what is meant by artificial intelligence?
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Artificial intelligence (AI), or Synthetic Intelligence, is defined as intelligence exhibited by an artificial entity. Such a system is generally assumed to be a computer.\n\nAlthough 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 in AI is concerned with producing machines to automate tasks requiring intelligent behavior. Examples include control, planning and scheduling, the ability to answer diagnostic and consumer questions, handwriting, speech, and facial recognition. As such, it has become a scientific discipline, focused on providing solutions to real life problems. AI systems are now in routine use in economics, medicine, engineering and the military, as well as being built into many common home computer software applications, traditional strategy games like computer chess and other video games.
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I dont know about that.\n\nBut there are AI softwares to recreate various\n human behavioural patterns.
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Intelligence is a general mental capability that involves the ability to reason, plan, solve problems, think abstractly, comprehend ideas and language, and learn. In psychology, the study of intelligence is related to the study of personality but is not the same as creativity, personality, character, or wisdom.\n\nAn intellectual is a person who uses his or her intellect to study, reflect, or speculate on a variety of different ideas.involving the faculty of knowing, perceiving, reasoning, reflecting.
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Yes, the definition for AI, when first coined, was broad enough that we can answer yes, AI has been made. We already have artificial intelligence, often referred to today as Weak AI, that performs relatively complex tasks. A good example is Deep Blue and other chess-playing programs. Other good examples are chatter bots. Most Weak AI, however, is created for the purpose of solving a specific solution or task. Games often implement a form of AI for enemies, using algorithms and previous user interactions to decide to throw a grenade, take cover, or shoot.\n\nIn contrast, Strong AI doe not yet exist. It is hard for a machine to prove, within human reason, that it has achived consciousness. There have been tests designed to indicate when Artificial Intelligence is really self-conscious, but there are questions that remain about whether those tests are sufficient enough to truly determine such a thing.
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Intelligent systems or expert systems are grouped under the category of "Machine Learning" or in the fuzzy realm of AI.  \n\nAll of these systems are given a training set which allows them to callibrate on providing a particular action or judgment when presented with new data.  Using feedback loops these systems become better and better at determining the right answer (in effect they "learn").\n\nOne example of these systems is neural networks, highly connected systems that are "trained" to do certain tasks.  Your brain for instance is a very complicated neural network with thousands of nodes and billions of connections where the connections get stronger or weaker depending on your life learnings and experience.
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See my article, Computers, Artificial Intelligence, Brains, and Souls.\n\nhttp://groups.yahoo.com/group/catholiccommunity/message/39009\n\n\n\n\n---
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I think you are asking about ALGORITHM:\nan algorithm is a logical recipe for performing some operation by the computer.
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Autonomous means no human interaction needed.\n\nSo an autonomous robot would be a machine that can operate itself.
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Check out A.L.I.C.E at www.pandorabots.com\nYou can talk to a pseudo AI there-the closest we've come.\nAlso check out the book(not the crappy movie) "I, Robot" by Isaac Asimov. He was the first to establish the "three rules" for AI that is still accepted today.  By the way, A.L.I.C.E. knows the three laws-just ask her.
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Machines can only be called intelligent when they learn new things without being programmed to. If from the basic program the machine takes in information and understands the relationship between the information. A computer is abit like the autistic person that can take in all the facts and builds up a knowledge base, but when it comes to expressing that knowledge it remains separate as in your example the computer would know the temperature, pressure etc but could not say if it was a good day or bad day, or what the temperature felt like at that time.
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If you're interested in AI, look into the Singularity.  The Singularity Institute is a great resource (link below).  The institute has lots of great information about current AI and of course the Singularity which is the idea that at some point we could create artificial intelligence that is smarter than human intelligence and what a reality-changing event that will be....
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Yes, theoretically its possible to make the computer think. This is called as AI (Artificial Intelligence). However the current technologies are good enough to make machines think within a narrow domain.\n\nYou tell the computer how a human would take a decision. The computer then analyses several such responses and decides the best course of action.
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Artificial speech. Made by machine. Robot language
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AI because he's the "Answer".
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There are many different AI techniques. Most AI bots simply have massive databases of common phrases and their responses. In essense, they use human evaluation functions that are created with lots of time and care.\n\nOther bots use a language tree, and simply respond with random choices along that tree - or a combination of random and evaluation functions.\n\nYou'd be surprised how simple their basic design is. A language is so complicated that it is nearly impossible to create a good 'fake' speaker without constant human input and tweaking, along with a massive database of some sort to fuel the bot's brain.
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Hi, What do you mean with your q's? Anyway here are a few links for "associative intelligence" - maybe there is something you are looking for.
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As a theory in the philosophy of mind, artificial intelligence (or AI) is the view that human cognitive mental states can be duplicated in computing machinery. Accordingly, an intelligent system is nothing but an information processing system. Discussions of AI commonly draw a distinction between weak and strong AI. Weak AI holds that suitably programmed machines can simulate human cognition. Strong AI, by contrast, maintains that suitably programmed machines are capable of cognitive mental states. The weak claim is unproblematic, since a machine which merely simulates human cognition need not have conscious mental states. It is the strong claim, though, that has generated the most discussion, since this does entail that a computer can have cognitive mental states. In addition to the weak/strong distinction, it is also helpful to distinguish between other related notions. First, cognitive simulation is when a device such as a computer\nsimply has the same the same input and output as a human. Second, cognitive replication occurs when the same internal causal relations are involved in a computational device as compared with a human brain. Third, cognitive emulation occurs when a computational device has the same causal relations and is made of the same stuff as a human brain. This condition clearly precludes silicon-based computing machines from emulating human cognition. Proponents of weak AI commit themselves only to the first condition, namely cognitive simulation. Proponents of strong AI, by contrast, commit themselves to the second condition, namely cognitive replication, but not the third condition. Proponents of strong AI are split between two camps: (a) classical computationalists, and (b) connectionists. According to classical computationalism, computer intelligence involves central processing units operating on symbolic representations. That is, information in the form of symbols is processed serially (one datum after another) through a central processing unit. Daniel Dennett, a key proponent of classical computationalism, holds to a top-down progressive decomposition of mental activity. That is, more complex systems break down into more simple ones, which end in binary on-off switches. There is no homunculi, or tiny person inside a cognitive system which does the thinking. Several criticisms have been launched against the classical computationalist position. First, Dennett's theory, in particular, shows only that digital computers do not have homunculi. It is less clear that human cognition can be broken down into such subsystems. Second, there is no evidence for saying that cognition is computational in its structure, rather than saying that it is like computation. Since we do not find computational systems in the natural world, it is more safe to presume that human thinking is only like computational processes.\nThird, human cognition seems to involves a global understanding of one's environment, and this is not so of computational processes. Given these problems, critics contend that human thinking seems to be functionally different than digital or serial programming.