A quantitative model of abstraction in problem solving is presented which explains how and to what extent it reduces the amount of search necessary to solve a problem. It is shown that a single level of abstraction can reduce search time by a factor of the square root of the size of the original space. Multiple hierarchical levels of abstraction can reduce the search complexity of a problem from linear in the size of the original problem space to logarithmic
ion Hierarchies for Constraint Satisfaction by Clustering Approximately Equivalent Objects Thomas ...
The use of abstraction in problem solving is an effective approach to reducing search, but finding g...
We present a novel method for building style abstraction hierarchies in planning. The aim of this m...
The use of abstraction in problem solving is an effective approach to reducing search, but finding g...
Abstraction can be an effective technique for dealing with the complexity of planning tasks. This p...
Knoblock and Korf have determined that abstraction can reduce search at a single agent from exponent...
AbstractThis paper presents a new perspective on the traditional AI task of problem solving and the ...
Most existing abstraction algorithms are sensitive to the initial problem formulation. Given two dif...
Knobtock and Korf have determined that abstraction can reduce search at a single agent from exponent...
A quantitative theory of abstraction is presented. The central feature of this is a growth formula d...
Abstraction is a technology that enables interleaved planning and execution, the much sought-after q...
This article surveys the field of Artificial Intelligence for theories of abstraction. We identify ...
Abstraction is a pervasive activity in human perception, conceptualization and reasoning; it enters ...
The aim of this work is to show the usefulness of abstraction in heuristic search. We use the abstra...
This paper addresses the problem of how to implement a proactive behavior according to a two-tiered...
ion Hierarchies for Constraint Satisfaction by Clustering Approximately Equivalent Objects Thomas ...
The use of abstraction in problem solving is an effective approach to reducing search, but finding g...
We present a novel method for building style abstraction hierarchies in planning. The aim of this m...
The use of abstraction in problem solving is an effective approach to reducing search, but finding g...
Abstraction can be an effective technique for dealing with the complexity of planning tasks. This p...
Knoblock and Korf have determined that abstraction can reduce search at a single agent from exponent...
AbstractThis paper presents a new perspective on the traditional AI task of problem solving and the ...
Most existing abstraction algorithms are sensitive to the initial problem formulation. Given two dif...
Knobtock and Korf have determined that abstraction can reduce search at a single agent from exponent...
A quantitative theory of abstraction is presented. The central feature of this is a growth formula d...
Abstraction is a technology that enables interleaved planning and execution, the much sought-after q...
This article surveys the field of Artificial Intelligence for theories of abstraction. We identify ...
Abstraction is a pervasive activity in human perception, conceptualization and reasoning; it enters ...
The aim of this work is to show the usefulness of abstraction in heuristic search. We use the abstra...
This paper addresses the problem of how to implement a proactive behavior according to a two-tiered...
ion Hierarchies for Constraint Satisfaction by Clustering Approximately Equivalent Objects Thomas ...
The use of abstraction in problem solving is an effective approach to reducing search, but finding g...
We present a novel method for building style abstraction hierarchies in planning. The aim of this m...