AbstractThe causal graph is a directed graph that describes the variable dependencies present in a planning instance. A number of papers have studied the causal graph in both practical and theoretical settings. In this work, we systematically study the complexity of planning restricted by the causal graph. In particular, any set of causal graphs gives rise to a subcase of the planning problem. We give a complete classification theorem on causal graphs, showing that a set of graphs is either polynomial-time tractable, or is not polynomial-time tractable unless an established complexity-theoretic assumption fails; our theorem describes which graph sets correspond to each of the two cases. We also give a classification theorem for the case of ...
Computationally tractable planning problems reported in the literature so far have almost exclusivel...
Many current heuristics for domain-independent planning, such as Bonet and Geffner’s additive heuris...
AbstractA planning problem is k-dependent if each action has at most k pre-conditions on variables u...
The causal graph is a directed graph that describes the vari-able dependencies present in a planning...
We present three new complexity results for classes of planning problems with simple causal graphs. ...
We present three new complexity results for classes of plan-ning problems with simple causal graphs....
Causal graphs are widely used in planning to capture the internal structure of planning instances. ...
Causal graphs are widely used to analyze the complexity of planning problems. Many tractable classes...
Unary operator domains – i.e., domains in which operators have a single effect – arise naturally in ...
AbstractA planning problem is k-dependent if each action has at most k pre-conditions on variables u...
Complexity analysis based on the causal graphs of planning instances is a highly important research ...
Unary operator domains – i.e., domains in which operators have a single effect – arise naturally in ...
A planning problem is k-dependent if each action has at most k pre-conditions on variables unaffecte...
A planning problem is k-dependent if each action has at most k pre-conditions on variables unaffecte...
Bäckström studied the parameterised complexity of planning when the domain-transition graphs (DTGs) ...
Computationally tractable planning problems reported in the literature so far have almost exclusivel...
Many current heuristics for domain-independent planning, such as Bonet and Geffner’s additive heuris...
AbstractA planning problem is k-dependent if each action has at most k pre-conditions on variables u...
The causal graph is a directed graph that describes the vari-able dependencies present in a planning...
We present three new complexity results for classes of planning problems with simple causal graphs. ...
We present three new complexity results for classes of plan-ning problems with simple causal graphs....
Causal graphs are widely used in planning to capture the internal structure of planning instances. ...
Causal graphs are widely used to analyze the complexity of planning problems. Many tractable classes...
Unary operator domains – i.e., domains in which operators have a single effect – arise naturally in ...
AbstractA planning problem is k-dependent if each action has at most k pre-conditions on variables u...
Complexity analysis based on the causal graphs of planning instances is a highly important research ...
Unary operator domains – i.e., domains in which operators have a single effect – arise naturally in ...
A planning problem is k-dependent if each action has at most k pre-conditions on variables unaffecte...
A planning problem is k-dependent if each action has at most k pre-conditions on variables unaffecte...
Bäckström studied the parameterised complexity of planning when the domain-transition graphs (DTGs) ...
Computationally tractable planning problems reported in the literature so far have almost exclusivel...
Many current heuristics for domain-independent planning, such as Bonet and Geffner’s additive heuris...
AbstractA planning problem is k-dependent if each action has at most k pre-conditions on variables u...