http://www.planet-noe.org

European Networkof Excellence inAI Planning

KE ROADMAP

Lee McCluskey

University of Huddersfield

Review Meeting, Rome, 8. Nov. 2002, S. Biundo

DEFINITION

Knowledge Engineering (KE) in AI Planning is the process that deals with the

acquisition, validation and maintenance of planning domain models, and the

selection and optimization of appropriate planning machinery to work on them.

Review Meeting, Rome, 8. Nov. 2002, S. Biundo

CONTENTS

1. Nature of KE for Planning / Introduction

2. Related Areas

1. KBS

2. Semantic Web and Planning Ontologies

3. Formal Methods in SE

4. Domain Analysis

5. Machine Learning

3. KE Support Tools and Environments

4. Knowledge Bases and Representation

5. Taxonomy of Planning Methods

6. Summary of Actions

Review Meeting, Rome, 8. Nov. 2002, S. Biundo

New Sections

Three new sections• Semantic Web and Ontologies• KE fom a KBS perspective• KE in AI Planning: an experience report from

a knowledge engineer

Review Meeting, Rome, 8. Nov. 2002, S. Biundo

Plan

• What is left out?• What needs changing?• What needs re-arranging?

In the next few weeks:

We need to get it evaluated by some outside expert

Later:

We need to get it properly published