Knowledge Engineering Tools and Techniques for AI Planning
暫譯: 人工智慧規劃的知識工程工具與技術
Vallati, Mauro, Kitchin, Diane
相關主題
商品描述
This book presents a comprehensive review for Knowledge Engineering tools and techniques that can be used in Artificial Intelligence Planning and Scheduling. KE tools can be used to aid in the acquisition of knowledge and in the construction of domain models, which this book will illustrate.
AI planning engines require a domain model which captures knowledge about how a particular domain works - e.g. the objects it contains and the available actions that can be used. However, encoding a planning domain model is not a straightforward task - a domain expert may be needed for their insight into the domain but this information must then be encoded in a suitable representation language. The development of such domain models is both time-consuming and error-prone. Due to these challenges, researchers have developed a number of automated tools and techniques to aid in the capture and representation of knowledge.
This book targets researchers and professionals working in knowledge engineering, artificial intelligence and software engineering. Advanced-level students studying AI will also be interested in this book.
商品描述(中文翻譯)
本書提供了關於知識工程工具和技術的全面回顧，這些工具和技術可用於人工智慧規劃和排程。知識工程工具可以幫助獲取知識並構建領域模型，本書將對此進行說明。
人工智慧規劃引擎需要一個領域模型，該模型捕捉有關特定領域運作的知識，例如它所包含的物件和可用的行動。然而，編碼一個規劃領域模型並不是一項簡單的任務——可能需要領域專家的見解，但這些資訊必須以合適的表示語言進行編碼。開發這樣的領域模型既耗時又容易出錯。由於這些挑戰，研究人員已開發出多種自動化工具和技術，以幫助捕捉和表示知識。
本書的目標讀者是從事知識工程、人工智慧和軟體工程的研究人員和專業人士。學習人工智慧的高級學生也會對本書感興趣。
作者簡介
Dr Diane Kitchin has worked as a Senior Lecturer in the Department of Computer Science at the University of Huddersfield since 2000. Her main research focuses on the area of AI Planning and Knowledge Engineering. She has published papers on Object-Centred Planning, Tools for AI, Portfolio-based planning and Domain model acquisition in a number of conference proceedings. Work on Planning Domain Definition appeared in the Journal of Knowledge Engineering, with further journal publications in the International Journal on Artificial Intelligence Tools, The Knowledge Engineering Review and AI Communications.
Dr Mauro Vallati is a Senior Lecturer in the Department of Computer Science at the University of Huddersfield. He has extensive experience in real-world applications of AI methods and techniques, with his research focusing on the Knowledge Engineering aspects of AI applications. Among the others, he investigated the use of AI for managing urban traffic control, for controlling robots, and for reducing the energy consumption of manufacturing machine tools. Dr. Vallati has published a significant number of papers in top AI venues, and has co-organised important events for the AI field, such as workshops, competitions, and conferences. He delivered numerous tutorials in important AI venues.
作者簡介(中文翻譯)
黛安·基欽博士自2000年以來在哈德斯菲爾德大學計算機科學系擔任高級講師。她的主要研究集中在人工智慧規劃（AI Planning）和知識工程（Knowledge Engineering）領域。她在多個會議論文集中發表了有關物件中心規劃（Object-Centred Planning）、人工智慧工具（Tools for AI）、基於投資組合的規劃（Portfolio-based planning）和領域模型獲取（Domain model acquisition）的論文。關於規劃領域定義的研究發表在《知識工程期刊》（Journal of Knowledge Engineering）上，並在《國際人工智慧工具期刊》（International Journal on Artificial Intelligence Tools）、《知識工程評論》（The Knowledge Engineering Review）和《人工智慧通訊》（AI Communications）等期刊上有進一步的發表。
毛羅·瓦拉提博士是哈德斯菲爾德大學計算機科學系的高級講師。他在人工智慧方法和技術的實際應用方面擁有豐富的經驗，研究重點是人工智慧應用的知識工程方面。他研究了人工智慧在城市交通控制、機器人控制以及降低製造機械工具能耗方面的應用。瓦拉提博士在頂尖的人工智慧會議上發表了大量論文，並共同組織了人工智慧領域的重要活動，如研討會、競賽和會議。他在重要的人工智慧會議上提供了多次教程。
