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Artificial intelligence (AI) is defined as intelligence exhibited by an artificial (non-natural, manufactured) entity. Such a system is generally assumed to be a computer. Although AI has a strong science fiction connotation, it forms a vital branch of computer science, dealing with intelligent behavior, learning and adaptation in machines. ReSearch with Google in AI is concerned with producing useful machines to automate human tasks requiring intelligent behavior. Examples include: answering questions about products for customers, handwriting recognition, speech recognition, and face recognition in CCTV cameras. As such, it has become an engineering discipline, focused on providing solutions to practical problems. AI methods were used to schedule units in the first Gulf War, and DARPA stated that the costs saved by the efficiency of AI have repaid the US government's entire investment in AI research since the 1950s. AI systems are now in routine use in many businesses, hospitals and military units around the world, as well as being built into many common home computer software applications and video games.
Schools of thoughtAI divides roughly into two schools of thought: Conventional AI vs. Computational Intelligence (CI). Conventional AI mostly involves methods now classified under Machine learning, characterised by formalism & statistical analysis. This is also known as symbolic AI, logical AI, neat AI and Good Old Fasioned Artificial Intelligence (GOFAI). (Also see semantics.) Methods include:
Computational Intelligence involves iterative learning of connectionist system parameter tuning, based on empirical data. This is also known as non-symbolic AI, scruffy AI or soft computing. Methods are:
HistoryMain article: History of artificial intelligence PhilosophyMain article: Philosophy of artificial intelligence Science fictionIn science fiction AI is commonly portrayed as an upcoming power, trying to overthrow human authority (HAL 9000, The Borg, The Matrix) or as service humanoids (C-3PO, Data, AI, Bicentennial Man, I Robot & Marvin). See fictional computers & fictional robots. The inevitability of AI world domination is also argued by some science writers like Asimov and Warwick. ApplicationsTypical problems in which AI methods are applied include:
Expectations of AIAI methods are often employed in cognitive science research, which tries to model subsystems of human cognition. Historically, AI researchers aimed for the loftier goal of so-called strong AI—of simulating complete, human-like intelligence. This goal is epitomised by the fictional strong AI computer HAL 9000 in the film 2001: A Space Odyssey. This goal is unlikely to be met in the near future and is no longer the subject of most serious AI research. The label "AI" has something of a bad name due to the failure of these early expectations, and aggravation by various popular science writers and media personalities such as Professor Kevin Warwick whose work has raised the expectations of AI research far beyond its current capabilities. For this reason, many AI researchers say they work in cognitive science, informatics, statistical inference or information engineering. Recent research areas include Bayesian networks and artificial life. The vision of artificial intelligence replacing human professional judgment has arisen many times in the history of the field, and today in some specialized areas where "expert systems" are routinely used to augment or to replace professional judgment in some areas of engineering and of medicine. Even though a substantial amount of AI functionality exists in everyday software, some misinformed commentators on computer technology have tried to suggest that a good definition of AI would be "research that has not yet been commercialised". This happens because when AI gets incorporated into an os or application it becomes an understated feature. AI languages & Programming StylesGOFAI research is often done in programming languages such as Prolog or Lisp. Bayesian work often uses Matlab or Lush (a numerical dialect of Lisp). These languages include many specialist probabilistic libraries. Real-life and especially real-time systems are likely to use C++. AI programmers are often academics and emphasise rapid development and prototyping rather than bulletproof software engineering practices, hence the use of interpreted languages to empower rapid command-line testing and experimentation. The most basic AI program is a single If-Then statement, such as "If A, then B." If you type an 'A' letter, the computer will show you a 'B' letter. Basically, you are teaching a computer to do a task. You input one thing, and the computer responds with something you told it to do or say. All programs have If-Then logic. A more complex example is if you type in "Hello.", and the computer responds "How are you today?" This response is not the computer's own thought, but rather a line you wrote into the program before. Whenever you type in "Hello.", the computer always responds "How are you today?". It seems as if the computer is alive and thinking to the casual observer, but actually it is an automated response. AI is often a long series of If-Then (or Cause and Effect) statements. A randomizer can be added to this. The randomizer creates two or more response paths. For example, if you type "Hello", the computer may respond with "How are you today?" or "Nice weather" or "Would you like to play a game?" Three responses (or 'thens') are now possible instead of one. There is an equal chance that any one of the three responses will show. This is similar to a pull-cord talking doll that can respond with a number of sayings. A computer AI program can have 1,000s of responses to the same input. This makes it less predictable and closer to how a real person would respond, because a living person would respond unpredictably. When 1,000s of input ("if") are written in (not just "Hello.") and 1,000s of responses ("then") written into the AI program, then the computer can talk (or type) with most people, if those people know the If statement input lines to type. Many games, like chess and strategy games, use action responses instead of typed responses, so that players can play against the computer. Robots with AI brains would use If-Then statements and randomizers to make decisions and speak. However, the input may be a sensed object in front of the robot instead of a "Hello." line, and the response may be to pick up the object instead of a response line. AI researchers, research projects & institutions
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