Information-energy metasystem model
Abstract
Purpose
The human system is developing into a global biocultural superorganism. However, in the process of aligning a stable global goal state, contemporary human control systems appear to be inadequate structures. The purpose of this paper is to help humanity contextualize the nature of our highest control systems and guide future structural control system decisions, by proposing the application of an Information-Energy Metasystem Model (IEMM).
Design/methodology/approach
IEMM is an evolutionary-cybernetic model built with biological, anthropological, and historical data, and constructed utilizing two cybernetic theories: metasystem transition theory and control information theory (CIT). The IEMM suggests that major control transitions are dependent on specific information-energy control and feedback properties.
Findings
Throughout our evolutionary history humans have stabilized three distinct metasystems in the general organization of bands/tribes stabilized by language-hunting feedback, chiefdoms/kingdoms stabilized by writing-agricultural feedback, and nation-states stabilized by printing press-industrial feedback. In the future, IEMM predicts that new global (or “glocal”) controls based on the internet as an information medium, and renewable energy as an engine for stabilization, could potentially generate a fourth metasystem. However, this is largely dependent on our own ability and willingness for fundamental structural control innovation.
Originality/value
This is the first paper to analyze the contemporary control system structure within the context of the whole of human evolution.
Keywords
Acknowledgements
The author would like to thank Francis Heylighen and members of the Evolution, Cognition, and Complexity (ECCO) department at the Vrije Universiteit Brussel (VUB) for their thoughts, comments, and feedback during meetings and a public presentation. The author would also like to thank the American Society for Cybernetics (ASC) for their thoughtful feedback at the Living in Cybernetics conference in Washington, DC (2014). Finally, the author would like to thank the Global Brain Institute for conference funding, as well as funding during the research process of this theoretical works.
Citation
Last, C. (2015), "Information-energy metasystem model", Kybernetes, Vol. 44 No. 8/9, pp. 1298-1309. https://doi.org/10.1108/K-11-2014-0231
Publisher
:Emerald Group Publishing Limited
Copyright © 2015, Emerald Group Publishing Limited