C SC 421: Artificial Intelligence
... He invited them to Vermont for "The
Dartmouth summer research project on
From that point on, because of McCarthy, the
field would be known as Artificial
The Dream of an Intelligent Machine
... simplest way I can summarize is to say that there
are now in the world machines that think, that learn
and that create. Moreover, their ability to do these
things is going to increase rapidly until – in a
visible future – the range of problems they can
handle will be coextensive with the range to wh ...
Introduction to Artificial Intelligence
... • Automated reasoning.
• Planning (get the robot to find the bananas
in the other room).
• Machine Learning (adapt to new
• Natural language understanding.
• Machine vision, speech recognition, finding
data on the web, robotics, and much more.
History of Artificial Intelligence
... • The first successful commercial expert system R1
began operation at the Digital Equipment
Corporation (McDermott, 1982)
• Nearly every major U.S. corporation had its own
AI group and was either using or investigating
• In 1981, the Japanese announced the "Fifth
Generation" project, ...
Fifth Generation Languages
... technical issues. There are subfields which are focused on the
solution of specific problems, on one of several
possible approaches, on the use of widely differing tools and
towards the accomplishment of particular applications.
The central problems (or goals) of AI research include reasoning,
Postdoctoral researcher in artificial intelligence, agents or
... Prague, run by prof. Michal Pechoucek, seeks a postdoctoral researcher to perform research in
the field of artificial intelligence. This is an open position, custom tailored to highly motivated,
creative individuals, who are going to contribute to research projects in the domains of
multiagent syste ...
AI - CSE@IIT Delhi
... Medical reasoning systems
Planning rocket launching, large assemblies
Intelligent tutoring systems
Fault diagnosis in power plants
Fraud detection for finance
Stock market predictions
 Artificial intelligence has been the subject of tremendous
... market for AI had reached over a
billion dollars. At the same time,
Japan's fifth generation computer
project inspired the U.S and
British governments to restore
funding for academic research in
the field. However, beginning
with the collapse of the Lisp
Machine market in 1987, AI once
again fel ...
BIS 2200 Intelligent Systems
... Course Description: By the completion of this course, the student should; Have an appreciation of
computational issues in problem solving; Have an understanding of concepts, methods and principles in
knowledge based problem solving; Be able to design and implement prototype knowledge systems.
... • Soft computing (ANN, Fuzzy set, GA, etc.)
... Artificial Intelligence Programming
Keynote Speaker-3: History of Computing and AI, a
... 1980-88 One of four founders of a new Schlumberger Artificial Intelligence research laboratory in Palo
Alto. Research into intelligent aids for VLSI design, expert systems for diagnosing process problems, visual inspection
of ICs, resource allocation for automatic testers, systems to aid the design ...
Artificial intelligence (AI)
... Artificial intelligence (AI) is intelligence exhibited by machines. In computer science, the field of AI
research defines itself as the study of "intelligent agents": any device that perceives its environment
and takes actions that maximize its chance of success at some goal. Colloquially, the te ...
... o Many scientists from different fields started discussing the idea of
creating an artificial brain. (1943)
o Turing Test (1950) - Paper by Alan Turing that proposed that
machines are able to think.
o In 1951 many researchers started writing game-playing programs for
games such as chess, and checker ...
About ECAI - ECAI 2010
... Initiated in 1974, the biennial European Conference on Artificial Intelligence (ECAI) is Europe's premier archival venue
for presenting scientific results in AI. Organised by the European Coordinating Committee for AI (ECCAI), the ECAI
conference provides an opportunity for researchers to present an ...
... References used for teaching material for
MSE614 – Intelligent Manufacturing – Spring 2008 – I. Costea, Ph.D.
Manufacturing Systems Engineering and Management, CSUN
Barr, A., and Feigenbaum, E. A., The Handbook of Artificial Intelligence, AdissonWesley, Inc., 1981.
Bramer, M, and Devedzic, V., Edito ...
In the history of artificial intelligence, an AI winter is a period of reduced funding and interest in artificial intelligence research. The term was coined by analogy to the idea of a nuclear winter. The field has experienced several hype cycles, followed by disappointment and criticism, followed by funding cuts, followed by renewed interest years or decades later. There were two major winters in 1974–80 and 1987–93 and several smaller episodes, including: 1966: the failure of machine translation, 1970: the abandonment of connectionism, 1971–75: DARPA's frustration with the Speech Understanding Research program at Carnegie Mellon University, 1973: the large decrease in AI research in the United Kingdom in response to the Lighthill report, 1973–74: DARPA's cutbacks to academic AI research in general, 1987: the collapse of the Lisp machine market, 1988: the cancellation of new spending on AI by the Strategic Computing Initiative, 1993: expert systems slowly reaching the bottom, and 1990s: the quiet disappearance of the fifth-generation computer project's original goals.The term first appeared in 1984 as the topic of a public debate at the annual meeting of AAAI (then called the ""American Association of Artificial Intelligence""). It is a chain reaction that begins with pessimism in the AI community, followed by pessimism in the press, followed by a severe cutback in funding, followed by the end of serious research. At the meeting, Roger Schank and Marvin Minsky—two leading AI researchers who had survived the ""winter"" of the 1970s—warned the business community that enthusiasm for AI had spiraled out of control in the '80s and that disappointment would certainly follow. Three years later, the billion-dollar AI industry began to collapse.Hypes are common in many emerging technologies, such as the railway mania or the dot-com bubble. An AI winter is primarily a collapse in the perception of AI by government bureaucrats and venture capitalists. Despite the rise and fall of AI's reputation, it has continued to develop new and successful technologies. AI researcher Rodney Brooks would complain in 2002 that ""there's this stupid myth out there that AI has failed, but AI is around you every second of the day."" In 2005, Ray Kurzweil agreed: ""Many observers still think that the AI winter was the end of the story and that nothing since has come of the AI field. Yet today many thousands of AI applications are deeply embedded in the infrastructure of every industry."" He added: ""the AI winter is long since over.""