Information Mechanics
Kiyam Lin, SongLing Lin

TL;DR
This paper proposes a foundational theory of information as a state variable, exploring its relationship with work, entropy, and systems, challenging traditional views and suggesting information is an intrinsic property of the universe.
Contribution
It introduces a new theoretical framework defining information as a state variable, distinct from entropy, and links it to physical work and system properties.
Findings
Information is a state variable like entropy.
Information can be positive or negative, unlike entropy.
The amount of work a system can do relates to available information.
Abstract
Despite the wide usage of information as a concept in science, we have yet to develop a clear & concise scientific definition. This paper is aimed at laying the foundations for a new theory concerning the mechanics of information alongside its intimate relationship with working processes. Principally it aims to provide a better understanding of what information is. We find that like entropy, information is also a state variable, and both their values are surprisingly contextual. Conversely, contrary to popular belief, we find that information is not negative entropy. However, unlike entropy, information can be both positive and negative. We further find that it is possible to consider a communications process as a working process and that Shannon's entropy is only applicable to the modelling of statistical distributions. In extension, it appears that information could exist within any…
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Taxonomy
TopicsComputability, Logic, AI Algorithms
