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Happy Silver Anniversary, AI!
Artificial intelligence (AI), on the twenty-fifth anniversary of its naming, is a "kid, finally grown up." In this letter to his field, Feigenbaum recounts AI's stumbles and successes, its growing pains and maturation, to a place of preeminence among the sciences; standing with molecular biology, particle physics, and cosmology as owners of the best questions of science.
AI in the News
The computer The articles collected for this special 82-85. "Lexington is the home of Massachusetts Bolitho and Dr. Martin Klein, who set a superintelligent electronic'brain' collage in 1956. Please note that: (1) an the machine to music, emphasized that which reduces to a bare minimum the human excerpt may not reflect the overall tenor of their accomplishment was'an experiment element in the complex problem of the article, nor contain all of the relevant of mathematical importance only.' It is tracking and destroying an attacking airplane. Science News more popularly known -- can sight the approach - Jon Glick, Webmaster, AI TOPICS Letter. "A gambling of an attacker, compute its course, As is now well known, in operation at the Bell Telephone Laboratories, kill.
(AA)AI More than the Sum of Its Parts
This is a wonderful opportunity, yet a position is very hard to match in any other. The first AAAI conference was held at Stanford University; it was very much a research conference, a scientific event that generated a lot of excitement. The conference was small and intimate, with few parallel sessions. There were excellent opportunities for us to talk to one another. AAAI-80 gave real substance to the organization, clearly getting AAAI off on the right foot, and it gave new identity and cohesiveness to the field. This year--2006--has also been a big year, celebrating the 50th anniversary of the original meeting at Dartmouth College, where the name "artificial intelligence" first came into common use. Numerous events around the world, including a celebratory symposium at Dartmouth and an AAAI Fellows Symposium associated with AAAI-05, have marked this important milestone in the history of the field. Progress since our first AAAI conference has The First AAAI Conference was Held at Stanford University. While each year's results may have seemed incremental, when we look back over the entire period we see some truly amazing plate the big picture and, perhaps more importantly things. In job at DARPA), to identify gaps in our national hindsight this may no longer look so exciting computing research agenda. It also occurred to (purists will say that it was not an "AI" system me that that perspective was a very special that beat Garry Kasparov but rather a highly asset to use in drafting this presidential engineered special-purpose machine largely address. Looking forward from back then, no want to raise a broad issue and consider matter how Deep Blue actually worked, playing some larger questions regarding the nature of chess well was clearly an AI problem--in fact, a the field itself and the role that AAAI as an classical one--and our success was historic.
A Personal Account of the Development of Stanley, the Robot That Won the DARPA Grand Challenge
This article is my personal account on the work at Stanford on Stanley, the winning robot in the DARPA Grand Challenge. Between July 2004 and October 2005, my then-postdoc Michael Montemerlo and I led a team of students, engineers, and professionals with the single vision of claiming one of the most prestigious trophies in the field of robotics: the DARPA Grand Challenge (DARPA 2004). The Grand Challenge, organized by the U.S. government, was unprecedented in the nation's history. It was the first time that the U.S. Congress had appropriated a cash price for advancing technological innovation. My team won this prize, competing with some 194 other teams. Stanley was the fastest of five robotic vehicles that, on October 8, 2005, successfully navigated a 131.6-mile-long course through California's Mojave Desert. This essay is not about the technology behind our success; for that I refer the interested reader to recent articles on the technical aspects of Stanley. Instead, this is my personal story of leading the Stanford Racing Team. It is the story of a team of people who built an autonomous robot in record time. It is also a success story for the field of artificial intelligence, as Stanley used some state of the art AI methods in areas such as probabilistic inference, machine learning, and computer vision. Of course, it is also the story of a step towards a technology that, one day, might fundamentally change our lives.
Reports on the Twenty-First National Conference on Artificial Intelligence (AAAI-06) Workshop Program
Achtner, Wolfgang, Aimeur, Esma, Anand, Sarabjot Singh, Appelt, Doug, Ashish, Naveen, Barnes, Tiffany, Beck, Joseph E., Dias, M. Bernardine, Doshi, Prashant, Drummond, Chris, Elazmeh, William, Felner, Ariel, Freitag, Dayne, Geffner, Hector, Geib, Christopher W., Goodwin, Richard, Holte, Robert C., Hutter, Frank, Isaac, Fair, Japkowicz, Nathalie, Kaminka, Gal A., Koenig, Sven, Lagoudakis, Michail G., Leake, David B., Lewis, Lundy, Liu, Hugo, Metzler, Ted, Mihalcea, Rada, Mobasher, Bamshad, Poupart, Pascal, Pynadath, David V., Roth-Berghofer, Thomas, Ruml, Wheeler, Schulz, Stefan, Schwarz, Sven, Seneff, Stephanie, Sheth, Amit, Sun, Ron, Thielscher, Michael, Upal, Afzal, Williams, Jason, Young, Steve, Zelenko, Dmitry
The Workshop program of the Twenty-First Conference on Artificial Intelligence was held July 16-17, 2006 in Boston, Massachusetts. The program was chaired by Joyce Chai and Keith Decker. The titles of the 17 workshops were AIDriven Technologies for Service-Oriented Computing; Auction Mechanisms for Robot Coordination; Cognitive Modeling and Agent-Based Social Simulations, Cognitive Robotics; Computational Aesthetics: Artificial Intelligence Approaches to Beauty and Happiness; Educational Data Mining; Evaluation Methods for Machine Learning; Event Extraction and Synthesis; Heuristic Search, Memory- Based Heuristics, and Their Applications; Human Implications of Human-Robot Interaction; Intelligent Techniques in Web Personalization; Learning for Search; Modeling and Retrieval of Context; Modeling Others from Observations; and Statistical and Empirical Approaches for Spoken Dialogue Systems.
The Dartmouth College Artificial Intelligence Conference: The Next Fifty Years
The development of improved languages and machines was essential. He offered tribute to many early pioneering activities such as J. C. R. Lickleiter developing time-sharing, Nat Rochester designing IBM computers, and Frank Rosenblatt working with Trenchard More was sent to the summer project for two separate weeks by the University of Rochester. Marvin Minsky, Claude Shannon, and never liked the use of "artificial" or It is interesting to speculate informed future work. The attendees of AI was launched not by agreement Dating the beginning of any movement did not come at the same time on methodology or choice of problems is difficult, but the Dartmouth and most kept to their own research or general theory, but by the Summer Research Project of 1956 is agenda. McCarthy emphasized that shared vision that computers can be often taken as the event that initiated nevertheless there were important research made to perform intelligent tasks.
AAAI's National and Innovative Applications Conferences Celebrate 50 Years of AI
The celebration then moved to web and integrated intelligence, as on Artificial Intelligence and Boston where a huge turnout of AAAI well as the nectar and senior member the Nineteenth Innovative Applications fellows--from founding luminaries to papers, is a significant factor in this of Artificial Intelligence Conference 2006 fellow inductees--reported a trend." Senior member papers are a commemorated fifty years of great weekend meeting prior to the way to collect reflections about areas artificial intelligence research in AAAI conference full of discussions of work by leaders in the field.
Review of Thinking about Android Epistemology
Still, using symbolic representations of the building blocks of thinking, researchers in AI labs can execute programs that perform the sort of "symbol collision" that produces high-level thinking. The result enable the development of automated software of colliding beams of gold traveling near the technologies for assisting humans in these speed of light ("minibangs") allows physicists tasks. As with cosmology, the results of artificially to observe the liberation of quarks and gluons created intelligence validate theories of from protons and neutrons, revealing conditions intelligence of the natural kind. Theoretical unfolds in a set of often entertaining essays by and experimental breakthroughs since the philosophers, cognitive scientists, and computer 1970s, as well as technological advances in the scientists. The topics related to this theme art of colliding and detecting particles, have explored here are quite diverse and are typically made it possible to observe a new "energy frontier," presented in an informal, discursive style.