DocumentCode
3257193
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
fYear
2009
fDate
11-14 Aug. 2009
Firstpage
387
Lastpage
396
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Logic In Computer Science, 2009. LICS '09. 24th Annual IEEE Symposium on
Conference_Location
Los Angeles, CA
ISSN
1043-6871
Print_ISBN
978-0-7695-3746-7
Type
conf
DOI
10.1109/LICS.2009.14
Filename
5230562
Link To Document