Theoretical foundations can be found in the following papers. Learning of constraints: @inproceedings{ciravegna2020constraint, title={A Constraint-Based Approach to Learning and Explanation.}, author= ...

Digital learning, a form of education that uses electronic resources to facilitate learning, often requires a delicate balance between creativity and the constraints inherent in the medium.

Abstract: Learning symbolic-level numerical constraints is key to use abstractions in effective reasoning and transfer of knowledge for robot systems. We investigate this problem in an ...

This paper describes an application of an analytical learning technique, plausible explanation-based learning (PEBL), that dynamically acquires search control knowledge for a constraint-based ...

Phonological processes are context-dependent sound changes in natural languages. We present an unsupervised approach to learning human-readable descriptions of phonological processes from collections ...

This repository contains two notebooks which will guide you step-by-step towards the implementation of learning of and with constraints in Pytorch. Learning with constraints: learn how to train a NN ...

Balancing time constraints with hands-on learning requires creative integration of practical activities into the curriculum. Integrate project-based assignments that complement theoretical ...