This conceptual framework explores how time arises from informational state transitions in systems, suggesting deep connections among various fields.
This paper proposes Temporal Informatics, a conceptual framework in which time emerges from informational state transitions within physical systems. Rather than treating time as a fundamental background parameter, the framework models temporal order as arising from changes in informational configurations that drive entropy production and irreversible computation. The work connects thermodynamics, information theory, and neuroscience by proposing that temporal perception, the thermodynamic arrow of time, and computational processes may share a common informational foundation. Conceptual figures and experimental proposals illustrate how informational change may anchor both physical and subjective time.
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DeWight Rutherford (2026) studied this question.
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