LEADER 02090nam  2200445z- 450 
001 9910634082203321
005 20231214141236.0
010   $a1000148667
035   $a(CKB)5840000000218146
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/94460
035   $a(EXLCZ)995840000000218146
100   $a20202212d2022      |y             0
101 0 $ager
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aAdaptive Umweltmodellierung für kognitive Systeme in offener Welt durch dynamische Konzepte und quantitative Modellbewertung
210   $aKarlsruhe$cKIT Scientific Publishing$d2022
215   $a1 electronic resource (440 p.)
225 1 $aKarlsruher Schriften zur Anthropomatik
311   $a3-7315-1219-X 
330   $aIn this work, an approach for adaptive world modeling is proposed. World models for cognitive systems often employ predefined domain models, which may become insufficient when encountering unforeseen entities. The presented approach addresses an adaptive extension of such domain models, considering the relevance of proposed model adaptations. As a basis, a quantitative model evaluation is devised, rating the ability of a domain model to represent the currently observed environment state.
606   $aMaths for computer scientists$2bicssc
610   $aUmweltmodellierung
610   $aquantitative Modellbewertung
610   $aprobabilistische Informationsverarbeitung
610   $aKonzeptlernen
610   $akognitive Systeme
610   $aworld modeling
610   $aquantitative model evaluation
610   $aconcept learning
610   $aprobabilistic information processing
610   $acognitive systems
615  7$aMaths for computer scientists
700   $aKuwertz$b Achim Christian$4auth$01319584
906   $aBOOK
912   $a9910634082203321
996   $aAdaptive Umweltmodellierung für kognitive Systeme in offener Welt durch dynamische Konzepte und quantitative Modellbewertung$93033991
997   $aUNINA