Add to ORKGPlanning for realistic problems in a static and deterministic environment with complete information faces exponential search spaces and, more often than not, should produce plans comprehensible for the user. This article introduces new planning strategies inspired by proof planning examples in order to tackle the search-space-problem and the structured-plan-problem. Island planning and refinement as well as subproblem refinement are integrated into a general planning framework and some exemplary control knowledge suitable for proof planning is given
Recent work by Kautz et al. provides tantalizing evidence that large, classical planning problems ma...
We give a formal definition of generalized planning that is independent of any representation formal...
Proof Planning Proof planning considers mathematical theorems as planning problems. A proof planning...
Despite the long history of classical planning, there has been very little comparative analysis of t...
In spite of the long history of classical planning, there has been very little comparative analysis ...
AbstractDespite the long history of classical planning, there has been very little comparative analy...
It has been shown recently that planning problems are easier to solve when they are cast as model fi...
Proof planning is an alternative methodology to classical automated theorem proving based on exhausi...
AbstractProof planning is a technique for theorem proving which replaces the ultra-efficient but bli...
AbstractThis paper presents an integrated view of a wide range of planning systems derived from diff...
Proof planning is an alternative methodology to classical automated theorem prov-ing based on exhaus...
A general and important problem of search-based planning techniques is the state explosion problem, ...
We introduce a width parameter that bounds the complexity of classical planning problems and domains...
Real-world planning problems can require search over thou-sands of actions and may yield a multitude...
Automated planning is the field of Artificial Intelligence (AI) that focuses on identifying sequence...
Recent work by Kautz et al. provides tantalizing evidence that large, classical planning problems ma...
We give a formal definition of generalized planning that is independent of any representation formal...
Proof Planning Proof planning considers mathematical theorems as planning problems. A proof planning...
Despite the long history of classical planning, there has been very little comparative analysis of t...
In spite of the long history of classical planning, there has been very little comparative analysis ...
AbstractDespite the long history of classical planning, there has been very little comparative analy...
It has been shown recently that planning problems are easier to solve when they are cast as model fi...
Proof planning is an alternative methodology to classical automated theorem proving based on exhausi...
AbstractProof planning is a technique for theorem proving which replaces the ultra-efficient but bli...
AbstractThis paper presents an integrated view of a wide range of planning systems derived from diff...
Proof planning is an alternative methodology to classical automated theorem prov-ing based on exhaus...
A general and important problem of search-based planning techniques is the state explosion problem, ...
We introduce a width parameter that bounds the complexity of classical planning problems and domains...
Real-world planning problems can require search over thou-sands of actions and may yield a multitude...
Automated planning is the field of Artificial Intelligence (AI) that focuses on identifying sequence...
Recent work by Kautz et al. provides tantalizing evidence that large, classical planning problems ma...
We give a formal definition of generalized planning that is independent of any representation formal...
Proof Planning Proof planning considers mathematical theorems as planning problems. A proof planning...