autonomous intelligence 中文意思是什麼

autonomous intelligence 解釋
獨立智能
  • autonomous : adj. 1. 自治的，自主的。2. 【植、生】自發的。
  • intelligence : n. 1. 智力，智慧，才智，聰明。2. 通知，消息。3. 情報，諜報，情報機構。4. （導引）信息，（瞄準）信號。5. 【宗教】 〈常pl. 〉神，天使。
  1. On the basis of investigation and synthesis of the relative theory and key technology on the topological structure of locomotion, control system architecture, maneuverability, trafficability, the integration of exact mechanical engineering, net - based communication and sensor technology, an innovative robot with reconfiguration and biomimetic characteristics has been developed for 863 program of china ? study on autonomous navigation system for intelligence mobile robot in unknown environment

    本文針對「未知環境中自主工作智能移動機器人導航系統研究」的國家863項目，在綜述國內外關于移動機器人走行部拓撲結構、控制體系、機動性和通過性等移動機器人的相關理論和關鍵技術的基礎上，綜合利用精密機械、網路通信、傳感技術等學科的技術，研製開發出一種多機動模式可重構移動機器人。
  2. This research project, based on the existing problems in mathematics curriculum evaluation and the conceptions of mathematics curriculum as the guideline, systematically analyzes the basic characteristics of the developmental evaluation, i. e. multi - dimensional, formative, developmental, understanding and inspiring. drawing on the modern mathematics conceptions, multi - intelligence theory and theories of constructivism, this project systemically illustrated the connotation of the developmental evaluation : the key of evaluation is for application ; the goal is multi - dimensional ; the process is context - dependent ; the outcome is to promote the development. in view of the conceptions of developmental evaluation ( i. e. human - centered whole evaluation ; quality - focused overall evaluation ; participation - stressed autonomous evaluation ; future - faced evaluation ; guiding evaluation and inspiring evaluation ), the components of the developmental evaluation model in the new mathematics curriculum is analyzed in details in this project ( i. e. goal system, subject system and object system ) and the core structure of the developmental evaluation is established ( i. e. evaluation indicator system model )

    本課題研究以數學課程評價的現存問題為著手點，以數學課程理念為目標指向，系統分析了數學新課程發展性評價的多元性、形成性、發展性、理解性、激勵性等基本特徵;以現代數學觀、多元智力理論、建構主義理論以及成功智力理論為理論背景，系統闡述了數學新課程發展性評價之意蘊?評價核心聚焦應用，評價目標指向多元，評價過程依存情境，評價結果歸依發展;以數學新課程發展性評價理念，即以人為本的全體性評價、注重素質的全面性評價、注重參與的自主性評價、促進完善的引導性評價、不斷進取的激勵性評價、面向未來的期望性評價為航標，深入剖析了數學新課程發展性評價模式的構成成分，即目標系統、主體系統和客體系統，由此構建發展性評價模式的核心圖式?評價指標體系的模式:以數學新課程發展性評價過程為參照，尋求並創設評價準則的設計技術，評價權重的構造技術，評價信息的收集技術，評價結果的分析與處理技術;以數學新課程評價系統內蘊的一般認識論、發生認識論與發展認識論指導評價方法，詳細探討了檔案袋法、表現性評價、自我評價與同伴評定相結合的方法、蘇格拉底式研討評定和測驗法在評價中的應用。
  3. Autonomous land vehicle ( alv ) is an intelligent mobile robot, which can run autonomously and continuously on road or cross - country. its research, which involves theories and technologies of many disciplines, and embodies the latest achievements of information and artificial intelligence, is of great value in research and application, and is paid great attention to all over the world

    陸地自主車（ autonomouslandvehicle ，簡稱alv ）是一種能夠在道路和野外連續地、實時地自主運動的智能移動機器人，其研究涉及多個學科的理論與技術，體現了信息科學與人工智慧技術的最新成果，具有重大的研究價值和應用價值，受到了世界各國的重視。
  4. Prof thrun, director of stanford university ' s artificial intelligence laboratory, is the leader of a team of engineers and computer scientists who have created junior, the hot favourite to win a lucrative us military - funded race for autonomous robot cars

    特龍教授，斯坦福大學人工智慧實驗室主任，帶領一批工程師和電腦專家建造了「少年號」 ，這是本次美國軍方贊助的機器人汽車大賽大獎的奪冠熱門。
  5. Autonomous land vehicle ( alv ) is an unpiloted intelligent mobile robot. research about it involves theories and technologies of many disciplines, and embodies the latest achievements of information and artificial intelligence, is of great value

    自主車（ autonomouslandvehicle ，簡稱alv ）是一種無人駕駛的智能移動機器人，其研究涉及多個學科的理論與技術，體現了信息科學與人工智慧技術的最新成果，具有重大的研究價值。
  6. Muti - agent system technology which studies the intelligent behaviors of a group of autonomous agents is a focus in distributed artificial intelligence field presently. coordination and cooperation is the key issue of the research on the muti - agent system and muti - agent system needed communications among the course of them. usually communications in muti - agent system adopt a point to point way, so the course and information of the communication. coordination and cooperation are implicit in the systems. as a result, it is very difficult for us in this case to know what has happened in the system when it is running

    多智能體系統技術是當前分散式人工智慧領域研究的中的熱點，研究的是一組自治的智能體之間智能行為的協調。協調與合作是多智能體系統研究的核心問題，在多智能體之間合作協調的過程中需要進行通信。通常智能體的通信採用點對點的直接通信方式，通信、協作、協調的過程和信息在系統中是隱含的，但在這種情況下，當系統運行時我們很難了解系統的執行情況。
  7. Making use of machine learning methods, especially reinforcement learning methods, to realize the optimization and the adaptiveness of the autonomous navigation controller for mobile robots becomes an important research topic not only in robotics but also in artificial intelligence

    應用機器學習特別是增強學習方法實現移動機器人自主導航控制器的優化設計和對未知環境的自適應，是近年來機器人學和人工智慧界的一個重要研究課題。
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