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Learning and Reasoning with Complex Representations [1998]

1
Inductive constraint logic programming: An overview
9
Some approaches to reasoning with incomplete and changing information
45
Curried least general generalization: A framework for higher order concept learning
61
Approximate validity
78
Inductive theories from equational systems
92
The role of default representations in incremental learning
106
Learning stable concepts in a changing world
123
Inducing complex spatial descriptions in two dimensional scenes
133
A framework for learning constraints: Preliminary report
148
Induction of constraint logic programs
168
Belief network algorithms: A study of performance based on domain characterisation
188
A Group Decision and Negotiation Support System for argumentation based reasoning
206
From belief revision to design revision: Applying theory change to changing requirements
221
Using histories to model observations in theories of action
234
Modelling inertia in action languages
248
Combinatorial interpretation of uncertainty and conditioning
256
Probabilistic diagnosis as an update problem
267
Cooperative combination of default logic and autoepistemic logic
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