
This paper proposes a structural framework for analysing informational behaviour independent of specific physical, computational, or cognitive implementations. Information is defined as a volatile structured construct instantiated on a carrier and rendered under internal condition sets. The framework introduces the Law of Informational Constancy, dimensional collapse and expansion, the Infinite Complexity Barrier, abstraction as a key-based recovery mechanism, and informational superposition as bounded multiplicity under incomplete constraint. Six quantitative measures and seven structural properties of informational behaviour are defined. The framework is complementary to Shannon’s information theory (1948), addressing the structural layer intentionally left outside the scope of Shannon’s transmission-focused model.
Probability structures, Information Theory, Computational physics, Informational mathematics, Informational behaviour
Probability structures, Information Theory, Computational physics, Informational mathematics, Informational behaviour
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