Abstract is missing.
- Inductive constraint logic programming: An overviewSrinivas Padmanabhuni, Aditya Ghose. 1-8
- Some approaches to reasoning with incomplete and changing informationGrigoris Antoniou, Mary-Anne Williams. 9-44
- Curried least general generalization: A framework for higher order concept learningSrinivas Padmanabhuni, Randy Goebel, Koichi Furukawa. 45-60
- Approximate validityHenry E. Kyburg Jr.. 61-77
- Inductive theories from equational systemsMichael Bulmer. 78-91
- The role of default representations in incremental learningAditya Ghose, Srinivas Padmanabhuni, Randy Goebel. 92-105
- Learning stable concepts in a changing worldMichael Bonnell Harries, Kim Horn. 106-122
- Inducing complex spatial descriptions in two dimensional scenesBrendan McCane, Terry Caelli, Olivier Y. de Vel. 123-132
- A framework for learning constraints: Preliminary reportSrinivas Padmanabhuni, Jia-Huai You, Aditya Ghose. 133-147
- Induction of Constraint Logic ProgramsMichèle Sebag, Céline Rouveirol, Jean-Francois Puget. 148-167
- Belief network algorithms: A study of performance based on domain characterizationNathalie Jitnah, Ann E. Nicholson. 168-187
- A group decision and negotiation support system for argumentation based reasoningNikos I. Karacapilidis, Dimitris Papadias. 188-205
- From belief revision to design revision: Applying theory change to changing requirementsCara MacNish, Mary-Anne Williams. 206-220
- Using histories to model observations in theories of actionJavier Pinto. 221-233
- Modelling intertia in action languagesMikhail Prokopenko, Pavlos Peppas. 234-247
- Combinatorial Interpretation of uncertainty and conditioningArthur Ramer. 248-255
- Probabilistic diagnosis as an update problemAngelo C. Restificar. 256-266
- Cooperative combination of default logic and autoepistemic logicChoh-Man Teng. 267-283