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.
CITATION STYLE
Treur, J. (2018). Relating an adaptive network’s structure to its emerging behaviour for Hebbian learning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11324 LNCS, pp. 359–373). Springer Verlag. https://doi.org/10.1007/978-3-030-04070-3_28
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