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Emergent information. Towards a unified information theory
1Institut für Gestaltungs-und Wirkungsforschung, Technische Universität Wien, Austria.
Bio Systems
|January 1, 1996
Summary
This study restores information theory using evolutionary systems philosophy. It introduces a multi-stage information model for real-world systems, aiding future information science research.
Area of Science:
- Information Science
- Philosophy of Science
- Systems Theory
Background:
- Traditional information theory lacks a robust framework for real-world system dynamics.
- Existing models often overlook the historical and evolutionary aspects of information processing.
Purpose of the Study:
- To restore and expand information theory through a philosophy of evolutionary systems.
- To propose a unifying, multi-stage model for understanding information.
- To provide a foundation for future research in information science.
Main Methods:
- Philosophical analysis of evolutionary systems.
- Development of a multi-stage model for information conception.
- Integration of historical and ordering aspects of information processing.
Main Results:
- A proposed restoration of information theory grounded in evolutionary systems.
- Introduction of a multi-stage information model.
- A framework for understanding information processing in real-world systems.
Conclusions:
- The proposed philosophy offers a novel perspective on information theory.
- The multi-stage model provides a more comprehensive view of information.
- This approach is expected to benefit the emerging field of information science.