Low Dimensional Topology of Information Fusion

Daniel Moskovich; Avishy Carmi

8th International Conference on Bio-inspired Information and Communications Technologies (formerly BIONETICS)

Research Article

Low Dimensional Topology of Information Fusion

Cite: BibTeX Plain Text

@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

Daniel Moskovich¹^,*, Avishy Carmi²

1: Nanyang Technological University
2: Ben Gurion University of the Negev

*Contact email: dmoskovich@gmail.com

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.

Keywords: information fusion information entropy adaptive sensor networks estimation theory covariance intersection fault tolerance reidemeister moves tangle diagrams

Published: 2015-02-02
Publisher: ICST
Appears in: ACM Digital Library

: http://dx.doi.org/10.4108/icst.bict.2014.258005