Complexes

In recent years, we have heard more and more about complexity. However, it seems that given the increasing discourse divergence on this topic, instead of generating knowledge we are generating confusion. This paper offers a perspective to speak clearly about complexity from an epistemological point of view. En años recientes hemos escuchado hablar más y más sobre complejidad. Pero pareciera que al haber una diversidad creciente de discursos sobre el tema, en lugar de generar conocimiento estamos generando confusión. En este artículo se ofrece una perspectiva para hablar claramente sobre la complejidad desde un punto de vista epistemológico. En els últims anys s'ha sentit parlar cada cop més de complexitat. Tot i això, com que hi ha una diversitat creixent de discursos sobre aquest tema, en lloc de generar coneixement, estem generant confusió. En aquest article s'ofereix una perspectiva per parlar clarament sobre complexitat des d'un punt de vista epistemològic. Gershe

This article presents an overview of current and potential applications of living technology to some urban problems. Living technology can be described as technology that exhibits the core features of living systems. These features can be useful to solve dynamic problems. In particular, urban problems concerning mobility, logistics, telecommunications, governance, safety, sustainability, and society and culture are presented, and solutions involving living technology are reviewed. A methodology for developing living technology is mentioned, and supraoptimal public transportation systems are used as a case study to illustrate the benefits of urban living technology. Finally, the usefulness of describing cities as living systems is discussed. Gershenson, C. (2013). Living in living cities. Artificial Life , 19  (3 & 4): 401–420. http://www.mitpressjournals.org/doi/abs/10.1162/ARTL_a_00112   Free Access Related to this  TED@SãoPaulo talk . Check the rest of the papers of thi

This chapter reviews the purpose and use of models from the field of complex systems and, in particular, the implications of trying to use models to understand or make decisions within complex situations, such as policy makers usually face. A discussion of the different dimensions one can formalise situations, the different purposes for models and the different kinds of relationship they can have with the policy making process, is followed by an examination of the compromises forced by the complexity of the target issues. Several modelling approaches from complexity science are briefly described, with notes as to their abilities and limitations. These approaches include system dynamics, network theory, information theory, cellular automata, and agent-based modelling. Some examples of policy models are presented and discussed in the context of the previous analysis. Finally we conclude by outlining some of the major pitfalls facing those wishing to use such models for policy evaluation.

Seminario en la Universidad de Barcelona, 2013-09-20.

The Computer Science Department of the Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas (IIMAS) of the Universidad Nacional Autónoma de México  (UNAM) has a open call for research professors. Located in the heart of the UNAM's Ciudad Universitaria, a UNESCO World Heritage site, the IIMAS has been the leader in computer science in Mexico since the first computer in the country was acquired by UNAM. Researchers at UNAM have a privileged position for several reasons. UNAM is the highest ranked spanish speaking higher education institution in the world and produces half of the research in Mexico and is the largest in the continent (300K+ students). Professors in faculties do more teaching than research, while researchers in institutes (such as IIMAS) do more research than teaching (about 48 hours per year, usually to the best graduate students in the country. Groups of more than five students get a teaching assistant). Students in most graduate programs at UNAM