CNLS '89 Proceedings of the ninth annual international conference of the Center for Nonlinear Studies on Self-organizing, Collective, and Cooperative Phenomena in Natural and Artificial Computing Networks on Emergent computation
A self-organizing spatial vocabulary
Artificial Life
Neural Computation
Neural Networks: A Comprehensive Foundation
Neural Networks: A Comprehensive Foundation
The emergence of linguistic structure: an overview of the iterated learning model
Simulating the evolution of language
Iterated learning: a framework for the emergence of language
Artificial Life
Compositional Syntax From Cultural Transmission
Artificial Life
The emergence of compositional structures in perceptually grounded language games
Artificial Intelligence - Special volume on connecting language to the world
Robust Formulations for Training Multilayer Perceptrons
Neural Computation
A Praxical Solution of the Symbol Grounding Problem
Minds and Machines
Cumulative cultural evolution: can we ever learn more?
SAB'06 Proceedings of the 9th international conference on From Animals to Animats: simulation of Adaptive Behavior
Symbol grounding through cumulative learning
EELC'06 Proceedings of the Third international conference on Emergence and Evolution of Linguistic Communication: symbol Grounding and Beyond
IEEE Transactions on Evolutionary Computation
The physical symbol grounding problem
Cognitive Systems Research
| Hi-index | 0.00 |
The iterated classification game (ICG) combines the classification game with the iterated learning model (ILM) to create a more realistic model of the cultural transmission of language through generations. It includes both learning from parents and learning from peers. Further, it eliminates some of the chief criticisms of the ILM: that it does not study grounded languages, that it does not include peer learning, and that it builds in a bias for compositional languages. We show that, over the span of a few generations, a stable linguistic system emerges that can be acquired very quickly by each generation, is compositional, and helps the agents to solve the classification problem with which they are faced. The ICG also leads to a different interpretation of the language acquisition process. It suggests that the role of parents is to initialize the linguistic system of the child in such a way that subsequent interaction with peers results in rapid convergence to the correct language.