Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Model Evolution Based Theorem Proving

dc.contributor.authorBaumgartner, Peter
dc.date.accessioned2015-12-10T23:20:20Z
dc.date.issued2014
dc.date.updated2015-12-10T10:22:57Z
dc.description.abstractPeter Baumgartner highlights two trends that have received considerable attention in the field of automated theorem proving. The area of automated theorem proving is characterized by the development of numerous calculi and proof procedures, ranging from general purpose to specialized ones for specific subsets of first-order logic and logical theories. One of trends involves the integration of reasoning methods for propositional and for first-order logic, with a best-of-both-worlds motivation. The other trend involves built-in reasoning support modulo background theories, such as equality and integer arithmetic, which are important for software verification applications.
dc.identifier.issn1541-1672
dc.identifier.urihttp://hdl.handle.net/1885/66281
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.sourceIEEE Intelligent Systems
dc.titleModel Evolution Based Theorem Proving
dc.typeJournal article
local.bibliographicCitation.issue29
local.bibliographicCitation.lastpage10
local.bibliographicCitation.startpage4
local.contributor.affiliationBaumgartner, Peter, College of Engineering and Computer Science, ANU
local.contributor.authoruidBaumgartner, Peter, u1815000
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor080201 - Analysis of Algorithms and Complexity
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationu4334215xPUB1257
local.identifier.citationvolumeOnline (published dates tbc)
local.identifier.doi10.1109/MIS.2013.124
local.identifier.scopusID2-s2.0-84901803703
local.identifier.thomsonID000335226200002
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 2 of 2
Loading...
Thumbnail Image
Name:
01_Baumgartner_Model_Evolution_Based_Theorem_2014.pdf
Size:
630.21 KB
Format:
Adobe Portable Document Format
Loading...
Thumbnail Image
Name:
02_Baumgartner_Model_Evolution_Based_Theorem_2014.pdf
Size:
113.17 KB
Format:
Adobe Portable Document Format