Domain-independent planning: representation and plan generation
Artificial Intelligence
Artificial intelligence
Automated generation of model-based knowledge acquisition tools
Automated generation of model-based knowledge acquisition tools
AI Magazine
O-Plan: the open planning architecture
Artificial Intelligence
A spectrum of logical definitions of model-based diagnosis
Computational Intelligence
KADS: a modelling approach to knowledge engineering
Knowledge Acquisition - Special issue on the KADS approach to knowledge engineering
EXCALIBUR: a program for planning and reasoning with processes
Artificial Intelligence
Formally specifying reusable knowledge model components
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
HTN planning: complexity and expressivity
AAAI'94 Proceedings of the twelfth national conference on Artificial intelligence (vol. 2)
A comparative analysis of partial order planning and task reduction planning
ACM SIGART Bulletin
Common KADS Library for Expertise Modelling
Common KADS Library for Expertise Modelling
Automating Knowledge Acquisition for Expert Systems
Automating Knowledge Acquisition for Expert Systems
A Computer Model of Skill Acquisition
A Computer Model of Skill Acquisition
The Nature of Knowledge in an Abductive Event Calculus Planner
EKAW '00 Proceedings of the 12th European Workshop on Knowledge Acquisition, Modeling and Management
Rationale in planning: causality, dependencies, and decisions
The Knowledge Engineering Review
Par-KAP: a knowledge acquisition tool for building practical planning systems
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
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Planning is one of the most important and oldest fields of AI. However, there is no consensus on how to compare and classify planning systems and methods. Neither the traditional view of planning as search nor the formalization efforts have been able to provide a basis for a classification scheme.This article explores the idea that a perspective based on Newell's knowledge level can be useful for this task. We present a knowledge-level analysis of classical planning systems in terms of models of the problem-solving methods they used. Rather than reengineering these systems in detail, however, our goal is to show how this type of analysis can help define which roles knowledge may play in planning tasks, and how these roles can be used to compare planning methods in terms of (i) which types of knowledge are used, (ii) how they are structured in what we call domain models. As a tool to analyze and represent planning methods we use the KADS methodology.