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

• Autor principal: Kuwertz, Achim Christian (auth)
• Formato: Recurso Eletrônico Capítulo de Livro
• Publicado em: Karlsruhe KIT Scientific Publishing 2022
• coleção: Karlsruher Schriften zur Anthropomatik 57
• Assuntos: Maths for computer scientists; Umweltmodellierung; quantitative Modellbewertung; probabilistische Informationsverarbeitung; Konzeptlernen; kognitive Systeme; world modeling; quantitative model evaluation; concept learning; probabilistic information processing; cognitive systems
• Acesso em linha: OAPEN Library: download the publication; OAPEN Library: description of the publication

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.