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ALGORITMŲ INTELEKTUALAUS PROGRAMINIO AGENTO BŪSENAI ATPAŽINTI TYRIMAS / Research of algorithms for recognition of a software agent state

In the context of adaptive intellectual learning environment (VLE) possibility of using conceptual clustering algorithms is analyzed, trying to accomplish the ability of software agent to "feel" the changing environment and recognise the states it is in. Agent environment is understood as interface between the user of VLE and the students model, which is stored in the VLE and is constantly changing. Agents ability to "feel" is understood as agents ability to classify students, based on their knowledge level, which changes in the learning process. Using conceptual clustering algorithms found in the literature, we are trying to choose one which is most suited for the problem area, modifying it to model real data.

Identiferoai:union.ndltd.org:LABT_ETD/oai:elaba.lt:LT-eLABa-0001:E.02~2006~D_20060614_101100-19191
Date14 June 2006
CreatorsRimkus, Edvardas
ContributorsLupeikienė, Audronė, Bielskis, Antanas Andrius, Ramašauskas, Olegas, Andziulis, Arūnas, Denisovas, Vitalijus, Klaipeda University
PublisherLithuanian Academic Libraries Network (LABT), Klaipeda University
Source SetsLithuanian ETD submission system
LanguageLithuanian
Detected LanguageEnglish
TypeMaster thesis
Formatapplication/pdf
Sourcehttp://vddb.library.lt/obj/LT-eLABa-0001:E.02~2006~D_20060614_101100-19191
RightsUnrestricted

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