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iNet: an extensible framework for simulating immune network

Authors: Junichi Suzuki; Yoshikazu Yamamoto;

iNet: an extensible framework for simulating immune network

Abstract

The natural immune system is a subject of great research interest because it provides powerful and flexible information processing capabilities as a complex adaptive system. This paper describes our extensible framework, named iNet, for building artificial immune systems, particularly artificial immune networks, which has been used in several of our projects developing biologically-inspired intelligent applications. We describe the iNet architecture, its design principles and features, highlighting its versatility and component reusability. We also describe an autonomous decentralized network application built with iNet as a sample use case for showing how to use it.

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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!
3
Average
Average
Average
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