Practical planning: extending the classical AI planning paradigm
Practical planning: extending the classical AI planning paradigm
Using temporal logics to express search control knowledge for planning
Artificial Intelligence
TALplanner: A temporal logic based forward chaining planner
Annals of Mathematics and Artificial Intelligence
Automated Planning: Theory & Practice
Automated Planning: Theory & Practice
Forward-chaining planning in nondeterministic domains
AAAI'04 Proceedings of the 19th national conference on Artifical intelligence
Journal of Artificial Intelligence Research
Learning action models from plan examples using weighted MAX-SAT
Artificial Intelligence
ARMS: an automatic knowledge engineering tool for learning action models for AI planning
The Knowledge Engineering Review
Real-Time Plan Adaptation for Case-Based Planning in Real-Time Strategy Games
ECCBR '08 Proceedings of the 9th European conference on Advances in Case-Based Reasoning
Pedagogically founded courseware generation based on HTN-planning
Expert Systems with Applications: An International Journal
Adaptation versus Retrieval Trade-Off Revisited: An Analysis of Boundary Conditions
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
Using Meta-reasoning to Improve the Performance of Case-Based Planning
ICCBR '09 Proceedings of the 8th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
On-line case-based plan adaptation for real-time strategy games
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
HTN-MAKER: learning HTNs with minimal additional knowledge engineering required
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Learning HTN method preconditions and action models from partial observations
IJCAI'09 Proceedings of the 21st international jont conference on Artifical intelligence
Learning complex action models with quantifiers and logical implications
Artificial Intelligence
A BDI agent programming language with failure handling, declarative goals, and planning
Autonomous Agents and Multi-Agent Systems
HTN-style planning in relational POMDPs using first-order FSCs
KI'11 Proceedings of the 34th Annual German conference on Advances in artificial intelligence
Adaptive storytelling and story repair in a dynamic environment
ICIDS'11 Proceedings of the 4th international conference on Interactive Digital Storytelling
Service adaptation recommender in the event marketplace: conceptual view
ESWC'11 Proceedings of the 8th international conference on The Semantic Web
Automated planning for feature model configuration based on stakeholders' business concerns
ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
A goal driven dynamic event subscription approach
Proceedings of the 6th ACM International Conference on Distributed Event-Based Systems
A hierarchical goal-based formalism and algorithm for single-agent planning
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Proceedings of the 16th International Software Product Line Conference - Volume 1
Dynamic event subscriptions in distributed event based architectures
Expert Systems with Applications: An International Journal
A companion technology for cognitive technical systems
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
A resource enhanced HTN planning approach for emergency decision-making
Applied Intelligence
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SHOP and SHOP2 are hierarchical task network (HTN) planning systems that were designed with two goals in mind: to investigate some research issues in automated planning, and to provide some simple, practical planning tools. They are available as open-source software and have an active base of users in government, industry, and universities. SHOP2 received one of the top four awards in the 2002 International Planning Competition. This article summarizes how SHOP and SHOP2 work, describes some of the applications that users have developed for them, and discusses directions for future work.