Adaptive Umweltmodellierung für kognitive Systeme in offener Welt durch dynamische Konzepte und quantitative Modellbewertung

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...

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Main Author: Kuwertz, Achim Christian
Format: Online
Language:German
Published: KIT Scientific Publishing 2022
Subjects:
Online Access:ONIX_20221205_9783731512196_10
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author Kuwertz, Achim Christian
author_browse Kuwertz, Achim Christian
author_facet Kuwertz, Achim Christian
author_sort Kuwertz, Achim Christian
collection Directory of Open Access Books
description 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.
format Online
id doab-20.500.12854ir-94460
institution Directory of Open Access Books
language ger
publishDate 2022
publishDateRange 2022
publishDateSort 2022
publisher KIT Scientific Publishing
publisherStr KIT Scientific Publishing
record_format ojs
spelling doab-20.500.12854ir-944602025-08-13T13:41:52Z Adaptive Umweltmodellierung für kognitive Systeme in offener Welt durch dynamische Konzepte und quantitative Modellbewertung Kuwertz, Achim Christian Umweltmodellierung quantitative Modellbewertung probabilistische Informationsverarbeitung Konzeptlernen kognitive Systeme world modeling quantitative model evaluation concept learning probabilistic information processing cognitive systems thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists 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. 2022-12-06T04:01:58Z 2022-12-06T04:01:58Z 2022-12-05T15:40:40Z 2022 book ONIX_20221205_9783731512196_10 1863-6489 https://library.oapen.org/handle/20.500.12657/59837 9783731512196 https://directory.doabooks.org/handle/20.500.12854/94460 ger Karlsruher Schriften zur Anthropomatik open access image/jpeg image/jpeg image/jpeg n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/59837/1/9783731512196.pdf https://library.oapen.org/bitstream/20.500.12657/59837/1/9783731512196.pdf https://library.oapen.org/bitstream/20.500.12657/59837/1/9783731512196.pdf KIT Scientific Publishing KIT Scientific Publishing 10.5445/KSP/1000148667 10.5445/KSP/1000148667 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731512196 AG Universitätsverlage KIT Scientific Publishing 440 Karlsruhe open access
spellingShingle Umweltmodellierung
quantitative Modellbewertung
probabilistische Informationsverarbeitung
Konzeptlernen
kognitive Systeme
world modeling
quantitative model evaluation
concept learning
probabilistic information processing
cognitive systems
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists
Kuwertz, Achim Christian
Adaptive Umweltmodellierung für kognitive Systeme in offener Welt durch dynamische Konzepte und quantitative Modellbewertung
title Adaptive Umweltmodellierung für kognitive Systeme in offener Welt durch dynamische Konzepte und quantitative Modellbewertung
title_full Adaptive Umweltmodellierung für kognitive Systeme in offener Welt durch dynamische Konzepte und quantitative Modellbewertung
title_fullStr Adaptive Umweltmodellierung für kognitive Systeme in offener Welt durch dynamische Konzepte und quantitative Modellbewertung
title_full_unstemmed Adaptive Umweltmodellierung für kognitive Systeme in offener Welt durch dynamische Konzepte und quantitative Modellbewertung
title_short Adaptive Umweltmodellierung für kognitive Systeme in offener Welt durch dynamische Konzepte und quantitative Modellbewertung
title_sort adaptive umweltmodellierung fur kognitive systeme in offener welt durch dynamische konzepte und quantitative modellbewertung
topic Umweltmodellierung
quantitative Modellbewertung
probabilistische Informationsverarbeitung
Konzeptlernen
kognitive Systeme
world modeling
quantitative model evaluation
concept learning
probabilistic information processing
cognitive systems
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists
topic_facet Umweltmodellierung
quantitative Modellbewertung
probabilistische Informationsverarbeitung
Konzeptlernen
kognitive Systeme
world modeling
quantitative model evaluation
concept learning
probabilistic information processing
cognitive systems
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists
thema EDItEUR::U Computing and Information Technology::UY Computer science::UYA Mathematical theory of computation::UYAM Maths for computer scientists
url ONIX_20221205_9783731512196_10
work_keys_str_mv AT kuwertzachimchristian adaptiveumweltmodellierungfurkognitivesystemeinoffenerweltdurchdynamischekonzepteundquantitativemodellbewertung