Title
State-action pairs reduction for strong cyclic planning via state reachability
Abstract
Strong cyclic planning under all state-action pairs has been addressed in the literature. Normally, the more the state-action pairs are, the higher of complexity is. In fact, there are many state-action pairs which are useless for strong cyclic planning. Before finding strong cyclic planning, it is significant to find a set of state-action pairs which are useless for strong cyclic planning, and to best of our knowledge, it is still an open problem. In this paper, hypergraph is defined for a nondeterministic state-transition system, adjacency matrix and reachability matrix of the hypergraph are defined. A method about how to use the adjancey matrix to count the reachability matrix is designed, and a way about how to use the reachability matrix to count the state reachability is presented in a nondeterministic state-transition system. Some important conclusions about strong cyclic planning are obtained by using the state reachability. These conclusions tell us what state-action pairs are useless when we search strong cyclic planning. So a lot of state-action pairs can be eliminated directly from all state-action pairs before searching strong cyclic planning. Our first contribution is the method which finds state reachability in nondeterministic state-transition system. A second contribution is the some important conclusions about strong cyclic planning, these works are significant to improve the efficiency of algorithm for solving strong cyclic planning.
Year
DOI
Venue
2010
10.1109/FSKD.2010.5569458
FSKD
Keywords
Field
DocType
state-action pairs reduction,planning (artificial intelligence),reachability matrix,matrix algebra,adjacency matrix,state reachability,nondeterministic state-transition system,strong cyclic planning,hypergraph,reachability analysis,algorithm design and analysis,planning,artificial intelligence,finite element methods
Adjacency matrix,Discrete mathematics,Algorithm design,Open problem,Nondeterministic algorithm,Computer science,Matrix (mathematics),Hypergraph,Reachability matrix,Reachability
Conference
Volume
ISBN
Citations 
4
978-1-4244-5931-5
0
PageRank 
References 
Authors
0.34
5
4
Name
Order
Citations
PageRank
Zhonghua Wen192.76
Jianlin Chen201.35
Qing Chang300.34
Yu-Long Hu400.34