论文标题

使用主动推理的基于区块链的分散知识市场

Blockchain-Based Decentralized Knowledge Marketplace Using Active Inference

论文作者

Joshi, Shashank, Choudhury, Arhan

论文摘要

知识市场可以描述为有一致的数据供应以满足信息需求的一种市场,并负责与需要这些解决方案的实体映射潜在的问题解决者。可以将它们定义为价值交换系统,在这种系统中,创建和交换智力资产的动态特征是各种利益相关者之间互动频率,性质和结果的基本驱动力。此外,在发展能够随着时间的推移能够持续的知识市场的过程中,提供财务支持是研究的重要组成部分,这也是科学研究进展的重要驱动力。本文强调了与常规基于知识的市场相关的瑕疵,包括但不限于过度融资集中,无效的信息交换,缺乏安全性,实体映射等。作者为知识市场提供了一个分散的知识框架,该框架结合了诸如区块链,积极的推理,零用框架的机构等方面的技术,不仅提供了质高的框架。以及在各种利益相关者之间共享知识和服务的控制方法。

A knowledge market can be described as a type of market where there is a consistent supply of data to satisfy the demand for information and is responsible for the mapping of potential problem solvers with the entities which need these solutions. It is possible to define them as value-exchange systems in which the dynamic features of the creation and exchange of intellectual assets serve as the fundamental drivers of the frequency, nature, and outcomes of interactions among various stakeholders. Furthermore, the provision of financial backing for research is an essential component in the process of developing a knowledge market that is capable of enduring over time, and it is also an essential driver of the progression of scientific investigation. This paper underlines flaws associated with the conventional knowledge-based market, including but not limited to excessive financing concentration, ineffective information exchange, a lack of security, mapping of entities, etc. The authors present a decentralized framework for the knowledge marketplace incorporating technologies such as blockchain, active inference, zero-knowledge proof, etc. The proposed decentralized framework provides not only an efficient mapping mechanism to map entities in the marketplace but also a more secure and controlled way to share knowledge and services among various stakeholders.

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