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AAAI Fall Symposium 2004: Arlington, Virginia, USA
- Compositional Connectionism in Cognitive Science, Papers from the 2004 AAAI Fall Symposium. Arlington, VA, USA, October 22-24, 2004. AAAI Press 2004
Contents
- Simon D. Levy, Ross W. Gayler:
Preface. 97- - David Arathorn:
From Wolves Hunting Elk to Rubik's Cubes: Are the Cortices Composition/Decomposition Engines? 1-5 - Reinhard Blutner, Petra Hendriks, Helen de Hoop, Oren Schwartz:
When Compositionality Fails to Predict Systematicity. 6-11 - Francisco Calvo Garzón:
Context-free versus Context-Dependent Constituency Relations: A False Dichotomy. 12-16 - Chris Eliasmith:
Learning Context Sensitive Logical Inference in a Neurobiolobical Simulation. 17-19 - John C. Flackett, John Tait, Guy Littlefair:
Scaling Connectionist Compositional Representations. 20-24 - Helmar Gust, Kai-Uwe Kühnberger:
Cloning Composition and Logical Inferences in Neural Networks Using Variable-Free Logic. 25-30 - John E. Hummel, Keith J. Holyoak, Collin B. Green, Leonidas A. A. Doumas, Derek Devnich, Aniket Kittur, Donald J. Kalar:
A Solution to the Binding Problem for Compositional Connectionism. 31-34 - Christopher T. Kello, Daragh E. Sibley, Andrew Colombi:
Using Simple Recurrent Networks to Learn Fixed-Length Representations of Variable-Length Strings. 35-39 - David Landy:
Recurrent Representation Reinterpreted. 40-43 - Marshall R. Mayberry, Matthew W. Crocker:
Generating Semantic Graphs through Self-Organization. 44-49 - Karl Pfleger:
On-Line Learning of Predictive Compositional Hierarchies by Hebbian Chunking. 50-53 - François Rivest, Thomas R. Shultz:
Compositionality in a Knowledge-Based Constructive Learner. 54-58 - Mark Steedman:
Where Does Compositionality Come From? 59-62 - Whitney Tabor, Dalia Terhesiu:
On the Relationship between Symbolic and Neural Computation. 63-68 - Peter Tiño, Barbara Hammer:
On Early Stages of Learning in Connectionist Models with Feedback Connections. 69-71 - Frank van der Velde:
A Neural Model of Compositional Sentence Structures. 72-75 - Markus Werning, Alexander Maye:
Implementing the (De-)Composition of Concepts: Oscillatory Networks, Coherency Chains and Hierarchical Binding. 76-81 - Dominic Widdows, Michael Higgins:
Geometric Ordering of Concepts, Logical Disjunction, and Learning by Induction. 82-
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