Title :
Trichotomy in the Complexity of Minimal Inference
Author :
Durand, Arnaud ; Hermann, Miki ; Nordh, Gustav
Author_Institution :
ELM, Univ. Denis-Diderot Paris 7, Paris, France
Abstract :
We study the complexity of the propositional minimal inference problem. Its complexity has been extensively studied before because of its fundamental importance in artificial intelligence and nonmonotonic logics. We prove that the complexity of the minimal inference problem with unbounded queries has a trichotomy (between P, coNP-complete, and Pi2P-complete). This result finally settles with a positive answer the trichotomy conjecture of Kirousis and Kolaitis[A dichotomy in the complexity of propositional circumscription, LICS´01] in the unbounded case. We also present simple and efficiently computable criteria separating the different cases.
Keywords :
computational complexity; inference mechanisms; optimisation; Pi2P-complete; artificial intelligence; between P; coNP-complete; minimal inference complexity; nonmonotonic logics; propositional minimal inference problem; trichotomy conjecture; Artificial intelligence; Cloning; Computer science; Councils; Inference algorithms; Laboratories; Lattices; Logic programming; Polynomials; Virtual reality; Complete classification of complexity; Minimal inference;
Conference_Titel :
Logic In Computer Science, 2009. LICS '09. 24th Annual IEEE Symposium on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3746-7
DOI :
10.1109/LICS.2009.14