Artificial Intelligence, Volume 131

Volume 131, Number 1-2, September 2001

• Michael Thielscher:
  The Qualification Problem: A solution to the problem of anomalous models. 1-37
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• Geoff Sutcliffe, Christian B. Suttner:
  Evaluating general purpose automated theorem proving systems. 39-54
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• Yashwant Prasad Singh, Pinaki Roy Chowdhury:
  Dynamic tunneling based regularization in feedforward neural networks. 55-71
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• Biplav Srivastava, Subbarao Kambhampati, Minh Binh Do:
  Planning the project management way: Efficient planning by effective integration of causal and resource reasoning in RealPlan. 73-134
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• James P. Delgrande, Arvind Gupta, Tim Van Allen:
  A comparison of point-based approaches to qualitative temporal reasoning. 135-170
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• Toshihide Ibaraki, Alexander Kogan, Kazuhisa Makino:
  On functional dependencies in q-Horn theories. 171-187
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• Anthony G. Cohn, Donald Perlis:
  "Field Reviews": A new style of review article for Artificial Intelligence. 189
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• Ernest Davis:
  Two machine learning textbooks: An instructor's perspective. 191-198
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• Peter A. Flach:
  On the state of the art in machine learning: A personal review. 199-222
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• Tom M. Mitchell:
  Author's response to reviews of Machine Learning. 223-225
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