O-Plan: the open planning architecture
Artificial Intelligence
Intelligent planning: a decomposition and abstraction based approach
Intelligent planning: a decomposition and abstraction based approach
IMPACTing SHOP: Putting an AI Planner Into a Multi-Agent Environment
Annals of Mathematics and Artificial Intelligence
SHOP: Simple Hierarchical Ordered Planner
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Characters in Search of an Author: AI-Based Virtual Storytelling
ICVS '01 Proceedings of the International Conference on Virtual Storytelling: Using Virtual Reality Technologies for Storytelling
Mobile Agents and Logic Programming
MA '02 Proceedings of the 6th International Conference on Mobile Agents
IJCAI'77 Proceedings of the 5th international joint conference on Artificial intelligence - Volume 2
A new HTN planning framework for agents in dynamic environments
CLIMA IV'04 Proceedings of the 4th international conference on Computational Logic in Multi-Agent Systems
Planning for a mobile robot to attend a conference
AI'05 Proceedings of the 18th Canadian Society conference on Advances in Artificial Intelligence
BDI Model-Based Crowd Simulation
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Stratified Multi-agent HTN Planning in Dynamic Environments
KES-AMSTA '07 Proceedings of the 1st KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Strategic Agent Communication: An Argumentation-Driven Approach
Declarative Agent Languages and Technologies VI
Background sensing control for planning agents working in the real world
KES-AMSTA'08 Proceedings of the 2nd KES International conference on Agent and multi-agent systems: technologies and applications
Background sensing control for planning agents working in the real world
International Journal of Intelligent Information and Database Systems
Speculative abductive reasoning for hierarchical agent systems
CLIMA'10 Proceedings of the 11th international conference on Computational logic in multi-agent systems
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HTN planning, especially forward-chaining HTN planning, is becoming important in the areas of agents and robotics, which have to deal with the dynamically changing world. Therefore, replanning in “forward-chaining” HTN planning has become an important subject for future study. This paper presents the new agent algorithm that integrates forward-chaining HTN planning, execution, belief updates, and plan modifications. Also, through combination with an A*-like heuristic search strategy, we show that our agent algorithm is effective for the replanning problem of museum tour guide robots, which is similar to the replanning problem of a traveling salesman.