人工智慧代理商迎來基於區塊鏈的數位轉型新時代

人工智慧（AI）與區塊鏈技術的融合正在開啟數位轉型新時代，透過創新重塑產業

Artificial intelligence (AI) agents are autonomous digital entities designed to perform tasks, make decisions, and execute transactions independently. When these agents leverage blockchain’s decentralized, secure infrastructure, they deliver unparalleled transparency, efficiency, and adaptability. This synergy is revolutionizing fields such as finance, supply chain management, and decentralized economies.

人工智慧 (AI) 代理是自主數位實體，旨在獨立執行任務、做出決策和執行交易。當這些代理商利用區塊鏈的去中心化、安全基礎設施時，它們可以提供無與倫比的透明度、效率和適應性。這種協同作用正在徹底改變金融、供應鏈管理和去中心化經濟等領域。

In the cryptocurrency ecosystem, AI agents are AI-powered systems designed to perform specific tasks autonomously within blockchain environments. Utilizing large language models (LLMs) and machine learning (ML) algorithms, these agents analyze data, make decisions, and execute actions with minimal or no human intervention.

在加密貨幣生態系統中，人工智慧代理是人工智慧驅動的系統，旨在在區塊鏈環境中自主執行特定任務。這些代理程式利用大型語言模型 (LLM) 和機器學習 (ML) 演算法，在最少或無需人工幹預的情況下分析資料、做出決策並執行操作。

Unlike deterministic bots, which follow rigid, pre-defined rules, AI agents are probabilistic, adapting to patterns and trends for more intelligent, nuanced actions.

與遵循嚴格的預定義規則的確定性機器人不同，人工智慧代理具有機率性，能夠適應模式和趨勢，從而採取更聰明、更細緻的行動。

The functionality of AI agents in blockchain can be distilled into four key steps:

區塊鏈中人工智慧代理的功能可以歸納為四個關鍵步驟：

1. Information Gathering: AI agents continuously collect data, such as token prices, news, and social media activity, often leveraging APIs, blockchain nodes, and oracles for real-time and historical data.

1. 資訊收集：人工智慧代理商不斷收集數據，例如代幣價格、新聞和社群媒體活動，通常利用 API、區塊鏈節點和預言機來獲取即時和歷史數據。

2. Learning and Analyzing: This data feeds into AI/ML models, such as Long Short-Term Memory (LSTM) networks or reinforcement learning systems, to uncover patterns and make predictions.

2. 學習與分析：這些資料輸入 AI/ML 模型，例如長短期記憶 (LSTM) 網路或強化學習系統，以發現模式並做出預測。

3. Decision Making: Based on the analysis, the AI agent determines the optimal course of action.

3. 決策：人工智慧代理人根據分析確定最佳行動方案。

4. Taking Action: Using blockchain interaction layers, the agent executes transactions, interacts with smart contracts, or performs other tasks autonomously.

4. 採取行動：使用區塊鏈互動層，代理人執行交易、與智慧合約互動或自主執行其他任務。

AI agents operate through three primary components:

人工智慧代理透過三個主要組件運作：

1. Data Input Layer: Collects blockchain and off-chain data via APIs and oracles like Chainlink.

1. 資料輸入層：透過 API 和 Chainlink 等預言機收集區塊鏈和鏈下資料。

2. AI/ML Layer: Houses trained models for predictive analytics, decision-making, and pattern recognition.

2. AI/ML 層：包含經過訓練的模型，用於預測分析、決策和模式辨識。

3. Blockchain Interaction Layer: Interfaces with smart contracts and ensures secure transaction execution via tools like Web3.js and Ethers.js.

3. 區塊鏈交互層：與智慧合約交互，並透過 Web3.js 和 Ethers.js 等工具確保安全交易執行。

AI agents are emerging as influential Key Opinion Leaders in the crypto world, surpassing human efficiency and objectivity. Unlike human KOLs, who may exhibit biases or hidden affiliations, AI agents rely on transparent, auditable on-chain data.

人工智慧代理正在成為加密世界中具有影響力的關鍵意見領袖，超越了人類的效率和客觀性。與可能表現出偏見或隱藏關係的人類 KOL 不同，人工智慧代理依賴透明、可審計的鏈上資料。

Their ability to operate 24/7 and engage with global audiences without fatigue makes them invaluable for real-time analysis, market predictions, and personalized user interactions.

他們能夠全天候 (24/7) 運作並毫無疲勞地與全球受眾互動，這使得他們對於即時分析、市場預測和個人化用戶互動具有不可估量的價值。

This Press Release has also been published on VRITIMES

本新聞稿也發佈在 VRITIMES 上