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Introduction to the Turing Test MS
Introduction to the Turing Test MS

... to identify the responder unless they asked, “Are you a computer?” or similar question. Fifteen questions is half the total available so students will have to do some thinking about the best questions to ask.) 4. The Responder chooses ahead of time to respond to ALL fifteen questions as AI or human. ...
Intelligent Behavior in Humans and Machines
Intelligent Behavior in Humans and Machines

... very few of the field’s researchers showing concern with results from psychology or even taking inspiration from human behavior. I maintain that this trend is an unfortunate one which has hurt our ability to pursue two of AI’s original goals: to understand the nature of the human mind and to achieve ...
The Future of Communication Artificial Intelligence and Social
The Future of Communication Artificial Intelligence and Social

... smarter Tay gets” (Twitter, 2016), highlighting the nature of learning machines which lies in the interaction with the user. Tay’s example can bring up countless questions, such as ‘why does a bot have a name and a face’, ‘how can it get smarter when someone talks with it’, ‘why do big companies li ...
intro
intro

... Programming assignment (40%), written assignments (30%), final exam (30%) ...
Artificial  Intelligence  Prepares for  2001
Artificial Intelligence Prepares for 2001

... joints at which to carve this large body of science and engineering, and there are other disciplines that have already established legitimate claims on some of the pieces. Electrical, mechanical, and control engineers are making important contributions in robotics, image and waveform analysis, patte ...
AI In the News
AI In the News

... population lived in urban environments. • As of 2003 and it was projected to exceed the 50% mark ...
Joint issue with NOVÁTICA Artificial Intelligence
Joint issue with NOVÁTICA Artificial Intelligence

... the inclusion of temporal reasoning techniques, or knowledge based systems, provide an alternative answer to classic unsolvable problems. Pearl’s Probabilistic Reasoning in Intelligent Systems (1988) marked the arrival of the use of probability and decision theory in AI. The development of the belie ...
Artificial Intelligence Informed Search and Exploration Review: Basic
Artificial Intelligence Informed Search and Exploration Review: Basic

... Case 1: Consider one (fixed) cell at a time Case 2: Consider one row at a time Case 3: Consider one queen at a time Artificial Intelligence – p.2/52 ...
Artificial Intelligence Informed Search and Exploration
Artificial Intelligence Informed Search and Exploration

... Uninformed search strategies look for solutions by systematically generating new states and checking each of them against the goal. This approach is very inefficient in most cases. Most successor states are “obviously” a bad choice. Such strategies do not know that because they have ...
Artificial Intelligence
Artificial Intelligence

... • Scientists and Engineers are pushing the envelope of what is possible. • In Business, there is a better understanding of the capabilities of Intelligent Computer Systems • It is important to know which types of problems are suited for humans, and which are suited for Computers. ...
Expert System
Expert System

... Medical Expert Systems Today Medical expert systems were quite effective in evaluations comparing their performance with human experts. Support the physicians医生 decisions, rather than doing the whole diagnosis. Include many useful support materials辅助材料, such as report generating tools, reference ma ...
IJCAI_pres_v4 - Rensselaer Polytechnic Institute
IJCAI_pres_v4 - Rensselaer Polytechnic Institute

... for any specific task that it was asked to perform. The task could not be described to the machine in a normal conversation (verbal or written) if the specific nature of the task was not already programmed into the machine. Such considerations led many people to believe that the ability to communica ...
Artificial Intelligence for  Microcomputers
Artificial Intelligence for Microcomputers

... earlier text, the coded examples used here are sketchy; as a result, they are often difficult to follow or understand. But here we run up against a dilemma that all introductory AI books must face: whether to include complete listings of AI programs. Including the listings seems to take such a book ...
Job Opening at the Palo Alto Research Center: Postdoctoral
Job Opening at the Palo Alto Research Center: Postdoctoral

... A premier center for commercial innovation, PARC, a Xerox company, is in the business of breakthroughs. We work closely with global enterprises, entrepreneurs, government agencies and partners, and other clients to invent, co-develop, and bring to market game-changing innovations by combining imagin ...
Journal - International Journal of Advanced Research in
Journal - International Journal of Advanced Research in

... (AI) computer systems has been one of the most ambitious and, not surprisingly, controversial .It also seems that very early on, scientists and doctors alike were captivated by the potential such a technology might have in medicine. With intelligent computers able to store and process vast stores of ...
Intro
Intro

... 2.  A robot must obey the orders given to it by human beings, except where such orders would conflict with the First Law. 3.  A robot must protect its own existence as long as such protection does not conflict with the First or Second Laws. ...
Artificial Consciousness: Utopia or Real Possibility?
Artificial Consciousness: Utopia or Real Possibility?

... approaching human ability in an increasing number of other domains. In music, for example, many commercial programs can create melodic lines or entire songs according to specific styles, ranging from Bach to jazz. Other programs can also generate solos atop a given chord sequence, emulating jazz mas ...
Cognitive science
Cognitive science

... represented, remembered, retrieved, generated, and communicated. ...
Alan turing test
Alan turing test

... • An example of a program written in the mid-1960’s by Joseph Weizenbaum, a professor of computer science at MIT, was called ELIZA. (ELIZA: a real example of a Turing test) ...
comp-robo - Carnegie Mellon School of Computer Science
comp-robo - Carnegie Mellon School of Computer Science

... impetus to a power grid "smart" futuristic, hoping to take as soon as possible to the power transmission system into the digital age. President Obama will announce on Tuesday during a visit to a solar power plant in Arcadia, Florida, that the government will support with 3,400 million dollars to a h ...
Introduction - Myreaders.info
Introduction - Myreaders.info

... ◊ 3 rooms contain: a person, a computer, and an interrogator. ◊ The interrogator can communicate with the other 2 by teletype (to avoid the machine imitate the appearance or voice of the person). ◊ The interrogator tries to determine which is the person and which is the machine. ◊ The machine tries ...
Introduction to AI
Introduction to AI

... ◊ 3 rooms contain: a person, a computer, and an interrogator. ◊ The interrogator can communicate with the other 2 by teletype (to avoid the machine imitate the appearance or voice of the person). ◊ The interrogator tries to determine which is the person and which is the machine. ◊ The machine tries ...
The Rise of the Machines: How Chinese Executives Think about
The Rise of the Machines: How Chinese Executives Think about

... To better understand the potential impact that AI is likely to have on companies in traditional industries in China, we recently conducted a survey of 80 companies. Of the companies we surveyed, 60 are in traditional sectors such as retailing, heavy industry, and construction. We also surveyed 20 A ...
also available as Word 2000 ()
also available as Word 2000 ()

... or that can be usefully processed. This is why the system needs to have some control over what input data is selected for analysis and learning – both in terms of which data, and also the degree of detail. Senses (‘probes’) are needed not only for selection and focus, but also in order to ground con ...
Dr. Steven Dick THE POSTBIOLOGICAL UNIVERSE National
Dr. Steven Dick THE POSTBIOLOGICAL UNIVERSE National

... intelligence itself, any society will tend to increase its knowledge and intelligence. Because of the limits of biology and flesh-and-blood brains, notwithstanding advances in biotechnology, cultural evolution will eventually result in methods for improving intelligence beyond those biological limit ...
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Intelligence explosion

An intelligence explosion is the expected outcome of the hypothetically forthcoming technological singularity, that is, the result of man building artificial general intelligence (strong AI). Strong AI would be capable of recursive self-improvement leading to the emergence of superintelligence, the limits of which are unknown.The notion of an ""intelligence explosion"" was first described by Good (1965), who speculated on the effects of superhuman machines, should they ever be invented:Let an ultraintelligent machine be defined as a machine that can far surpass all the intellectual activities of any man however clever. Since the design of machines is one of these intellectual activities, an ultraintelligent machine could design even better machines; there would then unquestionably be an ‘intelligence explosion,’ and the intelligence of man would be left far behind. Thus the first ultraintelligent machine is the last invention that man need ever make, provided that the machine is docile enough to tell us how to keep it under control.Although technological progress has been accelerating, it has been limited by the basic intelligence of the human brain, which has not, according to Paul R. Ehrlich, changed significantly for millennia. However, with the increasing power of computers and other technologies, it might eventually be possible to build a machine that is more intelligent than humanity. If a superhuman intelligence were to be invented—either through the amplification of human intelligence or through artificial intelligence—it would bring to bear greater problem-solving and inventive skills than current humans are capable of. It could then design an even more capable machine, or re-write its own software to become even more intelligent. This more capable machine could then go on to design a machine of yet greater capability. These iterations of recursive self-improvement could accelerate, potentially allowing enormous qualitative change before any upper limits imposed by the laws of physics or theoretical computation set in.
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