ARTIFICIAL INTELLIGENCE TOPICS

Reliable and relevant information about AI

AAAI's AITopics provides basic, understandable information and helpful resources concerning artificial intelligence, with an emphasis on material available online.

This virtual library of informational and pedagogical resources is for students, teachers, journalists, and everyone who would like to learn about AI. News stories about AI may be viewed in "AI in the News" or in any of the RSS feeds associated with individual topics.

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	Ed Feigenbaum Named One of Four Fellows for 2012 in Computer History Museum
	The Computer History Museum announced its 2012 Fellow Award honorees: Edward Feigenbaum, pioneer of artificial intelligence and expert systems; Steve Furber and Sophie Wilson, chief architects of the ARM processor architecture; and Fernando Corbató, pioneer of timesharing and the Multics operating system. The four Fellows will be inducted into the Museum’s Hall of Fellows on Saturday, April 28, 2012, at a gala dinner marking the 25th anniversary of the Awards. The Fellow Awards bring to life the Computer History Museum’s mission to preserve and present the artifacts and stories of the information age. The tradition began with the Museum’s first Fellow, Grace Murray Hopper, and has grown to a distinguished and select group of 54 members. This award represents the highest achievement in computing, honoring the people who have forever changed the world with their innovations. “The Fellows program recognizes the leading figures of the information age—men and women who have shaped the computing revolution and changed the world forever,” said John Hollar, Museum President and CEO.
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Early work in AI, in areas such as story understanding and commonsense reasoning, tried to tackle the problem head on, but ultimately failed for three main reasons. First, methods for representing and reasoning with uncertain information were not well understood; second, systems could not be grounded in real experience, without first solving AI-complete problems of vision or language understanding; and third, there were no well-defined, meaningful tasks against which to measure progress. ...we are now at a time when we are well-poised to make serious progress on the goal of building systems that understand human experience. Each of the previous barriers is weakened ... [This problem] will be a driving challenge for work in AI in the years to come, and results from the work will profoundly impact our knowledge of how we live and interact with the world and with each other. Henry Kautz, "Understanding Human Experience". Position paper for the article, "Artificial Intelligence: The Next Twenty-Five Years", Matthew Stone and Haym Hirsh, editors, AI Magazine, 26(4): Winter 2005, 85–97.

Henry Kautz President of the Association for the Advancement of Artificial Intelligence

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AAAI's AITopics is a virtual library of resources for students, teachers, journalists, and everyone who would like to learn about artificial intelligence. To get started, search for a term or topic that interests you, or browse AITopics using the links to the left. There are thousands of articles online -- take your time, browse, and have fun.

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AITopics Editorial Board

• Harry Barrow
• Bruce Buchanan
• Ken Forbus
• Jon Glick
• Eric Horvitz
• Alan Mackworth
• Deborah McGuinness
• Peter Norvig
• Jonathan Schaeffer
• Alan Schultz
• Aaron Sloman
• Reid Smith
• Ramasamy (Samy) Uthurusamy
• Bonnie Webber

Assistant Editor

• Colleen van Lent

Student Intern

• Joshua Eckroth

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We gratefully acknowledge past funding for this project from the NSF (Award #0738341).

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