Girard’s Linear Logic is a formalism which can be used to manage a lot of problems with consumable resources. Its expressiveness is quite good for an easily understandable encoding of many problems. We concentrated on expressing planning problems by linear logic in this paper. We observed a rich usage of a construct of consumable resources in planning problem formulations. This fact motivates us to provide a possible encoding of planning problems in linear logic. This paper shows how planning problems can be encoded in Linear Logic and how some optimizations of planning problems can be encoded. These optimizations can help planners to improve the efficiency of finding solutions (plans)
34 pagesThe potential usefulness of a logical approach to AI problems has motivated attempts to achi...
In recent work we showed that planning problems can be efficiently solved by general propositional s...
Despite many attempts, the resource philosophy associated with linear logic and other substructural ...
Linear Logic is a powerful formalism used to manage a lot of problems with resources. Linear Logic c...
Since the typical AI problem of making a plan of the actions to be performed by a robot so that it c...
It has been shown recently that planning problems are easier to solve when they are cast as model fi...
In this paper, we introduce a novel logic language and theorem prover for robotic task planning. Our...
In this paper, we introduce a novel logic language and theorem prover for robotic task planning. Our...
Many recent planning heuristics are based on LP optimization. However, planning experts mostly use L...
Analysing the structures of solution plans generated by AI Planning engines is helpful in improving...
In this paper, we propose an exponential multiplicative fragment of linear logic to encode and solve...
This paper presents an approach to artificial intelligence planning based on linear temporal logic (...
STRIPS language is a convenient representation for artificial intelligence planning problems. Planni...
The typical AI problem is that of making a plan of the actions to be performed by a robot so that th...
In this work we investigate the use of propositional linear temporal logic LTL as a specification la...
34 pagesThe potential usefulness of a logical approach to AI problems has motivated attempts to achi...
In recent work we showed that planning problems can be efficiently solved by general propositional s...
Despite many attempts, the resource philosophy associated with linear logic and other substructural ...
Linear Logic is a powerful formalism used to manage a lot of problems with resources. Linear Logic c...
Since the typical AI problem of making a plan of the actions to be performed by a robot so that it c...
It has been shown recently that planning problems are easier to solve when they are cast as model fi...
In this paper, we introduce a novel logic language and theorem prover for robotic task planning. Our...
In this paper, we introduce a novel logic language and theorem prover for robotic task planning. Our...
Many recent planning heuristics are based on LP optimization. However, planning experts mostly use L...
Analysing the structures of solution plans generated by AI Planning engines is helpful in improving...
In this paper, we propose an exponential multiplicative fragment of linear logic to encode and solve...
This paper presents an approach to artificial intelligence planning based on linear temporal logic (...
STRIPS language is a convenient representation for artificial intelligence planning problems. Planni...
The typical AI problem is that of making a plan of the actions to be performed by a robot so that th...
In this work we investigate the use of propositional linear temporal logic LTL as a specification la...
34 pagesThe potential usefulness of a logical approach to AI problems has motivated attempts to achi...
In recent work we showed that planning problems can be efficiently solved by general propositional s...
Despite many attempts, the resource philosophy associated with linear logic and other substructural ...