This article introduces a neural architecture which is capable of learning to use language in accordance with desires and to understand the intentions expressed by utterances of other people. We explain the architecture and describe simulation experiments we carried out in multi-agent game environments. We then discuss how compositionality is accomplished in our system. Finally, we relate the components of our architecture with the real brain by pointing out functional imaging and other experiments in which subjects had to carry out tasks related to the capabilities of our model.
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