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1
Computational models in the debate over language learnability
In: http://hal.archives-ouvertes.fr/docs/00/34/84/93/PDF/kaplan-oudeyer-bergen.pdf (2008)
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2
Computational models in the debate over language learnability
In: http://hal.inria.fr/docs/00/42/01/97/PDF/kaplan-oudeyer-bergen.pdf (2007)
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3
Computational models in the debate over language learnability. Infant and Child Development
In: http://hal.archives-ouvertes.fr/docs/00/34/84/94/PDF/kaplan-oudeyer-bergen.pdf (2007)
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4
The discovery of communication
In: http://www.cs.swarthmore.edu/~meeden/DevelopmentalRobotics/oudeyer06.pdf (2006)
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5
Discovering communication
In: http://cogprints.org/5149/1/ConnectionScience.pdf (2006)
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6
Discovering communication
In: http://www.pyoudeyer.com/ConnectionScience.pdf (2006)
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7
Discovering communication
In: http://proxy.siteo.com.s3.amazonaws.com/www.fkaplan.com/file/oudeyer-kaplan-cs06.pdf (2006)
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8
Collective learning and semiotic dynamics
In: http://www.csl.sony.fr/downloads/papers/1999/ecal99.pdf (1999)
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9
Collective Learning and Semiotic Dynamics
In: http://www.captage.com/kaplan/Me/./doc/ecal99.ps.gz (1999)
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10
Situated Grounded Word Semantics
In: http://www.captage.com/kaplan/Me/./doc/ijcai99.ps.gz (1999)
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11
Bootstrapping Grounded Word Semantics
In: http://arti.vub.ac.be/steels/ground.ps.gz (1999)
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12
A New Approach to Class Formation in Multi-Agent Simulations of Language Evolution
In: http://www.captage.com/kaplan/Me/./doc/icmas98.ps.gz (1998)
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13
Stochasticity as a Source of Innovation in Language Games
In: http://www.captage.com/kaplan/Me/./doc/alife98.ps.gz (1998)
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14
Spontaneous Lexicon Change
In: http://www.captage.com/kaplan/Me/./doc/acl98.ps.gz (1998)
Abstract: The paper argues that language change can be explained through the stochasticity observed in real-world natural language use. This thesis is demonstrated by modeling language use through language games played in an evolving population of agents. We show that the artificial languages which the agents spontaneously develop based on self-organisation, do not evolve even if the population is changing. Then we introduce stochasticity in language use and show that this leads to a constant innovation (new forms and new form-meaning associations) and a maintenance of variation in the population, if the agents are tolerant to variation. Some of these variations overtake existing linguistic conventions, particularly in changing populations, thus explaining lexicon change. 1 Introduction Natural language evolution takes place at all levels of language (McMahon, 1994). This is partly due to external factors such as language contact between different populations or the need to express new meaning.
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.35.2167
http://www.captage.com/kaplan/Me/./doc/acl98.ps.gz
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15
Spontaneous Lexicon Change
In: http://acl.ldc.upenn.edu/P/P98/P98-2203.pdf (1998)
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16
Distributed Awareness for Class Orchestration
In: http://infoscience.epfl.ch/record/139518/files/Distributed-Awareness-for-Class-Orchestration-camera-ready.pdf
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17
(www.interscience.wiley.com) DOI:10.1002/icd.544 Computational Models in the Debate Over Language Learnability
In: http://infoscience.epfl.ch/record/115464/files/kaplan_etal_icd2008.pdf
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18
Spontaneous Lexicon Change
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