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Main Data
Editor: Mauro Vallati, Diane Kitchin
Title: Knowledge Engineering Tools and Techniques for AI Planning
Publisher: Springer-Verlag
ISBN/ISSN: 9783030385613
Edition: 1
Price: CHF 103.30
Publication date: 01/01/2020
Content
Category: Informatik, EDV Buch
Language: English
Technical Data
Pages: 277
Kopierschutz: DRM
Geräte: PC/MAC/eReader/Tablet
Formate: PDF
Table of contents
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.


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.