Research Article
Low Dimensional Topology of Information Fusion
@INPROCEEDINGS{10.4108/icst.bict.2014.258005, author={Daniel Moskovich and Avishy Carmi}, title={Low Dimensional Topology of Information Fusion}, proceedings={8th International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)}, publisher={ICST}, proceedings_a={BICT}, year={2015}, month={2}, keywords={information fusion information entropy adaptive sensor networks estimation theory covariance intersection fault tolerance reidemeister moves tangle diagrams}, doi={10.4108/icst.bict.2014.258005} }- Daniel Moskovich
Avishy Carmi
Year: 2015
Low Dimensional Topology of Information Fusion
BICT
ACM
DOI: 10.4108/icst.bict.2014.258005
Abstract
We provide an axiomatic characterization of information fusion, on the basis of which we define an "information fusion network". Our construction is reminiscent of tangle diagrams in low dimensional topology. Information fusion networks come equipped with a natural notion of "equivalence". Equivalent networks `contain the same information', but differ locally. When fusing streams of information, an information fusion network may adaptively optimize itself inside its equivalence class. This provides a fault tolerance mechanism for such networks.
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