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Preprint . 2025
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ZENODO
Preprint . 2025
License: CC BY
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Preprint . 2025
License: CC BY
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Preprint . 2025
License: CC BY
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Preprint . 2025
License: CC BY
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Protocols and Institutions

Authors: Zargham, Michael; Ben-Meir, Ilan;

Protocols and Institutions

Abstract

This paper is a pre-print of a book chapter that explores the relationship between protocols and institutions through the lens of control systems engineering. Cross-referencing concepts from Institutional Economics, Cybernetics, Control Theory, and Market Design, we define institutions mathematically through correspondence to stability (in the sense of Lyapunov), demonstrating that behavior can be enduringly and predictably patterned without resorting to coercive control. Grounded in engineering practice, we emphasize field surveys as prerequisites for formal modeling, avoiding purely theoretical constructs. Aligning our terminology with control engineering’s canonical forms enables us to direct readers to a broad suite of practical methods, while highlighting emerging work on institutional design through protocolization. The chapter will appear in Web3 Blockchain Economic Theory, edited by Melanie Swan, Soichiro Takagi, and Frank Witte.

Related Organizations
Keywords

Control systems, Institutional Practice/economics, Market Design, Control Theory, Institutions, Internet protocols, Cybernetics, Protocols

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green