%0 Conference Proceedings
%T Brain-Machine Collaboration for Cyborg Intelligence
%+ Chinese Academy of Sciences [Changchun Branch] (CAS)
%+ University of Chinese Academy of Sciences [Beijing] (UCAS)
%A Shi, Zhongzhi
%A Ma, Gang
%A Wang, Shu
%A Li, Jianqing
%Z Part 7: Brain-Machine Collaboration
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 9th International Conference on Intelligent Information Processing (IIP)
%C Melbourne, VIC, Australia
%3 Intelligent Information Processing VIII
%V AICT-486
%P 256-266
%8 2016-11-18
%D 2016
%R 10.1007/978-3-319-48390-0_26
%K Cyborg intelligence
%K Brain-machine collaboration
%K Motivation driven collaboration
%K Motivation learning
%K Mind model CAM
%Z Computer Science [cs]Conference papers
%X Cyborg intelligence integrates the best of both machine and biological intelligences via brain-machine integration. To make this integration effective and co-adaptive biological brain and machine should work collaboratively. Both environment awareness based collaboration and motivation based 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-01615002/document
%2 https://inria.hal.science/hal-01615002/file/433802_1_En_26_Chapter.pdf
%L hal-01615002
%U https://inria.hal.science/hal-01615002
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC12
%~ IFIP-IIP
%~ IFIP-AICT-486