Title :
Exploiting the relationship between IA networks and finite domain CSPs
Author :
Trudel, André ; Zhang, Haiyi
Author_Institution :
Jodrey Sch. of Comput. Sci., Acadia Univ., Canada
Abstract :
We exploit the fact that qualitative interval algebra (IA) network problems are finite domain CSPs. We show how to convert a qualitative IA network into an equivalent binary CSP problem with finite integer domains. The main benefit is that standard binary CSP solution techniques can be used. Once a solution is found, the transformations can be applied in reverse to generate a solution to the original IA network. We also prove that it is not the case that all finite domain binary CSP problems have an equivalent qualitative IA network counterpart.
Keywords :
algebra; communicating sequential processes; equivalent binary CSP problem; finite domain CSP; qualitative interval algebra network; standard binary CSP solution; Algebra; Computer science; Constraint theory;
Conference_Titel :
Temporal Representation and Reasoning, 2005. TIME 2005. 12th International Symposium on
Print_ISBN :
0-7695-2370-6
DOI :
10.1109/TIME.2005.22