Some Recent Results in Heuristic Search Theory
- 1 January 1984
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 6 (1) , 1-13
- https://doi.org/10.1109/tpami.1984.4767470
Abstract
The paper summarizes recent analytical investigations of the mathematical properties of heuristics and their influence on the performance of common search techniques. The results are reported without proofs together with discussions of motivations and interpretations. The highlights include the following: the optimality of A*; relations between the precision of the heuristic estimates and the average complexity of the search; comparisons of the average complexities of A* and BACKTRACKING; procedures for comparing and combining nonadmissible heuristic functions; the influence of the weight w (in f = (l - w) g + wh) on the complexity of A*; the pruning power of alphabeta, SSS*, and SCOUT; the effect of successor ordering on search complexity, and the effect of search depth of the quality of decisions in game-playing.Keywords
This publication has 18 references indexed in Scilit:
- On the nature of pathology in game searchingArtificial Intelligence, 1983
- Pathology on game trees revisited, and an alternative to minimaxingArtificial Intelligence, 1983
- Probabilistic analysis of the complexity ofArtificial Intelligence, 1980
- Asymptotic properties of minimax trees and game-searching proceduresArtificial Intelligence, 1980
- The B∗ tree search algorithm: A best-first proof procedureArtificial Intelligence, 1979
- On the branching factor of the alpha-beta pruning algorithmArtificial Intelligence, 1978
- Branch-and-bound procedure and state—space representation of combinatorial optimization problemsInformation and Control, 1978
- On the optimality of A∗Artificial Intelligence, 1977
- An analysis of alpha-beta pruningArtificial Intelligence, 1975
- Experiments With Some Programs That Search Game TreesJournal of the ACM, 1969