Abstract is missing.
- An Overview of Hybrid Neural SystemsStefan Wermter, Ron Sun. 1-13
- Layered Hybrid Connectionist Models for Cognitive ScienceJerome A. Feldman, David Bailey. 14-27
- Types and Quantifiers in SHRUTI: A Connectionist Model of Rapid Reasoning and Relational ProcessingLokendra Shastri. 28-45
- A Recursive Neural Network for Reflexive ReasoningSteffen Hölldobler, Yvonne Kalinke, Jörg Wunderlich. 46-62
- A Novel Modular Neural Architecture for Rule-Based and Similarity-Based ReasoningRafal Bogacz, Christophe G. Giraud-Carrier. 63-77
- Addressing Knowledge-Representation Issues in Connectionist Symbolic Rule Encoding for General InferenceNam-Seog Park. 78-91
- Towards a Hybrid Model of First-Order Theory RefinementNelson A. Hallack, Gerson Zaverucha, Valmir C. Barbosa. 92-106
- Dynamical Recurrent Networks for Sequential Data ProcessingStefan C. Kremer, John F. Kolen. 107-122
- Fuzzy Knowledge and Recurrent Neural Networks: A Dynamical Systems PerspectiveChristian W. Omlin, C. Lee Giles, Karvel K. Thornber. 123-143
- Combining Maps and Distributed Representations for Shift-Reduce ParsingMarshall R. Mayberry, Risto Miikkulainen. 144-157
- Towards Hybrid Neural Learning Internet AgentsStefan Wermter, Garen Arevian, Christo Panchev. 158-174
- A Connectionist Simulation of the Empirical Acquisition of Grammatical RelationsWilliam C. Morris, Garrison W. Cottrell, Jeffrey L. Elman. 175-193
- Large Patterns Make Great Symbols: An Example of Learning from ExamplePentti Kanerva. 194-203
- Context Vectors: A Step Toward a "Grand Unified Representation"Stephen I. Gallant. 204-210
- Integration of Graphical Rules with Adaptive Learning of Structured InformationPaolo Frasconi, Marco Gori, Alessandro Sperduti. 211-225
- Lessons from Past, Current Issues, and Future Research Directions in Extracting the Knowledge Embedded in Artificial Neural NetworksAlan B. Tickle, Frédéric Maire, Guido Bologna, Robert Andrews, Joachim Diederich. 226-239
- Symbolic Rule Extraction from the DIMLP Neural NetworkGuido Bologna. 240-254
- Understanding State Space Organization in Recurrent Neural Networks with Iterative Function Systems DynamicsPeter Tiño, Georg Dorffner, Christian Schittenkopf. 255-269
- Direct Explanations and Knowledge Extraction from a Multilayer Perceptron Network that Performs Low Back Pain ClassificationMarylin L. Vaughn, Steven J. Cavill, Stewart J. Taylor, Michael A. Foy, Anthony J. B. Fogg. 270-285
- High Order Eigentensors as Symbolic Rules in Competitive LearningHod Lipson, Hava T. Siegelmann. 286-297
- Holistic Symbol Processing and the Sequential RAAM: An EvalutationJames A. Hammerton, Barry L. Kalman. 298-312
- Life, Mind, and Robots: The Ins and Outs of Embodied CognitionNoel E. Sharkey, Tom Ziemke. 313-332
- Supplementing Neural Reinforcement Learning with Symbolic MethodsRon Sun. 333-347
- Self-Organizing Maps in Symbol ProcessingTimo Honkela. 348-362
- Evolution of Symbolization: Signposts to a Bridge Between Connectionist and Symbolic SystemsRonan Reilly. 363-371
- A Cellular Neural Associative Array for Symbolic VisionChristos Orovas, Jim Austin. 372-386
- Application of Neurosymbolic Integration for Environment Modelling in Mobile RobotsGerhard K. Kraetzschmar, Stefan Sablatnög, Stefan Enderle, Günther Palm. 387-401