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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/114267...
Part of book or chapter of book . 2005 . Peer-reviewed
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DBLP
Conference object . 2017
Data sources: DBLP
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Agents as Catalysts for Mobile Computing

Authors: Gregory M. P. O'Hare; Michael J. O'Grady; Rem W. Collier; Stephen Keegan;

Agents as Catalysts for Mobile Computing

Abstract

Agent-Oriented Programming (AOP) offers an alternative and radical approach to the development of information systems in various domains. However, one domain that AOP has only minimally affected, at least up until now, is that of mobile computing. Until recently, the use of strong intentional agents in such a domain has been considered impractical and, indeed, computationally intractable. In this paper, Agent Factory, a system for the fabrication of strong intelligent agents, is reviewed in the light of agent deployment on mobile devices. As an illustration of the potential of agents in mobile applications, two archetypical mobile computing applications, realised through Agent Factory, are described.

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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!
1
Average
Average
Average
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