Neurosymbolic Artificial Intelligence (other common spellings: Neural-Symbolic, Neuro-Symbolic) concerns the combination of artificial neural networks (including deep learning) with symbolic methods, e.g. from logic based knowledge representation and reasoning in artificial intelligence. We list pointers to some of the work on this issue which the Data Semantics Lab is pursuing. Explainable Artificial Intelligence is concerned with understanding and explaining the decisions made by AI systems, in particular deep learning systems; since we approach this topic using symbolic knowledge (more precisely, knowledge graphs), our work on this is also related to neuro-symbolic integration.
Call for book chapter proposals for A Compendium of Neuro-Symbolic Artificial Intelligence
Overview Articles and Links
- Neuro-Symbolic Artificial Intelligence: Current Trends
- Neuro-Symbolic Artificial Intelligence - The State of the Art (2022 edited book)
- Neural-Symbolic Integration and the Semantic Web (2020 journal overview paper)
- Neural-Symbolic Learning and Reasoning: A Survey and Interpretation
- Pascal Hitzler is also involved with the Neural-Symbolic Learning and Reasoning Association. Its website has links to resources.
Deductive Logical Reasoning Using Deep Learning
- Towards Bridging the Neuro-Symbolic Gap: Deep Deductive Reasoners
- On the Capabilities of Pointer Networks for Deep Deductive Reasoning
- Neuro-Symbolic Deductive Reasoning for Cross-Knowledge Graph Entailment
- Reasoning over RDF Knowledge Bases using Deep Learning
- Completion Reasoning Emulation for the Description Logic EL+
- On the Capabilities of Logic Tensor Networks for Deductive Reasoning
- Complementing Logical Reasoning with Sub-symbolic Commonsense
- Fusion of Semantic Knowledge into Deep Learning Models, at US2TS 2019
- Tutorial on Deep Deductive Reasoning over Semantic Web Logics at NeSy 2021
Explainable Artificial Intelligence Using Knowledge Graphs
- Explaining Deep Learning Hidden Neuron Activations using Concept Induction
- Wikipedia Knowledge Graph for Explainable AI
- Explaining Trained Neural Networks with Semantic Web Technologies: First Steps
- Efficient Concept Induction for Description Logics (AAAI 2019 paper)
- A Framework for Explainable Deep Neural Models Using External Knowledge Graphs
- AAAI 2019 Tutorial: On Explainable AI: From Theory to Motivation, Applications and Limitations
- Tutorial on the Role of Data Semantics for Explainable AI, at US2TS 2019