Collaborative Model in Brain-Computer Integration - Intelligence Science I (ICIS 2017)
Conference Papers Year : 2017

Collaborative Model in Brain-Computer Integration

Abstract

Brain-computer integration is a new intelligent system based on brain-computer interface technology, which is integrated with biological intelligence and artificial intelligence. In order to make this integration effective and co-adaptive biological brain and machine should work collaboratively. ABGP-CNN based environment awareness and motivation driven collaboration will be presented in the paper. Motivation is the cause of action and plays important roles in collaboration. The motivation leaning method and algorithm will be explored in terms of event curiosity, which is useful for sharing common interest situations.
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hal-01820938 , version 1 (22-06-2018)

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Zhongzhi Shi, Gang Ma, Jianqing Li. Collaborative Model in Brain-Computer Integration. 2nd International Conference on Intelligence Science (ICIS), Oct 2017, Shanghai, China. pp.10-21, ⟨10.1007/978-3-319-68121-4_2⟩. ⟨hal-01820938⟩
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