Growing artificial societies: social science from the bottom up
Growing artificial societies: social science from the bottom up
Situated grounded word semantics
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
The emergence of compositional structures in perceptually grounded language games
Artificial Intelligence - Special volume on connecting language to the world
Perceptually grounded lexicon formation using inconsistent knowledge
ECAL'05 Proceedings of the 8th European conference on Advances in Artificial Life
Cross-situational learning: a mathematical approach
EELC'06 Proceedings of the Third international conference on Emergence and Evolution of Linguistic Communication: symbol Grounding and Beyond
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
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In this paper we introduce a model for the simulation of language evolution, which is incorporated in the New Ties project. The New Ties project aims at evolving a cultural society by integrating evolutionary, individual and social learning in large scale multi-agent simulations. The model presented here introduces a novel implementation of language games, which allows agents to communicate in a more natural way than with most other existing implementations of language games. In particular, we propose a hybrid mechanism that combines cross-situational learning techniques with more informed feedback mechanisms. In our study we focus our attention on dealing with referential indeterminacy after joint attention has been established and on whether the current model can deal with larger populations than previous studies involving cross-situational learning. Simulations show that the proposed model can indeed lead to coherent languages in a quasi realistic world environment with larger populations.