The paper describes a case study that explores the idea of building a planner with a neat semantics of the plans it produces, by choosing some action formalism that is 'ideal ' for the planning application and building the planner accordingly. In general—and particularly so for the action formalism used in this study, which is quite expressive—this strategy is unlikely to yield fast and efficient planners if the formalism is used naively. Therefore, we adopt the idea that the planner approximates the theoretically ideal plans, where the approximation gets closer the more run time the planner is allowed. As the particular formalism underlying our study allows a significant degree of uncertainty to be modelled and copes with the ram...
One reason for the success of the STRIPS planner and its derivatives was the use of a representation...
Planning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about plans,...
This report illustrates how new methods and techniques from the area of knowledge representation and...
The paper describes a case study that explores the idea of building a planner with a neat semantics ...
The paper describes a case study that explores the idea of building a planner with a neat semantics ...
The paper describes a case study that explores the idea of building a planner with a neat semantics...
Abstract. We describe notions that are useful for building planners whose reasoning about action mat...
As the limitations of traditional AI plan representations have become apparent, researchers have tur...
As the limitations of traditional AI plan representations have become apparent, researchers have tur...
One of the most studied areas of human reasoning from a computational point of view has been plannin...
Comunicació presentada a la Twenty-Sixth International Joint Conference on Artificial Intelligence (...
An autonomous agent operating in a dynamical environment will face a number of different reasoning p...
This paper describes a partial order planner written in prolog. The planner handles sensing actions,...
Comunicació presentada a la Twenty-Sixth International Joint Conference on Artificial Intelligence (...
Reasoning about uncertainty is an essential component of many real-world plan-ning problems, such as...
One reason for the success of the STRIPS planner and its derivatives was the use of a representation...
Planning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about plans,...
This report illustrates how new methods and techniques from the area of knowledge representation and...
The paper describes a case study that explores the idea of building a planner with a neat semantics ...
The paper describes a case study that explores the idea of building a planner with a neat semantics ...
The paper describes a case study that explores the idea of building a planner with a neat semantics...
Abstract. We describe notions that are useful for building planners whose reasoning about action mat...
As the limitations of traditional AI plan representations have become apparent, researchers have tur...
As the limitations of traditional AI plan representations have become apparent, researchers have tur...
One of the most studied areas of human reasoning from a computational point of view has been plannin...
Comunicació presentada a la Twenty-Sixth International Joint Conference on Artificial Intelligence (...
An autonomous agent operating in a dynamical environment will face a number of different reasoning p...
This paper describes a partial order planner written in prolog. The planner handles sensing actions,...
Comunicació presentada a la Twenty-Sixth International Joint Conference on Artificial Intelligence (...
Reasoning about uncertainty is an essential component of many real-world plan-ning problems, such as...
One reason for the success of the STRIPS planner and its derivatives was the use of a representation...
Planning is the branch of Artificial Intelligence (AI) that seeks to automate reasoning about plans,...
This report illustrates how new methods and techniques from the area of knowledge representation and...