Title :
Towards tractable reasoning on temporal projection problems
Author :
Tan, Xing ; Gruninger, Michael
Author_Institution :
Dept. of Mech. & Ind. Eng., Univ. of Toronto, Toronto, ON, Canada
Abstract :
It is well known that reasoning with AI temporal projection problems is difficult. Determining the Possible Truth problem, a basic temporal projection decision problem, in the so-called Simple Event System remains NP-complete. In this paper, two types of constraints, on the graph-theoretic representation of the cause-and-effect relationships between events and on the partial orders of events, are further considered upon this boundary NP-complete Possible Truth problem, in an attempt to gain tractability. In particular, we show that the problem is still NP-complete even if the cause-and-effect graphs maintain a strongly restricted topology, whereas it is tractable if the graph is closely associated with the set of pairwise disjoint partial orders, which in addition is hierarchically structured.
Keywords :
cause-effect analysis; computational complexity; graph theory; inference mechanisms; optimisation; AI reasoning; AI temporal projection problems; NP-complete problem; cause-and-effect relationship; graph theory; possible truth problem; simple event system; Artificial intelligence; Industrial engineering; Knowledge representation; Laboratories; Manufacturing processes; Polynomials; Process control; Semantic Web; Topology; Uncertainty;
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
DOI :
10.1109/ICICISYS.2009.5358396