A Boxology of Design Patterns for Hybrid Learning and Reasoning Systems
Modular Design Patterns for Hybrid Learning and Reasoning Systems: a taxonomy, patterns and use cases
Deep Symbolic Learning: Discovering Symbols and Rules from Perceptions
The Response Shift Paradigm to Quantify Human Trust in AI Recommendations
A Survey on Machine Learning Applied to Dynamic Physical Systems
Quantum-Inspired Machine Learning: a Survey
A Comparative Study of Distributional and Symbolic Paradigms for Relational Learning
A Survey on Understanding, Visualizations, and Explanation of Deep Neural Networks
"Explanation" is Not a Technical Term: The Problem of Ambiguity in XAI
A nonclassical symbolic theory of working memory, mental computations, and mental set
Directions for Explainable Knowledge-Enabled Systems
A Neural-Symbolic Architecture for Inverse Graphics Improved by Lifelong Meta-Learning
Reflective Hybrid Intelligence for Meaningful Human Control in Decision-Support Systems
A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming
A Critical Review of Inductive Logic Programming Techniques for Explainable AI
Neurosymbolic Reinforcement Learning and Planning: A Survey
A Survey on Machine Learning Approaches for Modelling Intuitive Physics
Fast and scalable learning of neuro-symbolic representations of biomedical knowledge