Show simple item record

dc.contributor.advisor Labuschagne, Willem
dc.contributor.author Viljoen, Elizabeth en
dc.date.accessioned 2015-01-23T04:24:28Z
dc.date.available 2015-01-23T04:24:28Z
dc.date.issued 1997-04 en
dc.identifier.citation Viljoen, Elizabeth (1997) Logics of belief, University of South Africa, Pretoria, <http://hdl.handle.net/10500/17812> en
dc.identifier.uri http://hdl.handle.net/10500/17812
dc.description.abstract The inadequacy of the usual possible world semantics of modal languages when the meaning of 'belief' is attached to the modal operator is discussed. Three other approaches are then investigated. In the case of Moore's autoepistemic logic it becomes possible to compare an agent's beliefs to 'reality', which cannot be done directly in the possible world semantics. Levesque's semantics makes explicit in the object language the notion of 'this is all the information the agent has', which plays an important role in nonmonotonic reasoning. Both of these approaches deal with ideal reasoners. The third approach, Konolige's deduction model, is based on a semantics capable of describing the beliefs of one or more resourcebounded agents. Finally, the AGM postulates for belief revision are discussed. en
dc.format.extent 1 online resource (ii, 85 leaves) en
dc.language.iso en
dc.subject Logic of belief en
dc.subject Epistemic logic en
dc.subject Possible worlds en
dc.subject Autoepistemic logic en
dc.subject Agent en
dc.subject Ideal reasoner en
dc.subject Only knowing en
dc.subject Resource-bounded reasoner en
dc.subject Deduction model en
dc.subject Belief revision en
dc.subject AGM postulates en
dc.subject.ddc 006.3 en
dc.subject.lcsh Logic programming en
dc.subject.lcsh Default reasoning en
dc.subject.lcsh Artificial intelligence en
dc.title Logics of belief en
dc.type Dissertation en
dc.description.department Computer Science en
dc.description.degree M.Sc. (Computer Science) en


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search UnisaIR


Browse

My Account

Statistics