AAAI Spring Symposium 2006 - What Went Wrong and Why: Lessons from AI Research and Applications: Stanford University, CA, USA

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What Went Wrong and Why: Lessons from AI Research and Applications, Papers from the 2006 AAAI Spring Symposium, Technical Report SS-06-08, Stanford, California, USA, March 27-29, 2006. AAAI 2006
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Daniel G. Shapiro, Mehmet H. Göker:
Organizing Committee.
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Daniel G. Shapiro, Mehmet H. Göker:
Preface.
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Manuela M. Veloso:
Integrated Intelligence: RobotS Are Here to Stay. 1
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Carl Hewitt:
The Repeated Demise of Logic Programming and Why It Will Be Reincarnated. 2-9
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Doug Lenat:
The Voice of the Turtle. 10
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John McCarthy:
Did Something Go Wrong? 11
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Michael J. Pazzani:
Adaptive Info - Personalizing the Wireless Web: Machine Learning 275 and Business 101. 12
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James P. Gunderson, Louise F. Gunderson:
And Then the Phone Rang ... 13-18
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Ricardo Vilalta:
Identifying and Characterizing Class Clusters to Explain Learning Performance. 19-25
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Jean-Gabriel Ganascia:
Reconstructing True Wrong Inductions. 26-33
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Milind Tambe, Emma Bowring, Jonathan P. Pearce, Pradeep Varakantham, David V. Pynadath, Paul Scerri:
Electric Elves: What Went Wrong and Why. 34-39
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Craig A. Knoblock:
Beyond the Elves: Making Intelligent Agents Intelligent. 40
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Mary Beth Hudson, Debra Schreckenghost, Carroll Thronesbery:
Lessons Learned: Automated Event Recognition in Distributed Data Environments. 41-48
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Alexander Liu, Cheryl Martin, Tom Hetherington, Sara Matzner:
AI Lessons Learned from Experiments in Insider Threat Detection. 49-55
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Sashank Varma, Daniel L. Schwartz, W. Lawrence Neeley Jr.:
Strangeness. 56-

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