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The Emergence of a 'Language' in an Evolving Population of Neural Networks

 

作者: ANGELO CANGELOSI,   DOMENICO PARISI,  

 

期刊: Connection Science  (Taylor Available online 1998)
卷期: Volume 10, issue 2  

页码: 83-97

 

ISSN:0954-0091

 

年代: 1998

 

DOI:10.1080/095400998116512

 

出版商: Taylor & Francis Group

 

关键词: Language Evolution;Genetic Algorithm;Artificial Life;Symbol Grounding

 

数据来源: Taylor

 

摘要:

The evolution of language implies the parallel evolution of an ability to respond appropriately to signals (language understanding) and an ability to produce the appropriate signals in the appropriate circumstances (language production). When linguistic signals are produced to inform other individuals, individuals that respond appropriately to these signals may increase their reproductive chances but it is less clear what the reproductive advantage is for the language producers. We present simulations in which populations of neural networks living in an environment evolve a simple language with an informative function. Signals are produced to help other individuals categorize edible and poisonous mushrooms, in order to decide whether to approach or avoid encountered mushrooms. Language production, while not under direct evolutionary pressure, evolves as a byproduct of the independently evolving perceptual ability to categorize mushrooms.

 

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