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Redefining the Future of the Economy: Governance Blocks and Economic Architecture
by
Dawn Talbot
(Author),
Ralph Benko
(Author)
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Reconceptualize the Block
We have entered an era designed to relieve demands upon our attention; making it easier to delegate certain actions to systems and devices. Blockchain’s consensus algorithms facilitate delegated, group, decision-making – or governance. Is there a tipping point where collective governance becomes government? How would this change our design choices? Our investment selections? In this sense, blockchain is the first political protocol. And yet, many remain focused on encryption and data storage while conflating the advanced financial, economic, and monetary implications of these platforms.
Layering consensus algorithms allows for the creation of sophisticated financial systems. This is the most overlooked aspect of blockchain, of far more value than compiled and encrypted data. Combinatorial mathematics offers an organizational structure bringing order to the autonomous chaos of AI, providing accountability and regulatory compliance to capital markets.
This book describes Forms (in the geometric sense) of Democracy and States (as in the state machine of computer science) of Capitalism. It is primarily, although not exclusively, directed at Wall Street – investors – and inventors. It explains how to quickly and conclusively evaluate blockchains and blockchain ventures to determine whether they have all the critical elements necessary to properly evaluate risk and estimate future value. The mechanisms described include diagramming a governance block to evaluate functional states that are traceable and provide accountability. The authors describe how these systems can be diagrammed to unearth the economic architectures encoded in highly complex and likely AI-driven systems.
Wall Street veteran executive Dawn Talbot and former White House and blockchain trade association senior official Ralph Benko explore how consensus mechanisms will ultimately migrate from the exclusive use as an encryption tool for blocks of data to a set of AI-enabled economic systems. This evolution could have significant consequences for the fabric of finance, commerce, society and government. This book shows how governance blocks can organize functions and use forms of democracy to encode states of capitalism within an economic architecture, at last allowing blockchain to realize its potential.Early Reviews:
"Your book is fascinating the way it moves from economics to governance to mathematics to philosophy to poetry." – Norman Augustine, former CEO, Lockheed Martin
"Brilliant! This book lays out the mechanisms for achieving political and financial market consensus protocols. Potentially a game changer for Wall Street as it leaps to digital disintermediation." – Joy Malone, former Director of Research and thirty-year Wall Street veteran
We have entered an era designed to relieve demands upon our attention; making it easier to delegate certain actions to systems and devices. Blockchain’s consensus algorithms facilitate delegated, group, decision-making – or governance. Is there a tipping point where collective governance becomes government? How would this change our design choices? Our investment selections? In this sense, blockchain is the first political protocol. And yet, many remain focused on encryption and data storage while conflating the advanced financial, economic, and monetary implications of these platforms.
Layering consensus algorithms allows for the creation of sophisticated financial systems. This is the most overlooked aspect of blockchain, of far more value than compiled and encrypted data. Combinatorial mathematics offers an organizational structure bringing order to the autonomous chaos of AI, providing accountability and regulatory compliance to capital markets.
This book describes Forms (in the geometric sense) of Democracy and States (as in the state machine of computer science) of Capitalism. It is primarily, although not exclusively, directed at Wall Street – investors – and inventors. It explains how to quickly and conclusively evaluate blockchains and blockchain ventures to determine whether they have all the critical elements necessary to properly evaluate risk and estimate future value. The mechanisms described include diagramming a governance block to evaluate functional states that are traceable and provide accountability. The authors describe how these systems can be diagrammed to unearth the economic architectures encoded in highly complex and likely AI-driven systems.
Wall Street veteran executive Dawn Talbot and former White House and blockchain trade association senior official Ralph Benko explore how consensus mechanisms will ultimately migrate from the exclusive use as an encryption tool for blocks of data to a set of AI-enabled economic systems. This evolution could have significant consequences for the fabric of finance, commerce, society and government. This book shows how governance blocks can organize functions and use forms of democracy to encode states of capitalism within an economic architecture, at last allowing blockchain to realize its potential.Early Reviews:
"Your book is fascinating the way it moves from economics to governance to mathematics to philosophy to poetry." – Norman Augustine, former CEO, Lockheed Martin
"Brilliant! This book lays out the mechanisms for achieving political and financial market consensus protocols. Potentially a game changer for Wall Street as it leaps to digital disintermediation." – Joy Malone, former Director of Research and thirty-year Wall Street veteran
- ISBN-10057873317X
- ISBN-13978-0578733173
- Publication dateJuly 20, 2020
- LanguageEnglish
- Dimensions5 x 0.47 x 8 inches
- Print length207 pages
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Product details
- Publisher : Websters' Press
- Publication date : July 20, 2020
- Language : English
- Print length : 207 pages
- ISBN-10 : 057873317X
- ISBN-13 : 978-0578733173
- Item Weight : 10.2 ounces
- Dimensions : 5 x 0.47 x 8 inches
- Best Sellers Rank: #6,299,210 in Books (See Top 100 in Books)
- #9,124 in Strategic Business Planning
- #11,030 in Systems & Planning
- #33,907 in Computer Science (Books)