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https://doi.org/10.1145/301136...
Article . 1999 . Peer-reviewed
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Agent development with Jackal

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Apr 1999Publisher:ACMJournal:Proceedings of the third annual conference on Autonomous Agents
Authors: R. Scott Cost; Timothy W. Finin; Yannis Labrou; Xiaocheng Luan; Yun Peng 0001; Ian Soboroff; James Mayfield; +1 Authors

doi: 10.1145/301136.301233

Agent development with Jackal

Abstract

Jackal is a Java-based tool for communicating with the KQML agent communication language. Some features that make it extremely valuable to agent development are its conversation management facilities, flexible, blackboard style interface and ease of integration. Jackal has been developed in support of an investigation of the use of agents in enterprisewide integration of planning and execution for manufacturing.

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    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).
    		 9
    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.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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!
9
Average
Top 10%
Average