Information-Time Structure Theory (ITST) is a receiver-only, information-theoretic framework for interpreting present-accessible signals by comparing:
- past-origin models, and
- future-constrained (boundary-conditioned) descriptions
of the same observation stream.
This project does not propose physical time travel, retrocausality, or communication from the future. It provides a structured method for evaluating when observed informational structure is more coherently described by future constraints than by past-only causality.
- A conceptual research framework grounded in information theory
- A model-comparison approach for temporal asymmetry in noisy time series
- A receiver-only interpretation of observed signals
- Not physical time travel
- Not retrocausal messaging
- Not proof of future-origin information
- Not an experimental claim
Given an observation stream:
x(t) = s(t) + n(t)
we compare two explanatory descriptions:
-
Past-origin model:
x(t) = s_past(t) + n(t) -
Future-constrained model:
x(t) = s_future(t) + n'(t)
(boundary-conditioned description)
The framework evaluates which description provides greater coherence under model-comparison criteria and temporal-asymmetry indicators.
-
/docs/
Static site (GitHub Pages root) -
/docs/theory/
Theoretical framework and definitions -
/docs/specs/
Hypothetical physical constraints and feasibility boundaries -
/docs/code/
Proof-of-concept code and computational demonstrations
temporal asymmetry, information theory, boundary conditions, model comparison, receiver-only framework, description length, hypothesis evaluation, information-based time machine (non-physical)
Author: A. Eis Calder
Preserved by: DIMProductions — Experimental Research Archive
This work is released under the Creative Commons Attribution 4.0 International License (CC BY 4.0).
See LICENSE for details.