操練展示 的英文怎麼說
中文拼音 [cāoliànzhǎnshì]
操練展示
英文
orchesis-
Combining with knowledge representation and automatic reasoning principle of ai and generic paradigm, the system has these main functions : ? it is able to show different solutions of typical example ; ( 2 ) it can automatically generate problems similar to the example for students to solve by providing them with clues ; ( 3 ) these problems can be studied by demonstrating the complete solution process and answers with the help of automated reasoning, or by providing real - time prompts to students concurrent with the students " solution processes with the help of automated reasoning ; ? it provides exercises and is able to call a program produced by the group ( the translator ), which transfers apla programs to executable programs so as to verify its correctness ; ( 5 ) it let teacher to add examples in the database ; etc. hi the course of systematic research, we deeply investigated the relevant knowledge of the system and made some innovation : about teaching content, we select par method as the main content
本系統選用薛錦雲教授的par方法為主要教學內容，應用人工智慧的知識表示和自動推理原理及泛型思想，使得系統具有以下核心功能：展示幾種典型例題的解；以泛型思想為指導，實現了無限題庫，可以自動生成與典型例題類似的問題給學生求解並給予提示；對于這些題目，計算機可以自動推理出由問題到程序的全過程供學生學習；也可通過自動推理根據用戶的實際做題情況實時給出提示，互動式地幫助學生學習演算法程序設計；學生可以從問題庫中獲得練習，並調用轉換器，將自己的apla程序轉化為可執行語言程序，運行以檢驗其正確性；對教師而言，可以對已有的實例庫、問題庫進行添加操作等。在系統的研製過程中，我們深入研究了系統的各方面相關知識，並進行了多方面的創新：在教學內容方面，首次選用par方法為主要內容。Practise the following authentic interview english for foreign company to show your charm
外企面試口語，瘋狂操練，脫口而出，展示魅力Firstly, this paper analyses concepts, characteristics and logic development relation of agent, software agent and mobile agent. this paper pays more attention to key components of intelligent model of mobile agent and migration plan of mobile agent, training and learning of mobile agent, choice of host, migration strategy of mobile agent based on machine learning and correlation analysis. referring to masif and the exploitation of mobile agent platforms at present, this paper hammers at interlinking these platforms to realize true rem otion independent of them, which premises for manufacturing a mobile agent platform
本文首先分析了agent 、軟體agent 、移動agent的概念、特性及其邏輯發展繼承關系，顯示出了移動agent計算模式在低帶寬、高延遲環境下的優勢，重點研究移動agent智能遷移模型、移動agent遷移計劃、 agent的學習與訓練、 host選擇、基於機器學習的移動agent遷移策略等有關移動agent的關鍵技術，參照互操作性的規范masif ，根據目前移動agent平臺開發情況，致力於把這些平臺互連起來實現agent真正的跨平臺移動，為研製開發移動agent平臺做前提性研究工作。
分享友人