Sponsored by the Association for the Advancement of Artificial Intelligence<\/i><\/p>\n\n\n\n
AAAI was pleased to announce that the Eighteenth Innovative Applications of Artificial Intelligence Conference (IAAI-06), celebrating fifty years of artificial intelligence, was collocated with the Twenty-First National Conference on Artificial Intelligence. Both conferences were held in Boston, Massachusetts, at the Seaport Hotel and World Trade Center. The dates of the conferences were July 16-20, 2006.<\/p>\n\n\n\n
The IAAI-06 Conference Chair was Bruce Porter, University of Texas at Austin.<\/p>\n\n\n\n
Winning the DARPA Grand Challenge<\/b>
Sebastian Thrun (Stanford University), Tuesday, July 18, 1:50\u20132:50 pm<\/p>\n\n\n\n
The DARPA Grand Challenge was the most significant event in the field of robotics in more than a decade. A mobile ground robot had to traverse 132 miles of punishing desert terrain in less than ten hours. In 2004, the best robot only made 7.3 miles. A year later, Stanford won this historical challenge and cashed the $2M prize. This talk, delivered by the leader of the Stanford Racing Team, will provide insights into the software architecture of Stanford\u2019s winning robot \u201cStanley.\u201d The robot heavily relied on advanced sensor technology and advanced artificial intelligence to make sense out of the massive amounts of sensor data acquired by the vehicle. The talk will introduce you into the fascinating world of autonomous robotics, share with you many of the race insights, and discuss with you some of the implications for the future of our society.<\/p>\n\n\n\n
Sebastian Thrun<\/i> is an associate professor of computer science and director of the Stanford Artificial Intelligence Laboratory (SAIL). Prior to winning the Grand Challenge, Thrun published seven books, nearly 300 refereed papers, won numerous best paper and career achievement awards, was named one of the \u201cBrilliant Ten\u201d by Popular Science,<\/i> and served as principal investigator on six major DARPA research initiatives. Thrun\u2019s research focuses on robotics, machine learning, and artificial intelligence. Stanley, the robot, was recently named \u201cBest Robot Ever\u201d by Wired Magazine.<\/i><\/p>\n\n\n\n
Electrifying Knowledge Work: 362 Innovative Applications of Artificial Intelligence 1989-2006<\/b>
Neil Jacobstein (Teknowledge Corporation), Wednesday, July 19, 10:20\u201311:20 am<\/p>\n\n\n\n
Early-stage artificial intelligence has already produced a wide range of valuable applications in industry and government. Many of these applications have performed complex tasks such as planning, monitoring, design, risk assessment, diagnosis, training, process control, classification, and analysis. AAAI\u2019s Innovative Applications of AI Conference has published over 360 successful applications of AI in fields as diverse as biotechnology, space flight, manufacturing, security, paleontology, construction, energy, music, military, intelligence, banking, telecommunications, news media, management, law, emergency services, agriculture, treaty verification, and many others. This talk will review the patterns that connect these applications over 18 years of the IAAI conference: what worked, what didn\u2019t, and what were the key trends. None of these systems exhibited general intelligence, but each documented our ability to codify and distribute human problem-solving knowledge and put it to work.<\/p>\n\n\n\n
Neil Jacobstein<\/i> is CEO of TEKNOWLEDGE Corporation, a 25-year-old AI company. He was the chair of AAAI\u2019s 2005 Innovative Applications of AI conference. He has been a technical consultant on projects for NSF, DARPA, NASA, NIH, EPA, DOE, NIST, NRO, GM, Ford, P&G, Boeing, Applied Materials, NPR, NAS, the Army\u2019s STRICOM Technical Advisory Board, and others. In 1999, Jacobstein became a Crown Fellow at the Aspen Institute. He received his BS Summa cum Laude from the University of Wisconsin and an MS from the University of Texas. He attended Stanford University\u2019s Advanced Management College and Managing Innovation programs. Jacobstein was a graduate research intern and consultant at Xerox PARC.<\/p>\n\n\n\nBuchanan to Deliver Robert S. Engelmore Memorial Lecture<\/h4>\n\n\n\n
What Do We Know About Knowledge?<\/b>
Bruce G. Buchanan (University of Pittsburgh)<\/p>\n\n\n\n
Bruce G. Buchanan, University Professor of Computer Science Emeritus, University of Pittsburgh, delivered the AAAI-06 Robert S. Engelmore Memorial Lecture in Boston, Massachusetts. His address was delivered Wednesday, July 19, from 4:20\u20135:20 pm.<\/p>\n\n\n\n
Intelligent systems need knowledge. However, the simple equation \u201cknowledge is power\u201d leaves three major questions unanswered. First, what do we mean by \u201cknowledge,\u201d second, what do we mean by \u201cpower,\u201d and third, what do we mean by \u201cis?\u201d<\/p>\n\n\n\n
In this talk, Buchanan examined these questions. In particular, he focused on some of the milestones in understanding the nature of knowledge and some of what we have learned from fifty years of AI. The discipline and detail required to write programs that use knowledge have given us some valuable lessons for implementing the knowledge principle. But there are still interesting challenges ahead.<\/p>\n\n\n\n
Bruce Buchanan received a BA in mathematics from Ohio Wesleyan University (1961), and M.S. and Ph.D. degrees in philosophy from Michigan State University (1966). He was on the faculty at Stanford University and the University of Pittsburgh, with appointments in computer science, philosophy, medicine, and intelligent systems. He is a Fellow of the Association for the Advancement of Artificial Intelligence, a Fellow of the American College of Medical Informatics, and a member of the National Academy of Sciences Institute of Medicine. He has served on the editorial boards of several journals and has served as Secretary-Treasurer and President of the American Association of Artificial Intelligence.<\/p>\n\n\n\n
For further information about the IAAI 2006 Conference, consult the following:<\/p>\n\n\n\n
Bruce Porter (Chair), University of Texas at Austin<\/i>
William Cheetham (Cochair), General Electric Research<\/i>
Steve Chien, Jet Propulsion Laboratory<\/i>
Diane Cook, University of Texas at Arlington<\/i>
Usama Fayyad, Yahoo! Research Labs<\/i>
Kai Goebel, General Electric Research<\/i>
Mehmet Goker, Price Waterhouse<\/i>
Karen Haigh, BBN Technologies<\/i>
Micheal Hewett, Hewett Research<\/i>
Randall Hill, USC Institute for Creative Technologies<\/i>
Neil Jacobstein, Teknowledge Corporation<\/i>
Risto Miikkulainen, University of Texas at Austin<\/i>
Elaine Rich, University of Texas at Austin<\/i>
John Riedl, University of Minnesota<\/i>
Ted Senator
Howard Shrobe, Massachusetts Institute of Technology<\/i>
Reid Smith, Medstory, Inc.<\/i>
Ramasamy Uthurusamy, General Motors Corporation<\/i><\/p>\n","protected":false},"featured_media":0,"parent":40884,"menu_order":0,"template":"","meta":{"_acf_changed":false,"_eb_attr":"","ub_ctt_via":"","_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":""},"categories":[1],"class_list":{"0":"post-40844","1":"conference","2":"type-conference","3":"status-publish","5":"category-uncategorized","6":"entry"},"acf":[],"yoast_head":"\n