SOME RECENT RESULTS OF NON-DETERMINISTIC MODELLING OF BEHAVIOUR SEQUENCES

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dc.contributor.authorWitten, Ian H.eng
dc.date.accessioned2008-02-27T22:22:37Z
dc.date.available2008-02-27T22:22:37Z
dc.date.computerscience1999-05-27eng
dc.date.issued1981-02-01eng
dc.description.abstractThis paper surveys several non-deterministic modelling techniques and places them in a uniform framework. Three basically different methods are discussed: enumeration and evaluation of possible models; reduction of a large model by coalescing states; and limited-context methods which analyse and process all strings of a given length which occur in the behaviour. Three results of recent work are presented. Firstly, the methodology of enumeration and evaluation is extended to the case where the model space permits recursion. Secondly, some new experiments on successive reduction of large models are described, which indicate that the quality of models produced by this technique is rather variable. Thirdly, it is shown that limited context methods which discard information about transitions cannot identify certain kinds of inputs. However, they can take advantage of assistance from a "teacher" in the form of markers in the input string.eng
dc.description.notesWe are currently acquiring citations for the work deposited into this collection. We recognize the distribution rights of this item may have been assigned to another entity, other than the author(s) of the work.If you can provide the citation for this work or you think you own the distribution rights to this work please contact the Institutional Repository Administrator at digitize@ucalgary.caeng
dc.identifier.department1981-52-4eng
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/31192
dc.identifier.urihttp://hdl.handle.net/1880/46097
dc.language.isoEngeng
dc.publisher.corporateUniversity of Calgaryeng
dc.publisher.facultyScienceeng
dc.subjectComputer Scienceeng
dc.titleSOME RECENT RESULTS OF NON-DETERMINISTIC MODELLING OF BEHAVIOUR SEQUENCESeng
dc.typeunknown
thesis.degree.disciplineComputer Scienceeng
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