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The Connectionist Scientist Game: Rule Extraction and Refinement in a Neural Network

, , and . CU-CS-530-91. Department of Computer Science and Institute of Cognitive Science, University of Colorado, Boulder, (1992)

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Learnability in Optimality Theory, and . MIT Press, (2000)The Connectionist Scientist Game: Rule Extraction and Refinement in a Neural Network, , and . CU-CS-530-91. Department of Computer Science and Institute of Cognitive Science, University of Colorado, Boulder, (1992)Implementing a Connectionist Production System Using Tensor Products, and . Proceedings of the 1988 Connectionist Models Summer School, page 265--272. San Francisco, CA: Morgan Kaufmann, (1989)Tensor Product Production System: A Modular Architecture and Representation, and . Connection Science, (1990)Discrete symbolic optimization and Boltzmann sampling by continuous neural dynamics: Gradient Symbolic Computation., , and . CoRR, (2018)Question-Answering with Grammatically-Interpretable Representations., , , and . AAAI, page 5350-5357. AAAI Press, (2018)Connectionism, constituency, and language of thought. chapter 17, page 286--306. Blackwell Publishers, Malden, MA, (1991)Subsymbolic Computation Theory for the Human Intuitive Processor.. CiE, volume 7318 of Lecture Notes in Computer Science, page 675-685. Springer, (2012)Discovering the Compositional Structure of Vector Representations with Role Learning Networks., , , and . BlackboxNLP@EMNLP, page 238-254. Association for Computational Linguistics, (2020)A Method for Connectionist Variable Binding. CU-CS-356-87. Department of Computer Science and Institute of Cognitive Science, University of Colorado, Boulder, (1987)