How Nouns and Verbs Differentially Affect the Behavior of Artificial Organisms

Angelo Cangelosi · Domenico Parisi

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Language and cultural evolution Syntax, Semantics, Linguistic Variation Evolutionary Algorithms and Applications

Abstract

This paper presents an Artificial Life and Neural Network (ALNN) model for the evolution of syntax.The simulation methodology provides a unifying approach for the study of the evolution of language and its interaction with other behavioral and neural factors.The model uses an object manipulation task to simulate the evolution of language based on a simple verb-noun rule.The analyses of results focus on the interaction between language and other non-linguistic abilities, and on the neural control of linguistic abilities.The model shows that the beneficial effects of language on non-linguistic behavior are explained by the emergence of distinct internal representation patterns for the processing of verbs and nouns.

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References

1998Language within our grasp 1997The symbolic species: the co-evolution of language and the brain 2002Simulating the Evolution of Language 1997The Synthetic Modeling of Language Origins 1997Grounding adaptive language games in robotic agents.1998The Emergence of a 'Language' in an Evolving Population of Neural Networks 2001The adaptive advantage of symbolic theft over sensorimotor toil 2001Evolution of communication and language using signals, symbols, and words

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