A Modeling Environment for Reified Temporal-Causal Networks: Modeling Plasticity and Metaplasticity in Cognitive Agent Models

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

Plasticity is a crucial adaptive characteristic of the brain. Relatively recently mechanisms have been found showing that plasticity itself is controlled by what is called metaplasticity. In this paper a modeling environment is introduced to develop and simulate reified temporal-causal network models that can be applied for cognitive agent models. It is shown how this environment is a useful tool to model plasticity combined with metaplasticity.

Original languageEnglish
Title of host publicationPRIMA 2019: Principles and Practice of Multi-Agent Systems
Subtitle of host publication22nd International Conference, Turin, Italy, October 28–31, 2019, Proceedings
EditorsMatteo Baldoni, Mehdi Dastani, Beishui Liao, Yuko Sakurai, Rym Zalila Wenkstern
PublisherSpringer
Pages487-495
Number of pages9
ISBN (Electronic)9783030337926
ISBN (Print)9783030337919
DOIs
Publication statusPublished - 2019
Event22nd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2019 - Turin, Italy
Duration: 28 Oct 201931 Oct 2019

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11873 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference22nd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2019
CountryItaly
CityTurin
Period28/10/1931/10/19

Fingerprint

Network Modeling
Plasticity
Modeling
Causal Model
Network Model
Brain
Model

Cite this

Treur, J. (2019). A Modeling Environment for Reified Temporal-Causal Networks: Modeling Plasticity and Metaplasticity in Cognitive Agent Models. In M. Baldoni, M. Dastani, B. Liao, Y. Sakurai, & R. Zalila Wenkstern (Eds.), PRIMA 2019: Principles and Practice of Multi-Agent Systems: 22nd International Conference, Turin, Italy, October 28–31, 2019, Proceedings (pp. 487-495). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11873 LNAI). Springer. https://doi.org/10.1007/978-3-030-33792-6_33
Treur, Jan. / A Modeling Environment for Reified Temporal-Causal Networks : Modeling Plasticity and Metaplasticity in Cognitive Agent Models. PRIMA 2019: Principles and Practice of Multi-Agent Systems: 22nd International Conference, Turin, Italy, October 28–31, 2019, Proceedings. editor / Matteo Baldoni ; Mehdi Dastani ; Beishui Liao ; Yuko Sakurai ; Rym Zalila Wenkstern. Springer, 2019. pp. 487-495 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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Treur, J 2019, A Modeling Environment for Reified Temporal-Causal Networks: Modeling Plasticity and Metaplasticity in Cognitive Agent Models. in M Baldoni, M Dastani, B Liao, Y Sakurai & R Zalila Wenkstern (eds), PRIMA 2019: Principles and Practice of Multi-Agent Systems: 22nd International Conference, Turin, Italy, October 28–31, 2019, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11873 LNAI, Springer, pp. 487-495, 22nd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2019, Turin, Italy, 28/10/19. https://doi.org/10.1007/978-3-030-33792-6_33

A Modeling Environment for Reified Temporal-Causal Networks : Modeling Plasticity and Metaplasticity in Cognitive Agent Models. / Treur, Jan.

PRIMA 2019: Principles and Practice of Multi-Agent Systems: 22nd International Conference, Turin, Italy, October 28–31, 2019, Proceedings. ed. / Matteo Baldoni; Mehdi Dastani; Beishui Liao; Yuko Sakurai; Rym Zalila Wenkstern. Springer, 2019. p. 487-495 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11873 LNAI).

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Treur J. A Modeling Environment for Reified Temporal-Causal Networks: Modeling Plasticity and Metaplasticity in Cognitive Agent Models. In Baldoni M, Dastani M, Liao B, Sakurai Y, Zalila Wenkstern R, editors, PRIMA 2019: Principles and Practice of Multi-Agent Systems: 22nd International Conference, Turin, Italy, October 28–31, 2019, Proceedings. Springer. 2019. p. 487-495. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-030-33792-6_33