This paper presents a simple, sound, complete, and systematic algorithm for domain independent STRIPS planning. Simplicity is achieved by starting with a ground procedure and then applying a general and independently verifiable, lifting transformation. Previous planners have been designed directly as lifted procedures. Our ground procedure is a ground version of Tate's NONLIN procedure. In Tate's procedure one is not required to determine whether a prerequisite of a step in an unfinished plan is guarnateed to hold in all linearizations. This allows Tate"s procedure to avoid the use of Chapman"s modal truth criterion. Systematicity is the property that the same plan, or partial plan, is never examined more than once. Systema...
This paper describes a polynomial algorithm for preprocessing planning problems which contain domain...
Most current planners assume complete domain models and focus on generating correct plans. Unfortuna...
We present a new method for partial order planning in the STRIPS/SNLP style. Our contribution center...
Although even propositional STRIPS planning is a hard problem in general, many instances of the prob...
Although even propositional STRIPS planning is a hard problem in general, many instances of the prob...
We present a new method for partial order planning in the STRIPS/SNLP style. Our contribution center...
Abstract. It is widely believed, that the expressivity of STRIPS and STRIPS-like planning based on a...
STRIPS language is a convenient representation for artificial intelligence planning problems. Planni...
In recent years, heuristic search methods for classical planning have achieved remarkable results. T...
Intelligent problem solving requires the ability to select actions autonomously from a specific stat...
In recent years, heuristic search methods for classical plan-ning have achieved remarkable results. ...
Generalized planning is the task of generating a single solution that is valid for a set of planning...
Abstract:- STRIPS planning is a problem of finding of a set of actions that transform given initial ...
We introduce a novel method for encoding cost optimal delete-free STRIPS Planning as SAT. Our method...
This paper presents GRT, a domain-independent heuristic planning system for STRIPS worlds. GRT solve...
This paper describes a polynomial algorithm for preprocessing planning problems which contain domain...
Most current planners assume complete domain models and focus on generating correct plans. Unfortuna...
We present a new method for partial order planning in the STRIPS/SNLP style. Our contribution center...
Although even propositional STRIPS planning is a hard problem in general, many instances of the prob...
Although even propositional STRIPS planning is a hard problem in general, many instances of the prob...
We present a new method for partial order planning in the STRIPS/SNLP style. Our contribution center...
Abstract. It is widely believed, that the expressivity of STRIPS and STRIPS-like planning based on a...
STRIPS language is a convenient representation for artificial intelligence planning problems. Planni...
In recent years, heuristic search methods for classical planning have achieved remarkable results. T...
Intelligent problem solving requires the ability to select actions autonomously from a specific stat...
In recent years, heuristic search methods for classical plan-ning have achieved remarkable results. ...
Generalized planning is the task of generating a single solution that is valid for a set of planning...
Abstract:- STRIPS planning is a problem of finding of a set of actions that transform given initial ...
We introduce a novel method for encoding cost optimal delete-free STRIPS Planning as SAT. Our method...
This paper presents GRT, a domain-independent heuristic planning system for STRIPS worlds. GRT solve...
This paper describes a polynomial algorithm for preprocessing planning problems which contain domain...
Most current planners assume complete domain models and focus on generating correct plans. Unfortuna...
We present a new method for partial order planning in the STRIPS/SNLP style. Our contribution center...