Communications of the ACM
Neural network learning and expert systems
Neural network learning and expert systems
The engineering of knowledge-based systems: theory and practice
The engineering of knowledge-based systems: theory and practice
Hybrid distributed/local connectionist architectures
Hybrid architectures for intelligent systems
Integrating rules and connectionism for robust commonsense reasoning
Integrating rules and connectionism for robust commonsense reasoning
Extracting Refined Rules from Knowledge-Based Neural Networks
Machine Learning
Knowledge-based artificial neural networks
Artificial Intelligence
Neural Networks
Knowledge-based neurocomputing
Knowledge-based neurocomputing
Neural knowledge processing in expert systems
Knowledge-based neurocomputing
Hybrid Intelligent Systems
Hybrid Neural Network and Expert Systems
Hybrid Neural Network and Expert Systems
Connectionist-Symbolic Integration: From Unified to Hybrid Approaches
Connectionist-Symbolic Integration: From Unified to Hybrid Approaches
Knowledge Representation: An AI Perspective
Knowledge Representation: An AI Perspective
Neural-Symbolic Learning System: Foundations and Applications
Neural-Symbolic Learning System: Foundations and Applications
A Recency Inference Engine for Connectionist Knowledge Bases
Applied Intelligence
Rule Revision With Recurrent Neural Networks
IEEE Transactions on Knowledge and Data Engineering
Multi-inference with Multi-neurules
SETN '02 Proceedings of the Second Hellenic Conference on AI: Methods and Applications of Artificial Intelligence
Interpretation of Trained Neural Networks by Rule Extraction
Proceedings of the International Conference, 7th Fuzzy Days on Computational Intelligence, Theory and Applications
An Efficient Hybrid Rule Based Inference Engine with Explanation Capability
Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference
Updating a Hybrid Rule Base with New Empirical Source Knowledge
ICTAI '02 Proceedings of the 14th IEEE International Conference on Tools with Artificial Intelligence
Rule-based update methods for a hybrid rule base
Data & Knowledge Engineering
Combinations of case-based reasoning with other intelligent methods
International Journal of Hybrid Intelligent Systems - CIMA-08
Freedom of choice and creativity in multicriteria decision making
KICSS'10 Proceedings of the 5th international conference on Knowledge, information, and creativity support systems
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In this paper, we first present and compare existing categorization schemes for neuro-symbolic approaches. We then stress the point that not all hybrid neuro-symbolic approaches can be accommodated by existing categories. Such a case is rule-based neuro-symbolic approaches that propose a unified knowledge representation scheme suitable for use in expert systems. That kind of integrated schemes have the two component approaches tightly and indistinguishably integrated, offer an interactive inference engine and can provide explanations. Therefore, we introduce a new category of neuro-symbolic integrations, namely 'representational integrations'. Furthermore, two sub-categories of representational integrations are distinguished, based on which of the two component approaches of the integrations is given pre-eminence. Representative approaches as well as advantages and disadvantages of both sub-categories are discussed.