This paper extends existing analyses of the performance of heuristic search in several directions. First we show experimentally that, with minor modifications, an exist-ing analysis of IDA * also applies to A*. Furthermore, we apply a related model to predict the performance of IDA*, using only the branching factor of the problem, the search depth, and the size of a pattern database, to the 15 puzzle. Finally, we extend this existing model to additive disjoint pattern databases. The reduction in the number of nodes expanded for IDA * using multiple ad-ditive pattern databases is the product of the reductions achieved by the individual databases. We experimen-tally verify this result using the 4-peg Towers of Hanoi problem. This is the first...
Search has been vital to artificial intelligence from the very beginning as a core technique in prob...
In the field of heuristic search it is usually assumed that admissible heuristics are consistent, im...
In practice, an incomplete heuristic search nearly always finds better solutions if it is allowed to...
This paper analyzes the performance of IDA* using additive heuristics. We show that the reduction in...
We explore a method for computing admissible heuristic evaluation functions for search problems. It ...
A pattern database (PDB) is a heuristic function stored as a lookup table. This paper considers how ...
A model containing multiple optimal solutions and nonoptimal solutions is constructed to study the p...
AbstractA pattern database (PDB) is a heuristic function stored as a lookup table. This paper consid...
We analyze the asymptotic time complexity of admis-sible heuristic search algorithms such as A*, IDA...
AbstractWe describe a new technique for designing more accurate admissible heuristic evaluation func...
Heuristic search algorithms (eg. A* and IDA*) with accurate lower bounds can solve impressively larg...
This paper summarizes recent analytical Inves-t igations of the mathematical properties of heuris t ...
The performance of a new heuristic search algorithm is analyzed in this paper. The algorithm uses a ...
Published papers rarely disclose implementation details. In this paper we show how such details can ...
Iterative-deepening-A* (IDA*) is an admissible heuristic search algorithm which is optimal with resp...
Search has been vital to artificial intelligence from the very beginning as a core technique in prob...
In the field of heuristic search it is usually assumed that admissible heuristics are consistent, im...
In practice, an incomplete heuristic search nearly always finds better solutions if it is allowed to...
This paper analyzes the performance of IDA* using additive heuristics. We show that the reduction in...
We explore a method for computing admissible heuristic evaluation functions for search problems. It ...
A pattern database (PDB) is a heuristic function stored as a lookup table. This paper considers how ...
A model containing multiple optimal solutions and nonoptimal solutions is constructed to study the p...
AbstractA pattern database (PDB) is a heuristic function stored as a lookup table. This paper consid...
We analyze the asymptotic time complexity of admis-sible heuristic search algorithms such as A*, IDA...
AbstractWe describe a new technique for designing more accurate admissible heuristic evaluation func...
Heuristic search algorithms (eg. A* and IDA*) with accurate lower bounds can solve impressively larg...
This paper summarizes recent analytical Inves-t igations of the mathematical properties of heuris t ...
The performance of a new heuristic search algorithm is analyzed in this paper. The algorithm uses a ...
Published papers rarely disclose implementation details. In this paper we show how such details can ...
Iterative-deepening-A* (IDA*) is an admissible heuristic search algorithm which is optimal with resp...
Search has been vital to artificial intelligence from the very beginning as a core technique in prob...
In the field of heuristic search it is usually assumed that admissible heuristics are consistent, im...
In practice, an incomplete heuristic search nearly always finds better solutions if it is allowed to...