| An Overview of Hybrid Neural Systems / Stefan Wermter ; Ron Sun |
| Structured Connectionism and Rule Representation |
| Layered Hybrid Connectionist Models for Cognitive Science / Jerome Feldman ; David Bailey |
| Types and Quantifiers in SHRUTI: A Connectionist Model of Rapid Reasoning and Relational Processing / Lokendra Shastri |
| A Recursive Neural Network for Reflexive Reasoning / Steffen Hölldobler ; Yvonne Kalinke ; Jörg Wunderlich |
| A Novel Modular Neural Architecture for Rule-Based and Similarity-Based Reasoning / Rafal Bogacz ; Christophe Giraud-Carrier |
| Addressing Knowledge-Representation Issues in Connectionist Symbolic Rule Encoding for General Inference / Nam Seog Park |
| Towards a Hybrid Model of First-Order Theory Refinement / Nelson A. Hallack ; Gerson Zaverucha ; Valmir C. Barbosa |
| Distributed Neural Architectures and Language Processing |
| Dynamical Recurrent Networks for Sequential Data Processing / Stefan C. Kremer ; John F. Kolen |
| Fuzzy Knowledge and Recurrent Neural Networks: A Dynamical Systems Perspective / Christian W. Omlin ; Lee Giles ; Karvel K. Thornber |
| Combining Maps and Distributed Representations for Shift-Reduce Parsing / Marshall R. Mayberry ; Risto Miikkulainen |
| Towards Hybrid Neural Learning Internet Agents / Garen Arevian ; Christo Panchev |
| A Connectionist Simulation of the Empirical Acquisition of Grammatical Relations / William C. Morris ; Garrison W. Cottrell ; Jeffrey Elman |
| Large Patterns Make Great Symbols: An Example of Learning from Example / Pentti Kanerva |
| Context Vectors: A Step Toward a "Grand Unified Representation" / Stephen I. Gallant |
| Integration of Graphical Rules with Adaptive Learning of Structured Information / Paolo Frasconi ; Marco Gori ; Alessandro Sperduti |
| Transformation and Explanation |
| Lessons from Past, Current Issues, and Future Research Directions in Extracting the Knowledge Embedded in Artificial Neural Networks / Alan B. Tickle ; Frederic Maire ; Guido Bologna ; Robert Andrews ; Joachim Diederich |
| Symbolic Rule Extraction from the DIMLP Neural Network |
| Understanding State Space Organization in Recurrent Neural Networks with Iterative Function Systems Dynamics / Peter Tino ; Georg Dorffner ; Christian Schittenkopf |
| Direct Explanations and Knowledge Extraction from a Multilayer Perceptron Network that Performs Low Back Pain Classification / Marilyn L. Vaughn ; Steven J. Cavill ; Stewart J. Taylor ; Michael A. Foy ; Anthony J.B. Fogg |
| High Order Eigentensors as Symbolic Rules in Competitive Learning / Hod Lipson ; Hava T. Siegelmann |
| Holistic Symbol Processing and the Sequential RAAM: An Evaluation / James A. Hammerton ; Barry L. Kalman |
| Robotics, Vision and Cognitive Approaches |
| Life, Mind, and Robots: The Ins and Outs of Embodied Cognition / Noel Sharkey ; Tom Ziemke |
| Supplementing Neural Reinforcement Learning with Symbolic Methods |
| Self-Organizing Maps in Symbol Processing / Timo Honkela |
| Evolution of Symbolization: Signposts to a Bridge Between Connectionist and Symbolic Systems / Ronan G. Reilly |
| A Cellular Neural Associative Array for Symbolic Vision / Christos Orovas ; James Austin |
| Application of Neurosymbolic Integration for Environment Modelling in Mobile Robots / Gerhard Kraetzschmar ; Stefan Sablatnog ; Stefan Enderle ; Gunther Palm |
| Author Index |
| An Overview of Hybrid Neural Systems / Stefan Wermter ; Ron Sun |
| Structured Connectionism and Rule Representation |
| Layered Hybrid Connectionist Models for Cognitive Science / Jerome Feldman ; David Bailey |
図書
