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 publicationProceedings of the 9th International Conference on Complex Networks and their Applications
EditorsR.M. Benito, C. Cherifi, H. Cherifi, E. Moro, L.M. Rocha, M. Sales-Pardo
PublisherSpringer Nature Switzerland AG
Pages260-274
ISBN (Print)9783030653507
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
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Conference

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

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