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

Jan Treur

doi:10.1007/978-3-030-65351-4_21

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

Jan Treur

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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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 language	English
Title of host publication	Complex Networks and Their Applications IX
Subtitle of host publication	Volume 2, Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020
Editors	Rosa M. Benito, Chantal Cherifi, Hocine Cherifi, Esteban Moro, Luis Mateus Rocha, Marta Sales-Pardo
Publisher	Springer Nature Switzerland AG
Pages	260-274
Number of pages	15
Volume	2
ISBN (Electronic)	9783030653514
ISBN (Print)	9783030653507, 9783030653538
DOIs	https://doi.org/10.1007/978-3-030-65351-4_21
Publication status	Published - 2021
Event	9th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2020 - Madrid, Spain Duration: 1 Dec 2020 → 3 Dec 2020

Publication series

Name	Studies in Computational Intelligence
Volume	944
ISSN (Print)	1860-949X
ISSN (Electronic)	1860-9503

Conference

Conference	9th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2020
Country/Territory	Spain
City	Madrid
Period	1/12/20 → 3/12/20

Access to Document

10.1007/978-3-030-65351-4_21

Treur2021_Chapter_Self-modelingNetworksUsingAdaptiveInternalMentalModelsFinal published version, 1.65 MBLicence: Article 25fa Dutch Copyright Act

https://www.researchgate.net/publication/344165044

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Treur, J. (2021). Self-Modeling Networks Using Adaptive Internal Mental Models for Cognitive Analysis and Support Processes. In R. M. Benito, C. Cherifi, H. Cherifi, E. Moro, L. M. Rocha, & M. Sales-Pardo (Eds.), Complex Networks and Their Applications IX: Volume 2, Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020 (Vol. 2, pp. 260-274). (Studies in Computational Intelligence; Vol. 944). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-030-65351-4_21

Treur, Jan. / Self-Modeling Networks Using Adaptive Internal Mental Models for Cognitive Analysis and Support Processes. Complex Networks and Their Applications IX: Volume 2, Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020. editor / Rosa M. Benito ; Chantal Cherifi ; Hocine Cherifi ; Esteban Moro ; Luis Mateus Rocha ; Marta Sales-Pardo. Vol. 2 Springer Nature Switzerland AG, 2021. pp. 260-274 (Studies in Computational Intelligence).

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title = "Self-Modeling Networks Using Adaptive Internal Mental Models for Cognitive Analysis and Support Processes",

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. ",

author = "Jan Treur",

year = "2021",

doi = "10.1007/978-3-030-65351-4\_21",

language = "English",

isbn = "9783030653507",

volume = "2",

series = "Studies in Computational Intelligence",

publisher = "Springer Nature Switzerland AG",

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editor = "Benito, \{Rosa M.\} and Chantal Cherifi and Hocine Cherifi and Esteban Moro and Rocha, \{Luis Mateus\} and Marta Sales-Pardo",

booktitle = "Complex Networks and Their Applications IX",

note = "9th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2020 ; Conference date: 01-12-2020 Through 03-12-2020",

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Treur, J 2021, Self-Modeling Networks Using Adaptive Internal Mental Models for Cognitive Analysis and Support Processes. in RM Benito, C Cherifi, H Cherifi, E Moro, LM Rocha & M Sales-Pardo (eds), Complex Networks and Their Applications IX: Volume 2, Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020. vol. 2, Studies in Computational Intelligence, vol. 944, Springer Nature Switzerland AG, pp. 260-274, 9th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2020, Madrid, Spain, 1/12/20. https://doi.org/10.1007/978-3-030-65351-4_21

Self-Modeling Networks Using Adaptive Internal Mental Models for Cognitive Analysis and Support Processes. / Treur, Jan.
Complex Networks and Their Applications IX: Volume 2, Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020. ed. / Rosa M. Benito; Chantal Cherifi; Hocine Cherifi; Esteban Moro; Luis Mateus Rocha; Marta Sales-Pardo. Vol. 2 Springer Nature Switzerland AG, 2021. p. 260-274 (Studies in Computational Intelligence; Vol. 944).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AB - 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.

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DO - 10.1007/978-3-030-65351-4_21

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Treur J. Self-Modeling Networks Using Adaptive Internal Mental Models for Cognitive Analysis and Support Processes. In Benito RM, Cherifi C, Cherifi H, Moro E, Rocha LM, Sales-Pardo M, editors, Complex Networks and Their Applications IX: Volume 2, Proceedings of the Ninth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2020. Vol. 2. Springer Nature Switzerland AG. 2021. p. 260-274. (Studies in Computational Intelligence). Epub 2021 Jan 5. doi: 10.1007/978-3-030-65351-4_21

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

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