| 2006 | - | Semiotic Dynamics for Embodied Agents - Steels |
:: | 1 |
| | 5. J. Elman, "Distributed Representations, Simple Recurrent Networks, and Grammatical Structure," Machine Learning, vol. 7, nos. 2-3, 1991, pp. 195-226.
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| 2005 | - | The Major Transitions in the Evolution of Language - Zuidema |
:: | 1 |
| | ELMAN, J. L. (1991). Distributed representations, simple recurrent networks, and grammatical structure. Machine Learning 7, 195--225.
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| 2005 | - | Modelling language development and evolution with the benefit of hindsight - Velde |
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| | J.L. Elman, "Distributed representations, simple recurrent networks, and grammatical structure", Machine Learn., 7, pp. 195-225, 1991.
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| 2005 | - | The emergence and evolution of linguistic structure: from lexical to grammatical communication systems - Steels |
:: | 7 |
| | [18] Elman, J. (1991) Distributed representations, simple recurrent networks, and grammatical structure. Machine Learning, 7(2/3):195--226, 1991.
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| 2005 | - | Entropy Indicators for Investigating Early Language Processes - Lyon,Nehaniv,Dickerson |
:: | |
| | J L Elman. Distributed representations, simple recurrent networks and grammatical structure. Machine Learning, pages 195--223, 1991.
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| 2002 | - | Methodological Issues in Simulating the Emergence of Language - Tonkes,Wiles |
:: | 7 |
| | Elman, J. L. (1991). Distributed representations, simple recurrent networks and grammatical structure, Machine Learning 7: 195-224.
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| 2001 | - | On the Origins of Linguistic Structure: Computational models of the evolution of language - Tonkes |
:: | 5 |
| | Elman, J. L. (1991). Distributed representations, simple recurrent networks and grammatical structure. Machine Learning, 7:195-224.
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| 2001 | - | Sequential learning in non-human primates - Conway,Christiansen |
:: | 6 |
| | g Elman, J.L. (1991) Distributed representation, simple recurrent networks, and grammatical structure. Machine Learn. 7, 195--225
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| 2000 | - | Evolution of syntax in groups of agents - Zuidema |
:: | 4 |
| | ELMAN, J. L. (1991). Distributed representations, simple recurrent networks, and grammatical structure. Machine Learning 7, 195--225.
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| 1999 | - | Disambiguation and Grammar as Emergent Soft Constraints - Miikkulainen,Mayberry |
:: | |
| | Elman, J. L. (1991). Distributed representations, simple recurrent networks, and grammatical structure. Machine Learning, 7:195--225.
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| 1999 | - | Toward a connectionist model of recursion in human linguistic performance - Christiansen,Chater |
:: | 13 |
| | Elman, J.L. (1991). Distributed representation, simple recurrent networks, and grammatical structure. Machine Learning, 7, 195--225.
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| 1998 | - | A paradox of neural encoders and decoders, or, why don't we talk backwards? - Tonkes,Blair,Wiles |
:: | 3 |
| | 3. J. Elman. Distributed representations, simple recurrent networks and grammatical structure. Machine Learning, 7:195--224, 1991.
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| 1998 | - | Getting the Point Across: The Effect of Recurrent Network Biases on the Evolution of a Simple Language - Tonkes |
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| | Elman, J. (1991). Distributed representations, simple recurrent networks and grammatical structure. Machine Learning, 7:195-224.
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| 1997 | - | Recursive inconsistencies are hard to learn: A connectionist perspective on universal word order correlations - Christiansen,Devlin |
:: | 15 |
| | Elman, J.L. (1991). Distributed Representation, Simple Recurrent Networks, and Grammatical Structure. Machine Learning, 7, 195--225.
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| 1995 | - | Language as a dynamical system - Elman |
:: | 4 |
| | Elman, J.L. (1991b). Distributed representations, simple recurrent networks, and grammatical structure. Machine Learning, 7, 195-225.
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| 1994 | - | Infinite Languages, Finite Minds: Connectionism, Learning and Linguistic Structure - Christiansen |
:: | 22 |
| | Elman, J. L. (1991a) Distributed Representation, Simple Recurrent Networks, and Grammatical Structure. Machine Learning, 7, 195--225.
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| 1994 | - | Innate biases and critical periods: Combining evolution and learning in the acquisition of syntax - Batali |
:: | 43 |
| | Elman, J. L. (1990b). Distributed representation, simple recurrent networks, and grammatical structure. Machine Learning, 7, pp. 195--225.
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| 1993 | - | Learning and development in neural networks: The importance of starting small - Elman |
:: | 30 |
| | Elman, J.L. (1991). Distributed representations, simple recurrent networks, and grammatical structure. Machine Learning, 7:195-225.
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