A unified simulation scenario for language development, evolution, and historical change
Simulating the evolution of language
Natural language from artificial life
Artificial Life
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Artificial Life
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GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
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Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
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Computers & Mathematics with Applications
Emergence of Communication in Foraging Behavior
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
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ACAL '09 Proceedings of the 4th Australian Conference on Artificial Life: Borrowing from Biology
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IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
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CIRA'09 Proceedings of the 8th IEEE international conference on Computational intelligence in robotics and automation
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JSAI'03/JSAI04 Proceedings of the 2003 and 2004 international conference on New frontiers in artificial intelligence
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Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
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This paper describes different types of models for the evolution of communication and language. It uses the distinction between signals, symbols, and words for the analysis of evolutionary models of language. In particular, it shows how evolutionary computation techniques such as artificial life can be used to study the emergence of syntax and symbols from simple communication signals. Initially, a computational model that evolves repertoires of isolated signal is presented. This study has simulated the emergence of signals for naming foods in a population of foragers. This type of model studies communication systems based on simple signal-object associations. Subsequently, models that study the emergence of grounded symbols are discussed in general, including a detailed description of a work on the evolution of simple syntactic rules. This model focuses on the emergence of symbol-symbol relationships in evolved languages. Finally, computational models of syntax acquisition and evolution are discussed. These different types of computational models provide an operational definition of the signal/symbol/word distinction. The simulation and analysis of these types of models will help to understand the role of symbols and symbol acquisition in the origin of language