Cognitive Information Measurements: A New Perspective
Min Chen, Yixue Hao, Hamid Gharavi, Victor C. M. Leung

TL;DR
This paper introduces the concept of cognitive information value and a measurement method that accounts for the dynamic, cognitive aspects of information during transmission, enhancing understanding of modern communication systems.
Contribution
It proposes a novel measurement approach for cognitive information, integrating cognitive computing with traditional communication models, and demonstrates its impact on 5G network performance.
Findings
Cognitive information value varies during transmission.
The new measurement improves understanding of information popularity.
Enhanced 5G network performance with cognitive information integration.
Abstract
From a traditional point of view, the value of information does not change during transmission. The Shannon information theory considers information transmission as a statistical phenomenon for measuring the communication channel capacity. However, in modern communication systems, information is spontaneously embedded with a cognitive link during the transmission process, which requires a new measurement that can incorporate continuously changing information value. In this paper, we introduce the concept of cognitive information value and a method of measuring such information. We first describe the characteristics of cognitive information followed by an introduction of the concept of cognitive information in measuring information popularity. The new measurement is based on the mailbox principle in the information value chain. This is achieved by encapsulating the information as a…
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Taxonomy
TopicsNeural Networks and Applications · Neural Networks and Reservoir Computing · Cognitive Science and Mapping
