Strategic information synthesis by globular knowledge fusion

Warren, Lewis

doi:10.1109/idc.1999.754192

Cited by 4 publications

(2 citation statements)

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“…From the asymptotic expression in (29), we deduce that the codeword length monotonically decreases (increases) by an increase in the occurrence probability, the number of transmissions, or both when p…”

Section: ) Dependency On Occurrence Probability and Transmission Roundsmentioning

confidence: 97%

“…In general, the meta-value of each packet results from knowledge fusion or aggregation of A intrinsic and B extrinsic features. To overcome the limitations of aggregation functions in the form of weighted sums, we resort to knowledge fusion [29], which takes into account possible interdependence between different features/criteria and provides commensurate scales representing the attributes using the Choquet integral [30]. Specifically, using the discrete Choquet integral, a general metavalue formula at one arrival interval for the i-th realization of the k-th SSM connected to the m-th MM is given by as the weight of the b-th subset of extrinsic features is given by…”

Section: ) Meta-value Assignmentmentioning

confidence: 99%

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Semantic Source Coding for Two Users with Heterogeneous Goals

Agheli¹,

pappas²,

Kountouris³

2022

Preprint

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We study a multiuser system in which an information source provides status updates to two monitors with heterogeneous goals. Semantic filtering is first performed to select the most useful realizations for each monitor. Packets are then encoded and sent so that each monitor can timely fulfill its goal. In this regard, some realizations are important for both monitors, while every other realization is informative for only one monitor. We determine the optimal real codeword lengths assigned to the selected packet arrivals in the sense of maximizing a weighted sum of semantics-aware utility functions for the monitors. Our analytical and numerical results provide the optimal design parameters for different arrival rates and highlight the improvement in timely status update delivery using semantic filtering and source coding.

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Section: ) Dependency On Occurrence Probability and Transmission Roundsmentioning

confidence: 97%

Section: ) Meta-value Assignmentmentioning

confidence: 99%