Dining Philosophers, Byzantine Generals, and the Various Nodes, Users, and Citizens under Blockchain Rule

D. Kera
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Abstract

Agreements, consensuses, protocols, resource-sharing, and fairness are all examples of social and political metaphors that define and shape new computational algorithms. The thought experiments and allegories about resource-sharing or agreement between nodes played a vital role in the development of "concurrent programming" (enabling processor power-sharing and process synchronization) and still later in the development of distributed computing (facilitating data access and synchronization). These paved the way for current concepts of consensus mechanisms, smart contracts, and other descriptions of cryptocurrencies, blockchain, distributed ledger, and hashgraph technologies, paradoxically reversing the relations between metaphor and artifact. New computing concepts and algorithmic processes, such as consensus mechanisms, trustless networks, and automated smart contracts or DAOs (Distributed Autonomous Organizations), aim to disrupt social contracts and political decision-making and replace economic, social, and political institutions (e.g., law, money, voting). Rather than something that needs a metaphor, algorithms are becoming the metaphor of good governance. Current fantasies of algorithmic governance exemplify this reversal of the role played by metaphors: they reduce all concepts of governance to automation and curtail opportunities for defining new computing challenges inspired by the original allegories, thought experiments, and metaphors. Especially now, when we are still learning how best to govern the transgressions and excesses of emerging distributed ledger technologies, productive relations between software and allegory, algorithms and metaphors, code and law are possible so long as they remain transitive. Against this tyranny of algorithms and technologies as metaphors and aspirational models of governance, we propose sandboxes and environments that allow stakeholders to combine prototyping with deliberation, algorithms with metaphors, codes with regulations.
用餐哲学家,拜占庭将军,以及区块链规则下的各种节点,用户和公民
协议、共识、协议、资源共享和公平都是社会和政治隐喻的例子,它们定义和塑造了新的计算算法。关于节点之间资源共享或协议的思想实验和寓言在“并发编程”(实现处理器功率共享和进程同步)的发展以及后来的分布式计算(促进数据访问和同步)的发展中发挥了至关重要的作用。这些为当前共识机制、智能合约以及加密货币、区块链、分布式账本和哈希图技术的其他描述铺平了道路,矛盾地扭转了隐喻和工件之间的关系。新的计算概念和算法过程,如共识机制、无信任网络和自动化智能合约或dao(分布式自治组织),旨在破坏社会契约和政治决策,并取代经济、社会和政治制度(如法律、金钱、投票)。算法不再是需要隐喻的东西,而是正在成为良好治理的隐喻。当前算法治理的幻想例证了隐喻所扮演的角色的逆转:它们将治理的所有概念简化为自动化,并减少了定义受原始寓言、思想实验和隐喻启发的新计算挑战的机会。特别是现在,当我们仍在学习如何最好地管理新兴分布式账本技术的越界和过度行为时,只要软件与寓言、算法与隐喻、代码与法律之间保持可传递性,它们之间就有可能产生生产性关系。为了反对将算法和技术作为治理的隐喻和理想模型的暴政,我们提出了沙盒和环境,允许利益相关者将原型与审议、算法与隐喻、代码与法规结合起来。
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