High-level actions (HLAs) lie at the heart of hierarchical planning. Typically, an HLA admits multiple refinements into primitive action sequences. Correct descriptions of the effects of HLAs may be essential to their effective use, yet the literature is mostly silent. We propose an angelic seman-tics for HLAs, the key concept of which is the set of states reachable by some refinement of a high-level plan, represent-ing uncertainty that will ultimately be resolved in the plan-ning agent’s own best interest. We describe upper and lower approximations to these reachable sets, and show that the re-sulting definition of a high-level solution automatically sat-isfies the upward and downward refinement properties. We define a STRIPS-like notation...
The recent years have seen significant progress in the fields of computer science and the engineerin...
One of the main challenges in Artificial Intelligence is the problem of abstracting high-level model...
Automated planning is a task to find a sequence of actions leading from an initial state to a desire...
High-level actions (HLAs) are essential tools for coping with the large search spaces and long decis...
This thesis addresses the problem of generating goal-directed plans involving very many elementary a...
In planning based on hierarchical task networks (HTN), plans are generated by refining high-level ac...
Hierarchically structured agent plans are important for efficient planning and acting, and they also...
Useful and suitable action representations, with accompanying planning algorithms are crucial for th...
In this paper we explore the question of what characterises a desirable plan of action and how such ...
We consider the problem of constructing a symbolic description of a continuous, low-level environmen...
In this paper we explore the question of what characterises a desirable plan of action and how such ...
Uncertain and complex environments demand that an agent be able to anticipate the actions of others ...
Heuristics serve as a powerful tool in modern domain-independent planning (DIP) systems by providing...
International audienceIn temporal planning, chronicles can be used to represent the predictive model...
Hierarchical Task Networks (HTNs) are a family of powerful planning algorithms that have been succes...
The recent years have seen significant progress in the fields of computer science and the engineerin...
One of the main challenges in Artificial Intelligence is the problem of abstracting high-level model...
Automated planning is a task to find a sequence of actions leading from an initial state to a desire...
High-level actions (HLAs) are essential tools for coping with the large search spaces and long decis...
This thesis addresses the problem of generating goal-directed plans involving very many elementary a...
In planning based on hierarchical task networks (HTN), plans are generated by refining high-level ac...
Hierarchically structured agent plans are important for efficient planning and acting, and they also...
Useful and suitable action representations, with accompanying planning algorithms are crucial for th...
In this paper we explore the question of what characterises a desirable plan of action and how such ...
We consider the problem of constructing a symbolic description of a continuous, low-level environmen...
In this paper we explore the question of what characterises a desirable plan of action and how such ...
Uncertain and complex environments demand that an agent be able to anticipate the actions of others ...
Heuristics serve as a powerful tool in modern domain-independent planning (DIP) systems by providing...
International audienceIn temporal planning, chronicles can be used to represent the predictive model...
Hierarchical Task Networks (HTNs) are a family of powerful planning algorithms that have been succes...
The recent years have seen significant progress in the fields of computer science and the engineerin...
One of the main challenges in Artificial Intelligence is the problem of abstracting high-level model...
Automated planning is a task to find a sequence of actions leading from an initial state to a desire...