Artificial Intelligence - Special volume on qualitative reasoning about physical systems
Explaining and repairing plans that fail
Artificial Intelligence
Learning to plan in continuous domains
Artificial Intelligence
Qualitative reasoning: modeling and simulation with incomplete knowledge
Qualitative reasoning: modeling and simulation with incomplete knowledge
Case-based reasoning
Continuous case-based reasoning
Artificial Intelligence
Locally Weighted Learning for Control
Artificial Intelligence Review - Special issue on lazy learning
Intelligent Selection of Instances for Prediction Functions in LazyLearning Algorithms
Artificial Intelligence Review - Special issue on lazy learning
Artificial Intelligence Review - Special issue on lazy learning
Case-Based Reasoning: Experiences, Lessons and Future Directions
Case-Based Reasoning: Experiences, Lessons and Future Directions
A Case-Based Approach to Modeling Legal Expertise
IEEE Expert: Intelligent Systems and Their Applications
Applying Case-Based Reasoning to Autoclave Loading
IEEE Expert: Intelligent Systems and Their Applications
Towards CBR for Bioprocess Planning
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
Corporate Knowledge Management for the Millennium
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
Adaptation Cost as a Criterion for Solution Evaluation
EWCBR '96 Proceedings of the Third European Workshop on Advances in Case-Based Reasoning
Qualitative Knowledge to Support Reasoning About Cases
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
Case-Based Reasoning in Color Matching
ICCBR '97 Proceedings of the Second International Conference on Case-Based Reasoning Research and Development
An intelligent route management system for electric vehicle charging
Integrated Computer-Aided Engineering
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Biotechnical and food process industries have a need for tools that support the implementation of modern manufacturing practice. Flexible production strategies and total quality management require efficient design of the process recipes. This paper presents the approach used in Sophist, an adaptive recipe planning system. The system integrates case-based reasoning and a semi-qualitative process model for the design and optimisation of bioprocess recipes. In particular, we introduce a novel revision selection algorithm that improve the system's adaptivity. The behavior of the planner is exemplified by a batch fermentation planning experiment.