Brain-Machine Collaboration for Cyborg Intelligence

Abstract : 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.
Document type :
Conference papers
Liste complète des métadonnées

Cited literature [14 references]  Display  Hide  Download

https://hal.inria.fr/hal-01615002
Contributor : Hal Ifip <>
Submitted on : Wednesday, October 11, 2017 - 4:58:20 PM
Last modification on : Friday, April 12, 2019 - 11:32:01 AM
Document(s) archivé(s) le : Friday, January 12, 2018 - 3:40:33 PM

File

433802_1_En_26_Chapter.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Zhongzhi Shi, Gang Ma, Shu Wang, Jianqing Li. Brain-Machine Collaboration for Cyborg Intelligence. 9th International Conference on Intelligent Information Processing (IIP), Nov 2016, Melbourne, VIC, Australia. pp.256-266, ⟨10.1007/978-3-319-48390-0_26⟩. ⟨hal-01615002⟩

Share

Metrics

Record views

65

Files downloads

127