Distortion of Evaluation Across Boundaries
Abstract
When signals cross system boundaries, they do not retain their original evaluative meaning. This monograph defines Distortion of Evaluation Across Boundaries (DEAB) as the transformation of signal interpretation caused by differences in control structures, thresholds, and internal states between coupled systems.
We show that distortion is not noise or error. It is a structural consequence of coupling, where evaluation is reshaped by the receiving system’s configuration.
1. From Signal Integrity to Evaluation Distortion
Signal transmission:
- preserves structure
Evaluation:
- transforms meaning
A signal does not carry its meaning across systems. Meaning is reconstructed.
2. Defining Evaluation Distortion
Distortion of Evaluation Across Boundaries (DEAB) is defined as:
The alteration of signal interpretation resulting from differences in evaluation criteria, thresholds, and control structures between interacting systems.
Distortion affects:
- perceived relevance
- assigned weight
- resulting control action
3. Source of Distortion
Distortion arises because:
- systems do not share identical evaluation frameworks
- control memory differs
- normalization states vary
Each system:
- reconstructs meaning independently
4. Transformation During Evaluation
When a signal enters a system:
- it is filtered
- weighted
- contextualized
This process:
- modifies its effective meaning
Thus:
Input is constant. Interpretation is not.
5. Types of Distortion
5.1 Amplified Interpretation
Signal is:
- perceived as more significant
Effects:
- increased influence
- exaggerated response
5.2 Diminished Interpretation
Signal is:
- perceived as less significant
Effects:
- reduced influence
- weak response
5.3 Altered Interpretation
Signal is:
- reinterpreted differently
Effects:
- unexpected response
- misalignment
6. Role of Threshold Differences
Threshold variation:
- determines whether signals activate
Differences lead to:
- inconsistent activation across systems
This contributes to:
- distortion
7. Influence of Control Memory
Control memory:
- biases evaluation
Past configurations:
- shape current interpretation
Distortion accumulates:
- over time
8. Interaction With Interference
Multiple signals:
- interact during evaluation
Interference:
- amplifies distortion
- alters signal priority
9. Feedback Reinforcement of Distortion
Distorted interpretation:
- feeds back into the system
Feedback:
- reinforces altered evaluation
Over time:
- distortion stabilizes
10. Distortion Without Awareness
Systems:
- do not detect distortion
- experience interpretation as accurate
Distortion operates:
- implicitly
11. Substrate Independence
Evaluation distortion appears in:
- human cognition
- machine learning systems
- communication networks
- organizational systems
The invariant lies in:
- independent evaluation structures
12. Modeling Implications
Models must include:
- transformation of signals
- evaluation differences
- distortion accumulation
Ignoring distortion leads to:
- incorrect interpretation of interaction
13. Structural Consequence
Distortion transforms:
- shared signals → divergent meanings
Coupled systems:
- operate on different interpretations of the same input
14. Closing Statement
Signals do not carry meaning across systems unchanged.
They are reconstructed, reshaped, and reinterpreted based on the receiving system’s structure.
Distortion is not a flaw in interaction. It is a fundamental property of how systems evaluate across boundaries.