fetch.ai（FET）令牌实用和技术堆栈

Fetch.ai的实用程序代币FET旨在查找，创建，部署和培训数字双胞胎，并且是平台上智能合约和甲骨文的重要组成部分。

The FET utility token from Fetch.ai is used to find, create, deploy, and train digital twins, which are a key component of smart contracts and oracles on the platform.

FETCH.AI的FET实用程序令牌用于查找，创建，部署和训练数字双胞胎，这是平台上智能合约和甲壳的关键组成部分。

With FET, users can build and deploy their own digital twins on the network. Developers can gain access to machine-learning-based utilities to train autonomous digital twins and deploy collective intelligence on the network by paying with FET tokens.

使用FET，用户可以在网络上构建和部署自己的数字双胞胎。开发人员可以通过使用FET令牌付款，可以访问基于机器学习的公用事业来培训自动数字双胞胎并在网络上部署集体智能。

Staking FET tokens also enables validation nodes, facilitating network validation and reputation.

Straking Fet代币还可以实现验证节点，促进网络验证和声誉。

The technology stack of Fetch.ai comprises four distinct elements:

fetch.ai的技术堆栈包括四个不同的要素：

The Digital Twin Framework provides modular components that aid teams in building marketplaces, skills, and intelligence for digital twins to connect with.

Digital Twin框架提供了模块化组件，可帮助团队在建立市场，技能和智能方面供数字双胞胎建立联系。

The Open Economic Framework provides search and discovery functions to digital twins.

开放的经济框架为数字双胞胎提供了搜索和发现功能。

The Digital Twin Metropolis is a collection of smart contracts that run on a WebAssembly (WASM) virtual machine to maintain an immutable record of agreements between digital twins.

Digital Twin Metropolis是在WebAssembly（WASM）虚拟机上运行的智能合约的集合，可维持数字双胞胎之间的协议记录。

The Fetch.ai Blockchain combines multi-party cryptography and game theory to provide secure, censorship-resistant consensus and rapid chain-syncing to support digital twin applications.

Fetch.AI区块链结合了多方加密图和游戏理论，以提供安全的，耐心的共识和快速的链条同步，以支持数字Twin应用程序。

Among the platform's core components are the learner, where each participant is the learner in the experiment, representing a unique private dataset and machine learning system; the global market, which is the output of a collective learning experiment, where the machine learning model is trained collectively by the learners themselves; the Fetch.ai Blockchain, which supports smart contracts that enable coordination and governance in a secure and auditable manner; and the decentralized data layer based on IPFS, which facilitates the sharing of machine learning weights between all the learners involved.

平台的核心组成部分是学习者，每个参与者都是实验中的学习者，代表独特的私人数据集和机器学习系统；全球市场是集体学习实验的输出，在该实验中，机器学习模型是由学习者本身集体培训的； Fetch.AI区块链，该区块链支持智能合同，以安全有理的方式实现协调和治理；以及基于IPF的分散数据层，这有助于在所有相关学习者之间共享机器学习权重。