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  • © 2020

Knowledge Engineering Tools and Techniques for AI Planning

  • There is no up-to-date book which covers this topic area, only a few scattered research/conference papers which address this topic

  • Chapters writen by International leaders from both industry and academia working in this field

  • Discusses Transport Visualisation tool for PDDL Planning

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-38561-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 169.99
Price excludes VAT (USA)
Hardcover Book USD 169.99
Price excludes VAT (USA)

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-viii
  2. Knowledge Capture and Encoding

    1. Front Matter

      Pages 1-1
    2. Explanation-Based Learning of Action Models

      • Diego Aineto, Sergio Jiménez, Eva Onaindia
      Pages 3-20
    3. Formal Knowledge Engineering for Planning: Pre and Post-Design Analysis

      • Jose Reinaldo Silva, Javier Martinez Silva, Tiago Stegun Vaquero
      Pages 47-65
    4. MyPDDL: Tools for Efficiently Creating PDDL Domains and Problems

      • Volker Strobel, Alexandra Kirsch
      Pages 67-90
    5. KEPS Book: Planning.Domains

      • Christian Muise, Nir Lipovetzky
      Pages 91-105
  3. Interaction, Visualisation, and Explanation

    1. Front Matter

      Pages 125-125
    2. An Interactive Tool for Plan Generation, Inspection, and Visualization

      • Alfonso E. Gerevini, Alessandro Saetti
      Pages 127-155
    3. Argument-Based Plan Explanation

      • Nir Oren, Kees van Deemter, Wamberto W. Vasconcelos
      Pages 173-188
    4. Interactive Planning-Based Hypothesis Generation with LTS+ +

      • Shirin Sohrabi, Octavian Udrea, Anton Riabov, Oktie Hassanzadeh
      Pages 189-207
    5. Web Planner: A Tool to Develop, Visualize, and Test Classical Planning Domains

      • Maurício C. Magnaguagno, Ramon Fraga Pereira, Martin D. Móre, Felipe Meneguzzi
      Pages 209-227
  4. Case Studies and Applications

    1. Front Matter

      Pages 229-229
    2. Design of Timeline-Based Planning Systems for Safe Human-Robot Collaboration

      • Andrea Orlandini, Marta Cialdea Mayer, Alessandro Umbrico, Amedeo Cesta
      Pages 231-248

About this book

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.

Keywords

  • Artificial Intelligence
  • AI Planning & Scheduling
  • Model-Based Reasoning
  • Knowledge Engineering
  • Knowledge Engineering Tools
  • Knowledge based systems
  • Computer Science
  • Validation & Verification
  • Knowledge Capture
  • Knowledge Encoding

Editors and Affiliations

  • Department of Computer Science, University of Huddersfield, Huddersfield, UK

    Mauro Vallati, Diane Kitchin

About the editors

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.

Bibliographic Information

  • Book Title: Knowledge Engineering Tools and Techniques for AI Planning

  • Editors: Mauro Vallati, Diane Kitchin

  • DOI: https://doi.org/10.1007/978-3-030-38561-3

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer Nature Switzerland AG 2020

  • Hardcover ISBN: 978-3-030-38560-6

  • Softcover ISBN: 978-3-030-38563-7

  • eBook ISBN: 978-3-030-38561-3

  • Edition Number: 1

  • Number of Pages: VIII, 277

  • Number of Illustrations: 44 b/w illustrations, 53 illustrations in colour

  • Topics: Knowledge Based Systems, Knowledge Management, Data Mining and Knowledge Discovery

Buying options

eBook USD 129.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-38561-3
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 169.99
Price excludes VAT (USA)
Hardcover Book USD 169.99
Price excludes VAT (USA)