Knowledge Engineering Tools and Techniques for AI Planning / edited by Mauro Vallati, Diane Kitchin.

Format:

Book

Contributor:

Vallati, Mauro, editor.

Kitchin, Diane, editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Language:

English

Subjects (All):

Knowledge representation (Information theory).

Knowledge management.

Data mining.

Knowledge based Systems.

Knowledge Management.

Data Mining and Knowledge Discovery.

Local Subjects:

Knowledge based Systems.

Knowledge Management.

Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (VIII, 277 pages) : 97 illustrations, 53 illustrations in color

Edition:

First edition 2020.

Contained In:

Springer Nature eBook

Place of Publication:

Cham : Springer International Publishing : Imprint: Springer, 2020.

System Details:

text file PDF

Summary:

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.

Contents:

Preface

Part I: Knowledge Capture and Encoding

1. Explanation-based Learning of Action Models

2. Automated Domain Model Encoding tools for Planning

3. A Formal Knowledge Engineering Approach for Planning and Scheduling: Applications with itSIMPLE

4. MyPDDL: Tools for efficiently creating PDDL domains and problems

5. Planning.Domains: A Tool Suite for the Planning Researcher

6. Modelling Planning Tasks: Representation Matters

Part II: Interaction, Visualisation, and Explanation

7. An Interactive Tool for Plan Generation, Inspection and Visualization

8. Interactive Visualization in Planning and Scheduling

9. Argument-based Plan Explanation

10. Interactive Planning-based Hypothesis Generation with LTS++

11. Web Planner: A Tool to Develop, Visualize and Test Classical Planning Domains

Part III: Case Studies and Applications

12. Design of Timeline-based Planning Systems for Safe Human-Robot Collaboration

13. Planning in a Real-world Application: An AUV Case Study

14. Knowledge Engineering and Planning for Social Human-Robot Interaction: A Case Study.-.

Other Format:

Printed edition:

ISBN:

978-3-030-38561-3

9783030385613

Access Restriction:

Restricted for use by site license.