Publication: Multi-language communication protocol model based on conceptual spaces and language games
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2018
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en
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item.page.harrt.identifier.callno
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Journal of Thai Interdisciplinary Research
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13
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1
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33
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39
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Multi-language communication protocol model based on conceptual spaces and language games
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Abstract
Interacting artificial intelligent systems need to understand human language. This paper demonstrates how artificial systems can learn and communicate with each other in three different languages: Thai; Chinese; and English. In this work; we extend a conceptual model based on Language Games and Self- Organizing Map neural networks. In addition; the model proposed includes an important feature that is a dynamic radius for multi-languages communicative interactions between autonomous agents. We present that each innate agent has their own mother tongue or first language according to their parents’ nationality; primarily stores the primitive words in their own language list; and then maps it with other languages. Our proposed model shows the visualized simulation of the potential ways of a communication protocol during Language Games in which autonomous agents can learn and transfer knowledge of different languages between pairwise agents. Finally; the effectiveness of the communication protocol model is evaluated with the 100% success rate to indicate the co-occurrence of word and object convergence matching all three languages.