Modeling Higher-Order Adaptive Evolutionary Processes by Multilevel Adaptive Agent Models

Jan Treur

doi:10.1007/978-3-030-33792-6_35

Modeling Higher-Order Adaptive Evolutionary Processes by Multilevel Adaptive Agent Models

Jan Treur^*

^*Corresponding author for this work

Computer Science

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

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Abstract

_{In this paper a fourth-order adaptive agent model based on a multilevel reified network model is introduced to describe different orders of adaptivity of the agent?s biological embodiment, as found in a case study on evolutionary processes. The adaptive agent model describes how the causal pathways for newly developed features affect the causal pathways of already existing features. This makes these new features one order of adaptivity higher than the existing ones. A network reification approach is shown to be an adequate means to model this.}

Original language	English
Title of host publication	PRIMA 2019: Principles and Practice of Multi-Agent Systems
Subtitle of host publication	22nd International Conference, Turin, Italy, October 28–31, 2019, Proceedings
Editors	Matteo Baldoni, Mehdi Dastani, Beishui Liao, Yuko Sakurai, Rym Zalila Wenkstern
Publisher	Springer
Pages	505-513
Number of pages	9
ISBN (Electronic)	9783030337926
ISBN (Print)	9783030337919
DOIs	https://doi.org/10.1007/978-3-030-33792-6_35
Publication status	Published - 2019
Event	22nd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2019 - Turin, Italy Duration: 28 Oct 2019 → 31 Oct 2019

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11873 LNAI
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	22nd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2019
Country/Territory	Italy
City	Turin
Period	28/10/19 → 31/10/19

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10.1007/978-3-030-33792-6_35

Modeling Higher-Order Adaptive Evolutionary Processes by Multilevel Adaptive Agent ModelsFinal published version, 1.09 MBLicence: Article 25fa Dutch Copyright Act

https://www.researchgate.net/publication/335473231

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Treur, J. (2019). Modeling Higher-Order Adaptive Evolutionary Processes by Multilevel Adaptive Agent Models. In M. Baldoni, M. Dastani, B. Liao, Y. Sakurai, & R. Z. Wenkstern (Eds.), PRIMA 2019: Principles and Practice of Multi-Agent Systems: 22nd International Conference, Turin, Italy, October 28–31, 2019, Proceedings (pp. 505-513). (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_35

Treur, Jan. / Modeling Higher-Order Adaptive Evolutionary Processes by Multilevel Adaptive 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. 505-513 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Modeling Higher-Order Adaptive Evolutionary Processes by Multilevel Adaptive Agent Models",

abstract = "In this paper a fourth-order adaptive agent model based on a multilevel reified network model is introduced to describe different orders of adaptivity of the agent?s biological embodiment, as found in a case study on evolutionary processes. The adaptive agent model describes how the causal pathways for newly developed features affect the causal pathways of already existing features. This makes these new features one order of adaptivity higher than the existing ones. A network reification approach is shown to be an adequate means to model this.",

author = "Jan Treur",

year = "2019",

doi = "10.1007/978-3-030-33792-6_35",

language = "English",

isbn = "9783030337919",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

pages = "505--513",

editor = "Matteo Baldoni and Mehdi Dastani and Beishui Liao and Yuko Sakurai and Wenkstern, {Rym Zalila}",

booktitle = "PRIMA 2019: Principles and Practice of Multi-Agent Systems",

note = "22nd International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2019 ; Conference date: 28-10-2019 Through 31-10-2019",

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Treur, J 2019, Modeling Higher-Order Adaptive Evolutionary Processes by Multilevel Adaptive Agent Models. in M Baldoni, M Dastani, B Liao, Y Sakurai & RZ 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. 505-513, 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_35

Modeling Higher-Order Adaptive Evolutionary Processes by Multilevel Adaptive 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. 505-513 (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 proceeding › Conference contribution › Academic › peer-review

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Treur J. Modeling Higher-Order Adaptive Evolutionary Processes by Multilevel Adaptive Agent Models. In Baldoni M, Dastani M, Liao B, Sakurai Y, Wenkstern RZ, editors, PRIMA 2019: Principles and Practice of Multi-Agent Systems: 22nd International Conference, Turin, Italy, October 28–31, 2019, Proceedings. Springer. 2019. p. 505-513. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2019 Oct 21. doi: 10.1007/978-3-030-33792-6_35

Modeling Higher-Order Adaptive Evolutionary Processes by Multilevel Adaptive Agent Models

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