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Trusted Autonomy and Cognitive Cyber Symbiosis: Open Challenges

Overview of attention for article published in Cognitive Computation, December 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#1 of 296)
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
5 news outlets
blogs
1 blog
twitter
1 tweeter

Readers on

mendeley
26 Mendeley
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Title
Trusted Autonomy and Cognitive Cyber Symbiosis: Open Challenges
Published in
Cognitive Computation, December 2015
DOI 10.1007/s12559-015-9365-5
Pubmed ID
Authors

Hussein A. Abbass, Eleni Petraki, Kathryn Merrick, John Harvey, Michael Barlow, Abbass, Hussein A, Petraki, Eleni, Merrick, Kathryn, Harvey, John, Barlow, Michael

Abstract

This paper considers two emerging interdisciplinary, but related topics that are likely to create tipping points in advancing the engineering and science areas. Trusted Autonomy (TA) is a field of research that focuses on understanding and designing the interaction space between two entities each of which exhibits a level of autonomy. These entities can be humans, machines, or a mix of the two. Cognitive Cyber Symbiosis (CoCyS) is a cloud that uses humans and machines for decision-making. In CoCyS, human-machine teams are viewed as a network with each node comprising humans (as computational machines) or computers. CoCyS focuses on the architecture and interface of a Trusted Autonomous System. This paper examines these two concepts and seeks to remove ambiguity by introducing formal definitions for these concepts. It then discusses open challenges for TA and CoCyS, that is, whether a team made of humans and machines can work in fluid, seamless harmony.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 4%
Unknown 25 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 38%
Researcher 7 27%
Lecturer > Senior Lecturer 2 8%
Student > Bachelor 2 8%
Student > Master 2 8%
Other 3 12%
Readers by discipline Count As %
Computer Science 13 50%
Psychology 5 19%
Business, Management and Accounting 2 8%
Engineering 2 8%
Arts and Humanities 1 4%
Other 3 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 45. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 02 November 2017.
All research outputs
#231,356
of 8,713,319 outputs
Outputs from Cognitive Computation
#1
of 296 outputs
Outputs of similar age
#13,882
of 339,808 outputs
Outputs of similar age from Cognitive Computation
#1
of 22 outputs
Altmetric has tracked 8,713,319 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 296 research outputs from this source. They receive a mean Attention Score of 1.1. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 339,808 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.