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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/107032...
Part of book or chapter of book . 1999 . Peer-reviewed
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DBLP
Conference object . 2017
Data sources: DBLP
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Competing Software Agents Support Human Agents

Authors: Sabine Geldof; Walter Van de Velde;

Competing Software Agents Support Human Agents

Abstract

A community of interacting software agents can support an activity of human agents. We describe an experiment based on an existing information server showing how software agents compete for the attention of the user with the intention to support her in an information-rich task through providing her some useful comment. To be successful in the competition, agents have to capture contextual parameters about the current activity of the user and render them in a context-sensitive annotation to information. The outcome of the competition for attention consists of a weighted topic structure, annotated with text templates. The annotated topic structure is the basis for generating a context-sensitive navigation node by a process of template expansion and aggregation.

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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!
0
Average
Average
Average
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