2018
DOI: 10.1016/j.bica.2018.07.005
|View full text |Cite
|
Sign up to set email alerts
|

Shifting and drifting attention while reading: A case study of nonlinear-dynamical attention allocation in the OpenCog cognitive architecture

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(3 citation statements)
references
References 6 publications
0
3
0
Order By: Relevance
“…The comments were collected through an automatic software. 1 Due to the high content volume, the comment analysis was performed with quantitative methods largely using automatic tools, based on machine learning algorithms (indicated with a black label in Fig. 2), and to a lesser extent using a not automatic content analysis (gray label).…”
Section: Content Analysismentioning
confidence: 99%
See 2 more Smart Citations
“…The comments were collected through an automatic software. 1 Due to the high content volume, the comment analysis was performed with quantitative methods largely using automatic tools, based on machine learning algorithms (indicated with a black label in Fig. 2), and to a lesser extent using a not automatic content analysis (gray label).…”
Section: Content Analysismentioning
confidence: 99%
“…Sophia's software has been programmed to show pre-coded behaviors, including pre-written responses to specific questions or phrases, like a chatbot [18,23]. Her capacity to answer appropriately is used to create the illusion that she is conversing as a human would, thanks to the software components which recognize and mirror a human's facial expressions and vocal quality [1,18]. The information is shared in a cloud network allowing input and responses to be analyzed with blockchain technology [39].…”
Section: The Visual Rhetoric Of Sophiamentioning
confidence: 99%
See 1 more Smart Citation