Abstract
In this position paper we discuss how language influences the mind by comparing robots that have language with robots that do not have language. Robots with language respond more adaptively to objects belonging to different categories and requiring different behaviors compared to robots without language, and it is possible to show that categories of objects are represented differently in the neural network which controls the behavior of the two types of robots. By exposing the robots to sounds which co-vary systematically with specific aspects of their experience, the robots can distinguish nouns from verbs and can respond appropriately to simple noun–verb sentences. Robots can also be used to show that, while all animals develop a mental (neural) model of their environment which incorporates the co-variations among different aspects of their experiences, human beings develop a more analytical and modular model because specific sounds co-vary with different aspects of their experiences — and this may explain why human beings have a more articulated and creative behavioral repertoire.
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