%0 Book %B Worldviews, Science and Us %D 2007 %T Philosophy and Complexity %E Carlos Gershenson %E Diederik Aerts %E Bruce Edmonds %X Scientific, technological, and cultural changes have always had an impact upon philosophy. They can force a change in the way we perceive the world, reveal new kinds of phenomena to be understood, and provide new ways of understanding phenomena. Complexity science, immersed in a culture of information, is having a diverse but particularly significant impact upon philosophy. Previous ideas do not necessarily sit comfortably with the new paradigm, resulting in new ideas or new interpretations of old ideas. In this unprecedented interdisciplinary volume, researchers from different backgrounds join efforts to update thinking upon philosophical questions with developments in the scientific study of complex systems. The contributions focus on a wide range of topics, but share the common goal of increasing our understanding and improving our descriptions of our complex world. This revolutionary debate includes contributions from leading experts, as well as young researchers proposing fresh ideas. %B Worldviews, Science and Us %I World Scientific %C Singapore %G eng %U http://www.worldscibooks.com/chaos/6372.html %0 Conference Paper %B Advances in Artificial Life, 7th European Conference, {ECAL} 2003 {LNAI} 2801 %D 2003 %T Contextual Random {Boolean} Networks %A Carlos Gershenson %A Jan Broekaert %A Diederik Aerts %E Banzhaf, W %E T. Christaller %E P. Dittrich %E J. T. Kim %E J. Ziegler %X We propose the use of Deterministic Generalized Asynchronous Random Boolean Networks (Gershenson, 2002) 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 (Aerts 1986). 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. %B Advances in Artificial Life, 7th European Conference, {ECAL} 2003 {LNAI} 2801 %I Springer-Verlag %P 615–624 %G eng %U http://uk.arxiv.org/abs/nlin.AO/0303021