02090nam 2200445z- 450 991063408220332120231214141236.01000148667(CKB)5840000000218146(oapen)https://directory.doabooks.org/handle/20.500.12854/94460(EXLCZ)99584000000021814620202212d2022 |y 0gerurmn|---annantxtrdacontentcrdamediacrrdacarrierAdaptive Umweltmodellierung für kognitive Systeme in offener Welt durch dynamische Konzepte und quantitative ModellbewertungKarlsruheKIT Scientific Publishing20221 electronic resource (440 p.)Karlsruher Schriften zur Anthropomatik3-7315-1219-X In 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.Maths for computer scientistsbicsscUmweltmodellierungquantitative Modellbewertungprobabilistische InformationsverarbeitungKonzeptlernenkognitive Systemeworld modelingquantitative model evaluationconcept learningprobabilistic information processingcognitive systemsMaths for computer scientistsKuwertz Achim Christianauth1319584BOOK9910634082203321Adaptive Umweltmodellierung für kognitive Systeme in offener Welt durch dynamische Konzepte und quantitative Modellbewertung3033991UNINA