DEFINITION:
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.
CONTENTS:
CONTENTS
Nature of KE for Planning / Introduction
Related Areas
KBS
Semantic Web and Planning Ontologies
Formal Methods in SE
Domain Analysis
Machine Learning
3. KE Support Tools and Environments
4. Knowledge Bases and Representation
5. Taxonomy of Planning Methods
6. Summary of Actions
New Sections:
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
Plan:
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