%0 Conference Proceedings
%T Collaborative Model in Brain-Computer Integration
%+ Chinese Academy of Sciences [Changchun Branch] (CAS)
%+ University of Chinese Academy of Sciences [Beijing] (UCAS)
%+ Shandong University
%A Shi, Zhongzhi
%A Ma, Gang
%A Li, Jianqing
%Z Part 1: Theory of Intelligence Science
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 2nd International Conference on Intelligence Science (ICIS)
%C Shanghai, China
%Y Zhongzhi Shi
%Y Ben Goertzel
%Y Jiali Feng
%I Springer International Publishing
%3 Intelligence Science I
%V AICT-510
%P 10-21
%8 2017-10-25
%D 2017
%R 10.1007/978-3-319-68121-4_2
%K Brain-computer integration
%K Environment awareness
%K ABGP-CNN model
%K Motivation driven collaboration
%K Motivation learning
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%Z TC 12
%2 https://inria.hal.science/hal-01820938/document
%2 https://inria.hal.science/hal-01820938/file/978-3-319-68121-4_2_Chapter.pdf
%L hal-01820938
%U https://inria.hal.science/hal-01820938
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC12
%~ IFIP-AICT-510
%~ IFIP-ICIS