Abstract
As the first link in the information chain, Information Acquisition has become one of the most important branches in information science and technology. A basic information acquisition process is a multi-layer one that consists of the material layer for signal transduction, the data layer for sensor data fusion and the perception layer for information abstraction. While the material layer can be described as a continuous channel in information transmission, the data layer is a multiple discrete channel in the communication system. To analyze the perception layer, the μ-space theory in high dimensional geometric topology and the Γ-space theory based on statistical mechanics are introduced. A general model of information acquisition, which explains the working principle of intelligent sensors with self-adaptive function, is established according to the acquisition process and bionic principle.
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