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Electronic Commerce
Electronic Commerce

... Artificial Intelligence is the study of how to make computers do things at which, at the moment, people are better. ...
Artificial Intelligence
Artificial Intelligence

... What is artificial intelligence? It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically ...
Some major differences between expert systems and other systems:
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... whereas most AI systems must work with symbolic inp ut. Perhaps most important, human reasoning is able to make use at all times of a wide context of experience and bring that to bear on individual problems; in contrast, AI systems typically gain their power by having a very narrow focus. ...
ai-course-outline
ai-course-outline

... Artificial Intelligence – A Modern Approach (2nd edition) By Stuart Russell & Peter Norvig References: Course Objectives: Obtain an overview of artificial intelligence (AI) principles and approaches. Develop a basic understanding of the building blocks of AI as presented in terms of intelligent agen ...
Whatever happened to machines that think?
Whatever happened to machines that think?

... intelligence on a platter. The late 1960s and early 1970s saw feverish speculation about the impact intelligent machines might have on the world and the advantages they would bring to whoever developed them. The computer HAL in Stanley Kubrick's classic 1968 movie 2001: A space odyssey summed up the ...
Brief History of Artificial Intelligence - OCW
Brief History of Artificial Intelligence - OCW

... The Stanford Cart, built by Hans Moravec, becomes the first computercontrolled, autonomous vehicle when it successfully traverses a chair-filled room and circumnavigates the Stanford AI Lab. Drew McDermott & Jon Doyle at MIT, and John McCarthy at Stanford begin publishing work on non-monotonic logic ...
The Shape of Things to Come or How Things Will Shape the Way
The Shape of Things to Come or How Things Will Shape the Way

... How does Taz figure out where it is? • Has a map in its memory. • Measures how far it travels to get a rough idea of where it is at on the map. • Uses its laser and sonar readings to recognize places on its map to get an exact ...
Artificial Intelligence
Artificial Intelligence

... with my work. You can think of it kind of like Jarvis in Iron Man. I’ll start teaching it to understand my voice to control everything in our home … I’ll teach it to let friends in by looking at their faces when they ring the doorbell ... I’ll teach it to let me know if anything is going on in Max’s ...
The History of Artificial Intelligence
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Course Syllabus - Dr. Randy Ribler

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CMP3205 Intelligent Systems
CMP3205 Intelligent Systems

... Theory and implementation of a variety of techniques used to simulate intelligent behavior. Expert systems, fuzzy logic, neural networks, evolutionary computation, and two-player game-tree search will be covered in depth. Knowledge representation, pattern recognition, hybrid approaches, and handling ...
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... Renowned for her description and associated notes on Charles Babbage's Analytical Engine which was never built, but Ada's notes are widely recognized as containing the first ever computer program. “The Analytical Engine has no pretensions whatever to originate anything. It can do whatever we know ho ...
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Soft Computing - 123seminarsonly.com
Soft Computing - 123seminarsonly.com

... Conventional AI manipulates symbols on the assumption that human intelligence behavior can be stored in symbolically structured knowledge bases: this is known as: “ The physical symbol system hypothesis”  Focuses on attempt to mimic human intelligent behavior by expressing it in language forms or s ...
Adam Rosenwald - Temple CIS
Adam Rosenwald - Temple CIS

lecture01 - University of Virginia
lecture01 - University of Virginia

... History of AI Read the complete story in text • Alan Turing (1950) did much to define the problems and techniques • John McCarthy helped coordinate the players (1956) • Alan Newell and Herbert Simon (1956) did much to demonstrate first solutions • Marvin Minsky (student of von Neumann) built a neur ...
Presentation – John Mc. Carthy
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Special session Automation 2017
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... continuously adapt to, data without being explicitly programmed for that kind of data and to move from one problem domain to another with very few changes to their algorithmic core. Finally, Machine Intelligence systems gather from machine learning, but additionally posses the ability to perceive an ...
Introduction to Artificial Intelligence – Unit 1 What is AI? Course 67842
Introduction to Artificial Intelligence – Unit 1 What is AI? Course 67842

... Acting humanly: Turing Test  Turing (1950) “Computing machinery and intelligence”:  “Can machines think?”  “Can machines ...
Document
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... and initiated the field of logic. The development of formal logic in the late nineteenth and early twentieth centuries, provided a precise notation for statements about all kinds of things in the world and the relations between them. By 1965, programs existed that could, given enough time and memory ...
Lecture 2 Slides  - UBC Department of Computer Science
Lecture 2 Slides - UBC Department of Computer Science

... Not from last time AI assumes that what the brain does may be thought of at some level as some form of computation The assumption above is probably valid A physical symbol system has the necessary and sufficient means for intelligent behavior (The Physical Symbol System Hypothesis) These assumption ...
Hans W. Guesgen - Massey University
Hans W. Guesgen - Massey University

... mutually restricting variables. During this period he held a one-year post-doctoral fellowship at the International Computer Science Institute in Berkeley, California, where his research focus changed to spatial and temporal reasoning. His work in this area includes pioneering research in qualitativ ...
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History of artificial intelligence

The history of artificial intelligence (AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen; as Pamela McCorduck writes, AI began with ""an ancient wish to forge the gods.""The seeds of modern AI were planted by classical philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols. This work culminated in the invention of the programmable digital computer in the 1940s, a machine based on the abstract essence of mathematical reasoning. This device and the ideas behind it inspired a handful of scientists to begin seriously discussing the possibility of building an electronic brain.The field of AI research was founded at a conference on the campus of Dartmouth College in the summer of 1956. Those who attended would become the leaders of AI research for decades. Many of them predicted that a machine as intelligent as a human being would exist in no more than a generation and they were given millions of dollars to make this vision come true. Eventually it became obvious that they had grossly underestimated the difficulty of the project. In 1973, in response to the criticism of James Lighthill and ongoing pressure from congress, the U.S. and British Governments stopped funding undirected research into artificial intelligence. Seven years later, a visionary initiative by the Japanese Government inspired governments and industry to provide AI with billions of dollars, but by the late 80s the investors became disillusioned and withdrew funding again. This cycle of boom and bust, of ""AI winters"" and summers, continues to haunt the field. Undaunted, there are those who make extraordinary predictions even now.Progress in AI has continued, despite the rise and fall of its reputation in the eyes of government bureaucrats and venture capitalists. Problems that had begun to seem impossible in 1970 have been solved and the solutions are now used in successful commercial products. However, no machine has been built with a human level of intelligence, contrary to the optimistic predictions of the first generation of AI researchers. ""We can only see a short distance ahead,"" admitted Alan Turing, in a famous 1950 paper that catalyzed the modern search for machines that think. ""But,"" he added, ""we can see much that must be done.""
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