scholarly journals Communicating with sentences: A multi-word naming game model

2018 ◽  
Vol 490 ◽  
pp. 857-868 ◽  
Author(s):  
Yang Lou ◽  
Guanrong Chen ◽  
Jianwei Hu
Keyword(s):  
Author(s):  
Guanrong Chen ◽  
Yang Lou
Keyword(s):  

2016 ◽  
Vol 30 ◽  
pp. 171-192 ◽  
Author(s):  
Andrea Baronchelli

Social conventions govern countless behaviors all of us engage in every day, from how we greet each other to the languages we speak. But how can shared conventions emerge spontaneously in the absence of a central coordinating authority? The Naming Game model shows that networks of locally interacting individuals can spontaneously self-organize to produce global coordination. Here, we provide a gentle introduction to the main features of the model, from the dynamics observed in homogeneously mixing populations to the role played by more complex social networks, and to how slight modifications of the basic interaction rules give origin to a richer phenomenology in which more conventions can co-exist indefinitely.


2008 ◽  
Vol 19 (03) ◽  
pp. 399-407 ◽  
Author(s):  
ADAM LIPOWSKI ◽  
DOROTA LIPOWSKA

We examine an evolutionary naming-game model where communicating agents are equipped with an evolutionary selected learning ability. Such a coupling of biological and linguistic ingredients results in an abrupt transition: upon a small change of a model control parameter a poorly communicating group of linguistically unskilled agents transforms into almost perfectly communicating group with large learning abilities. When learning ability is kept fixed, the transition appears to be continuous. Genetic imprinting of the learning abilities proceeds via Baldwin effect: initially unskilled communicating agents learn a language and that creates a niche in which there is an evolutionary pressure for the increase of learning ability. Our model suggests that when linguistic (or cultural) processes became intensive enough, a transition took place where both linguistic performance and biological endowment of our species experienced an abrupt change that perhaps triggered the rapid expansion of human civilization.


2020 ◽  
Vol 8 ◽  
Author(s):  
Gionni Marchetti ◽  
Marco Patriarca ◽  
Els Heinsalu

2012 ◽  
Vol 71 (3) ◽  
pp. 141-148 ◽  
Author(s):  
Doriane Gras ◽  
Hubert Tardieu ◽  
Serge Nicolas

Predictive inferences are anticipations of what could happen next in the text we are reading. These inferences seem to be activated during reading, but a delay is necessary for their construction. To determine the length of this delay, we first used a classical word-naming task. In the second experiment, we used a Stroop-like task to verify that inference activation was not due to strategies applied during the naming task. The results show that predictive inferences are naturally activated during text reading, after approximately 1 s.


Author(s):  
Arnaud Rey ◽  
Muriele Brand-D'Abrescia ◽  
Ronald Peereman ◽  
Daniel H. Spieler ◽  
Pierre Courrieu
Keyword(s):  

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