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Found 3 papers, 2 papers with code
Learning Alternative Ways of Performing a Task
We evaluate the inferred models with respect to two metrics that measure how well the models represent the examples and capture the different forms of executing a task showed by the examples.
General-purpose Declarative Inductive Programming with Domain-Specific Background Knowledge for Data Wrangling Automation
In this paper we propose to use IP as a means for automating repetitive data manipulation tasks, frequently presented during the process of {\em data wrangling} in many data manipulation problems.
Forgetting and consolidation for incremental and cumulative knowledge acquisition systems
The application of cognitive mechanisms to support knowledge acquisition is, from our point of view, crucial for making the resulting models coherent, efficient, credible, easy to use and understandable.
