Stochasticity as a source of innovation in language games
ALIFE Proceedings of the sixth international conference on Artificial life
Babel: a testbed for research in origins of language
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
The origins of syntax in visually grounded robotic agents
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
Effective Lexicon Change in the Absence of Population Flux
ECAL '99 Proceedings of the 5th European Conference on Advances in Artificial Life
Emergence of Speech Sounds in Changing Population
ECAL '99 Proceedings of the 5th European Conference on Advances in Artificial Life
Optimizing the mutual intelligibility of linguistic agents in a shared world
Artificial Intelligence
Investigating the emergence of speech sounds
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Situated grounded word semantics
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
A cross-situational algorithm for learning a lexicon using neural modeling fields
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Design principles for embodied interaction: the case of ubiquitous computing
KI'09 Proceedings of the 32nd annual German conference on Advances in artificial intelligence
Combining different interaction strategies reduces uncertainty when bootstrapping a lexicon
ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part I
| Hi-index | 0.00 |
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.