Relating an adaptive network’s structure to its emerging behaviour for Hebbian learning

Jan Treur

doi:10.1007/978-3-030-04070-3_28

Relating an adaptive network’s structure to its emerging behaviour for Hebbian learning

Jan Treur^*

^*Corresponding author for this work

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

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Abstract

In this paper it is analysed how emerging behaviour of an adaptive network can be related to characteristics of the adaptive network’s structure (which includes the adaptation structure). In particular, this is addressed for mental networks based on Hebbian learning. To this end relevant properties of the network and the adaptation that have been identified are discussed. As a result it has been found that in an achieved equilibrium state the value of a connection weight has a functional relation to the values of the connected states.

Original language	English
Title of host publication	Theory and Practice of Natural Computing
Subtitle of host publication	7th International Conference, TPNC 2018, Dublin, Ireland, December 12–14, 2018, Proceedings
Editors	Carlos Martín-Vide, Miguel A. Vega-Rodríguez, David Fagan, Michael O’Neill
Publisher	Springer - Verlag
Pages	359-373
Number of pages	15
ISBN (Electronic)	9783030040703
ISBN (Print)	9783030040697
DOIs	https://doi.org/10.1007/978-3-030-04070-3_28
Publication status	Published - 2018
Event	7th International Conference on the Theory and Practice of Natural Computing, TPNC 2018 - Dublin, Ireland Duration: 12 Dec 2018 → 14 Dec 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	11324 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on the Theory and Practice of Natural Computing, TPNC 2018
Country/Territory	Ireland
City	Dublin
Period	12/12/18 → 14/12/18

Keywords

Adaptive network
Analysis of behaviour
Hebbian learning

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10.1007/978-3-030-04070-3_28

Relating an Adaptive Network’s Structure to Its Emerging Behaviour for Hebbian LearningFinal published version, 390 KBLicence: Article 25fa Dutch Copyright Act

https://www.researchgate.net/publication/327644558_Relating_an_Adaptive_Network's_Structure_to_its_Emerging_Behaviour_for_Hebbian_learning

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Treur, J. (2018). Relating an adaptive network’s structure to its emerging behaviour for Hebbian learning. In C. Martín-Vide, M. A. Vega-Rodríguez, D. Fagan, & M. O’Neill (Eds.), Theory and Practice of Natural Computing: 7th International Conference, TPNC 2018, Dublin, Ireland, December 12–14, 2018, Proceedings (pp. 359-373). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11324 LNCS). Springer - Verlag. https://doi.org/10.1007/978-3-030-04070-3_28

Treur, Jan. / Relating an adaptive network’s structure to its emerging behaviour for Hebbian learning. Theory and Practice of Natural Computing: 7th International Conference, TPNC 2018, Dublin, Ireland, December 12–14, 2018, Proceedings. editor / Carlos Martín-Vide ; Miguel A. Vega-Rodríguez ; David Fagan ; Michael O’Neill. Springer - Verlag, 2018. pp. 359-373 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "In this paper it is analysed how emerging behaviour of an adaptive network can be related to characteristics of the adaptive network{\textquoteright}s structure (which includes the adaptation structure). In particular, this is addressed for mental networks based on Hebbian learning. To this end relevant properties of the network and the adaptation that have been identified are discussed. As a result it has been found that in an achieved equilibrium state the value of a connection weight has a functional relation to the values of the connected states.",

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year = "2018",

doi = "10.1007/978-3-030-04070-3_28",

language = "English",

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Treur, J 2018, Relating an adaptive network’s structure to its emerging behaviour for Hebbian learning. in C Martín-Vide, MA Vega-Rodríguez, D Fagan & M O’Neill (eds), Theory and Practice of Natural Computing: 7th International Conference, TPNC 2018, Dublin, Ireland, December 12–14, 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 11324 LNCS, Springer - Verlag, pp. 359-373, 7th International Conference on the Theory and Practice of Natural Computing, TPNC 2018, Dublin, Ireland, 12/12/18. https://doi.org/10.1007/978-3-030-04070-3_28

Relating an adaptive network’s structure to its emerging behaviour for Hebbian learning. / Treur, Jan.
Theory and Practice of Natural Computing: 7th International Conference, TPNC 2018, Dublin, Ireland, December 12–14, 2018, Proceedings. ed. / Carlos Martín-Vide; Miguel A. Vega-Rodríguez; David Fagan; Michael O’Neill. Springer - Verlag, 2018. p. 359-373 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11324 LNCS).

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

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Treur J. Relating an adaptive network’s structure to its emerging behaviour for Hebbian learning. In Martín-Vide C, Vega-Rodríguez MA, Fagan D, O’Neill M, editors, Theory and Practice of Natural Computing: 7th International Conference, TPNC 2018, Dublin, Ireland, December 12–14, 2018, Proceedings. Springer - Verlag. 2018. p. 359-373. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2018 Nov 22. doi: 10.1007/978-3-030-04070-3_28

Relating an adaptive network’s structure to its emerging behaviour for Hebbian learning

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