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.
9th International Conference on Intelligent Information Processing (IIP), Nov 2016, Melbourne, VIC, Australia. IFIP Advances in Information and Communication Technology, AICT-486, pp.256-266, 2016, Intelligent Information Processing VIII. 〈10.1007/978-3-319-48390-0_26〉
https://hal.inria.fr/hal-01615002
Contributeur : Hal Ifip
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Soumis le : mercredi 11 octobre 2017 - 16:58:20
Dernière modification le : vendredi 3 novembre 2017 - 22:24:06
Document(s) archivé(s) le : vendredi 12 janvier 2018 - 15:40:33
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. IFIP Advances in Information and Communication Technology, AICT-486, pp.256-266, 2016, Intelligent Information Processing VIII. 〈10.1007/978-3-319-48390-0_26〉. 〈hal-01615002〉
