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.
翻译:知识市场可被描述为一种市场类型,即不断提供数据以满足信息需求,并负责与需要这些解决办法的实体绘制潜在问题解决者图;可以将其定义为价值交换系统,其中知识资产的创造和交换的动态特征是各种利益攸关方之间互动的频率、性质和结果的基本驱动因素;此外,为研究提供财政支助是发展知识市场过程中的一个关键组成部分,这种知识市场能够长期持续下去,也是科学调查进展的重要驱动因素;本文件强调与传统知识市场有关的缺陷,包括但不限于过度的融资集中、无效的信息交流、缺乏安全性、实体绘图等等;作者为知识市场提出了一个分散化的框架,其中纳入各种技术,如块链、积极的推断、零知识证据等;拟议的分散化框架不仅为绘制市场实体图提供了有效的绘图机制,而且还为各利益攸关方之间分享知识和服务提供了更加安全和有控制的方式。