fetch.ai（FET）令牌實用和技術堆棧

Fetch.ai的實用程序代幣FET旨在查找，創建，部署和培訓數字雙胞胎，並且是平台上智能合約和甲骨文的重要組成部分。

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實用程序令牌用於查找，創建，部署和訓練數字雙胞胎，這是平台上智能合約和甲殼的關鍵組成部分。

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，用戶可以在網絡上構建和部署自己的數字雙胞胎。開發人員可以通過使用FET令牌付款，可以訪問基於機器學習的公用事業來培訓自動數字雙胞胎並在網絡上部署集體智能。

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

Straking Fet代幣還可以實現驗證節點，促進網絡驗證和聲譽。

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

fetch.ai的技術堆棧包括四個不同的要素：

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

Digital Twin框架提供了模塊化組件，可幫助團隊在建立市場，技能和智能方面供數字雙胞胎建立聯繫。

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

開放的經濟框架為數字雙胞胎提供了搜索和發現功能。

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）虛擬機上運行的智能合約的集合，可維持數字雙胞胎之間的協議記錄。

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區塊鏈結合了多方加密圖和遊戲理論，以提供安全的，耐心的共識和快速的鏈條同步，以支持數字Twin應用程序。

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.

平台的核心組成部分是學習者，每個參與者都是實驗中的學習者，代表獨特的私人數據集和機器學習系統；全球市場是集體學習實驗的輸出，在該實驗中，機器學習模型是由學習者本身集體培訓的； Fetch.AI區塊鏈，該區塊鏈支持智能合同，以安全有理的方式實現協調和治理；以及基於IPF的分散數據層，這有助於在所有相關學習者之間共享機器學習權重。