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Learning and Reasoning with Complex Representations [1998]
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Inductive constraint logic programming: An overview
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Some approaches to reasoning with incomplete and changing information
- 45
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Curried least general generalization: A framework for higher order concept learning
- 61
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Approximate validity
- 78
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Inductive theories from equational systems
- 92
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The role of default representations in incremental learning
- 106
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Learning stable concepts in a changing world
- 123
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Inducing complex spatial descriptions in two dimensional scenes
- 133
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A framework for learning constraints: Preliminary report
- 148
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Induction of constraint logic programs
- 168
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Belief network algorithms: A study of performance based on domain characterisation
- 188
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A Group Decision and Negotiation Support System for argumentation based reasoning
- 206
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From belief revision to design revision: Applying theory change to changing requirements
- 221
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Using histories to model observations in theories of action
- 234
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Modelling inertia in action languages
- 248
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Combinatorial interpretation of uncertainty and conditioning
- 256
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Probabilistic diagnosis as an update problem
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Cooperative combination of default logic and autoepistemic logic