in those links I posted, you should. They give a very thorough introduction to A.I. without a strong bias of the latest fads and buzzwords.

If you're describing how a genetic algorithm works, then you should take a look at the schema theorem.

As kevmo noted, you're missing large and important chunks of AI. Take a look at Hidden Markov Models, Support Vector Machines, Bayesian Networks etc.

If you really want something impressive, then take a look at the field of artificial life, especially Karl Sims' work. You can find all of the above mentioned topics on Google/Wikipedia.

Hey guys, soo I've started my report finally.. and I was wondering if I could get some input on the definition section. Im actually hoping to double the length but am having some troubles in putting ideas into words without sounding repetitive lol like I always doo.

Quote:
2. Definition


The definition of artificial intelligence is more defined by the person who defines it then of the subject itself. Depending on the way a person views Artificial Intelligence changes the way that AI is defined. The best representation of the definition of Artificial Intelligence would be the following quote:

“It is the science and engineering of making intelligent machines”
– John McCarthy, Professor of Computer Science, Stanford University. “Artificial Intelligence.” About. 2005 About.com 01, Oct. 2005 http://psychology.about.com/library/weekly/aa072001a.html

The way that you read this quote, as well is an integral affect on the definition of Artificial Intelligence to you the reader. As it can mean many things, this report views AI as any means of making an intelligent machine which means, the act of making a machine perform in the way that a human would or may. Another definition for artificial intelligence is

“A branch of computer science devoted to the development of computer programs that will allow machines to perform functions normally requiring human intelligence”
- “Artificial Intelligence (noun).” Encarta Dictionary: English (North America). 2006 Microsoft Corporation 30, Oct, 2005

Quote:
What exactly is meant by the phrase artificial intelligence is open to some debate. According to John McCarthy, an important figure in the field, artificial intelligence is "the science and engineering of making intelligent machines" [1], whilst Microsoft Encarta Dictionary chooses to define it as "a branch of computer science devoted to the development of computer programs that will allow machines to perform functions normally requiring human intelligence" [2].

A terse paragraph is always preferable to one containing excess fluff, I find(although someone will probably come along and destroy my grammar or make it even more succinct :) ).

You should also mention the perceived differences between "hard" and "soft" artificial intelligence. Hard AI is the task of making a computer truly conscious, whilst soft is the task of making a machine act in a more intelligent manner (i.e. the application of AI to online shopping, game playing etc.)

You might consider dropping by a library or bookstore and reading the prefaces/introductions to a few AI books.

They seem to tend to describe their authors' versions of what AI is, and what it's not. Many seem to agree with kevmo that AI is only AI until it works, then it becomes just another algorithm :|

BTW is 'Fuzzy Logic' .....

Another area of AI is 'Planners' - planning a sequence of actions to achieve a certain goal - usually with subgoals, and ways of deciding which courses of actions are better than others and how incertainty can be handled.


Most large bookstores will have books titled something like 'An Introduction to Artificial Intelligence' which summerize most of this stuff.



Theres another area that deals with 'Grammars' which deals with the structures of languages....

Quote: Original post by Anonymous Poster



BTW is 'Fuzzy Logic' .....

Another area of AI is 'Planners' - planning a sequence of actions to achieve a certain goal - usually with subgoals, and ways of deciding which courses of actions are better than others and how incertainty can be handled.


Most large bookstores will have books titled something like 'An Introduction to Artificial Intelligence' which summerize most of this stuff.



Theres another area that deals with 'Grammars' which deals with the structures of languages....

incertainty <