Complex Information: A Conceptual Extension of Classical Information Models for Human Decision Contexts
draft-mittermair-complex-information-00
| Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
|
|
|---|---|---|---|
| Author | Franz Mittermair | ||
| Last updated | 2026-07-22 (Latest revision 2026-01-18) | ||
| RFC stream | (None) | ||
| Intended RFC status | (None) | ||
| Formats | |||
| Stream | Stream state | (No stream defined) | |
| Consensus boilerplate | Unknown | ||
| RFC Editor Note | (None) | ||
| IESG | IESG state | Expired | |
| Telechat date | (None) | ||
| Responsible AD | (None) | ||
| Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
Classical information models have proven highly effective for the design and operation of machine-based communication and computation systems. These models intentionally abstract away meaning, interpretation, and human decision-making in order to achieve formal clarity and computability. This document describes a conceptual extension to classical information models, referred to as complex information, which represents information as consisting of two components: a real component, suitable for machine processing, and an imaginary component, representing human context, meaning, and non-computable decision factors. The proposed concept does not replace existing information theory, nor does it define new protocols or standards. Instead, it provides a descriptive framework for reasoning about information systems that interact with human decision processes, trust, and interpretation.
Authors
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)