What Went Wrong and Why: Lessons from AI Research and Applications

Contents

• Lessons Learned: Automated Event Recognition in Distributed Data Environments

  Mary B. Hudson, Debra Schreckenghost, Carroll Thronesbery

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• What Went Wrong and Why: Lessons from AI Research and Applications

  Daniel Shapiro and Mehmet H. Göker

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• Strangeness

  Sashank Varma, Daniel L. Schwartz, W. Lawrence Neeley Jr.

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• Reconstructing True Wrong Inductions

  Jean-Gabriel Ganascia

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• And then the Phone Rang

  J. P. Gunderson, L. F. Gunderson

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• The Repeated Demise of Logic Programming and Why It Will be Reincarnated

  Carl Hewitt

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• Contents

  Daniel Shapiro and Mehmet H. Göker

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• Did Something Go Wrong?

  John McCarthy

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• AI Lessons Learned from Experiments in Insider Threat Detection

  Alexander Liu, Cheryl Martin, Tom Hetherington, Sara Matzner

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• Organizing Committee

  Daniel Shapiro and Mehmet H. Göker

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• Integrated Intelligence: RobotS Are Here To Stay

  Manuela Veloso

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• Identifying and Characterizing Class Clusters to Explain Learning Performance

  Ricardo Vilalta

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• Beyond the Elves: Making Intelligent Agents Intelligent

  Craig Knoblock

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• Electric Elves: What Went Wrong and Why

  Milind Tambe, Emma Bowring, Jonathan Pearce, Pradeep Varakantham, David Pynadath, Paul Scerri

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• The Voice of the Turtle

  Doug Lenat

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• AdaptiveInfo — Personalizing the Wireless Web: Machine Learning 275 and Business 101

  Michael Pazzani

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