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DBLP
Article . 2019
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Human-agent collectives

Authors: Nicholas R. Jennings; Luc Moreau 0001; David Nicholson; Sarvapali D. Ramchurn; Stephen J. Roberts; Tom Rodden; Alex Rogers;

Human-agent collectives

Abstract

HACs offer a new science for exploring the computational and human aspects of society.

Country
United Kingdom
Related Organizations
Keywords

Technology, 08 Information And Computing Sciences, 791, Science & Technology, Theory & Methods, Software Engineering, Hardware & Architecture, Computer Science, Software Engineering, Computer Science, Theory & Methods, SYSTEMS, Computer Science, ALGORITHM, Computer Science, Hardware & Architecture, PROVENANCE, Information Systems

  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    115
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 1%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 1%
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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
115
Top 1%
Top 1%
Top 1%
Green
bronze