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1
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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2
The Origins of Ontologies and Communication Conventions in Multi-Agent Systems
In: http://www.unisa.it/gisolfi.dir/VIM/./PAPERS/steels.ps.gz (1997)
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3
Synthesising the Origins of Language and Meaning Using Co-Evolution, Self-Organisation and Level Formation.
In: http://arti.vub.ac.be/www/steels/edin.ps (1997)
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4
Emergent Adaptive Lexicons
In: http://arti.vub.ac.be/www/steels/adaptlex.ps (1996)
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5
The Spontaneous Self-organization of an Adaptive Language.
In: http://arti.vub.ac.be/www/steels/mi15.ps (1996)
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6
The Recruitment Theory of Language Origins
In: http://www.csl.sony.fr/downloads/papers/2007/steels-07d.pdf
Abstract: The recruitment theory of language origins argues that language users recruit and try out different strategies for solving the task of communication and retain those that maximise communicative success and cognitive economy. Each strategy requires specific cognitive neural mechanisms, which in themselves serve a wide range of purposes and therefore may have evolved or could be learned independently of language. The application of a strategy has an impact on the properties of the emergent language and this fixates the use of the strategy in the population. Although neurological evidence can be used to show that certain cognitive neural mechanisms are common to linguistic and non-linguistic tasks, this only shows that recruitment has happened, not why. To show the latter, we need models demonstrating that the recruitment of a particular strategy and hence the mechanisms to carry out this strategy lead to a better communication system. This paper gives concrete examples how such models can be built and shows the kinds of results that can be expected from them.
Keyword: language evolution; language games; Language origins; recruitment
URL: http://www.csl.sony.fr/downloads/papers/2007/steels-07d.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.140.9369
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