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 (auth)
Format: Electronic Book Chapter
Published: Karlsruhe KIT Scientific Publishing 2022
Series:Karlsruher Schriften zur Anthropomatik 57
Subjects:
Online Access:OAPEN Library: download the publication
OAPEN Library: description of the publication
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520 |a 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. 
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546 |a German 
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653 |a Umweltmodellierung 
653 |a quantitative Modellbewertung 
653 |a probabilistische Informationsverarbeitung 
653 |a Konzeptlernen 
653 |a kognitive Systeme 
653 |a world modeling 
653 |a quantitative model evaluation 
653 |a concept learning 
653 |a probabilistic information processing 
653 |a cognitive systems 
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