Self-Modeling Networks Using Adaptive Internal Mental Models for Cognitive Analysis and Support Processes

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Abstract

In this paper, an adaptive network model is presented for cognitive analysis and support processes for the situation and states of a human, illustrated for a car driver. The adap-tive network model makes use of first-order self-models for the internal mental models used for the cognitive analysis and support processes. To obtain adaptation of these first-order self-models, second-order self-models are included. The adaptive network model is illustrated for realistic scenarios for a car driver.
Original languageEnglish
Title of host publicationComplex Networks and Their Applications IX
Subtitle of host publicationVolume 2, Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020
EditorsRosa M. Benito, Chantal Cherifi, Hocine Cherifi, Esteban Moro, Luis Mateus Rocha, Marta Sales-Pardo
PublisherSpringer Nature Switzerland AG
Pages260-274
Number of pages15
Volume2
ISBN (Electronic)9783030653514
ISBN (Print)9783030653507, 9783030653538
DOIs
Publication statusPublished - 2021
Event9th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2020 - Madrid, Spain
Duration: 1 Dec 20203 Dec 2020

Publication series

NameStudies in Computational Intelligence
Volume944
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Conference

Conference9th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2020
Country/TerritorySpain
CityMadrid
Period1/12/203/12/20

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