@inproceedings{738c2cc7678142a0b8aa29cd7f09e99d,
title = "Contextual Random Boolean Networks",
abstract = "We propose the use of Deterministic Generalized Asynchronous Random Boolean Networks [1] as models of contextual deterministic discrete dynamical systems. We show that changes in the context have drastic effects on the global properties of the same networks, namely the average number of attractors and the average percentage of states in attractors. We introduce the situation where we lack knowledge on the context as a more realistic model for contextual dynamical systems. We notice that this makes the network non-deterministic in a specific way, namely introducing a non-Kolmogorovian quantum-like structure for the modelling of the network [2]. In this case, for example, a state of the network has the potentiality (probability) of collapsing into different attractors, depending on the specific form of lack of knowledge on the context.",
author = "Carlos Gershenson and Jan Broekaert and Diederik Aerts",
note = "Publisher Copyright: {\textcopyright} Springer-Verlag Berlin Heidelberg 2003.; 7th European Conference on Artificial Life, ECAL 2003 ; Conference date: 14-09-2003 Through 17-09-2003",
year = "2003",
doi = "10.1007/978-3-540-39432-7\_66",
language = "English",
isbn = "3540200576",
series = "Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)",
publisher = "Springer Verlag",
pages = "615--624",
editor = "Wolfgang Banzhaf and Jens Ziegler and Thomas Christaller and Peter Dittrich and Kim, \{Jan T.\}",
booktitle = "Advances in Artificial Life",
}