03133nas a2200253   4500008004100000020001400041245005000055210005000105260000600155300001100161490000700172520244900179653001602628653001802644653001402662653001602676653002302692653002202715100002302737700001902760700002602779700002302805856005102828       2017                        eng d  a1476-945X00aComplexity of lakes in a latitudinal gradient0 aComplexity of lakes in a latitudinal gradient  c9  a1–200 v313 aMeasuring complexity is fast becoming a key instrument to compare different ecosystems at various scales in ecology. To date there has been little agreement on how to properly describe complexity in terms of ecology. In this regard, this manuscript assesses the significance of using a set of proposed measures based on information theory. These measures are as follows: emergence, self-organization, complexity, homeostasis and autopoiesis. A combination of quantitative and qualitative approaches was used in the data analysis with the aim to apply these proposed measures. This study systematically reviews the data previously collected and generated by a model carried out on four aquatic ecosystems located between the Arctic region and the tropical zone. Thus, this research discusses the case of exploring a high level of self-organization in terms of movement, distribution, and quality of water between the northern temperate zone and the tropics. Moreover, it was assessed the significance of the presence of a complex variable (pH) in the middle of the latitudinal transect. Similarly, this study explores the relationship between self-organization and limiting nutrients (nitrogen, phosphorus and silicates). Furthermore, the importance of how a biomass subsystem is affected by seasonal variations is highlighted in this manuscript. This case study seeks to examine the changing nature of how seasonality affects the complexity dynamics of photosynthetic taxa (lakes located in northern temperate zone) at high latitudes, and it also investigates how a high level of self-organization at the tropical zone can lead to increase the amount of planktonic and benthic fish which determines the dynamics of complexity. This research also compares the emerging role of how a biomass subsystem has a highest temporal dynamics compared to he limiting nutrients' subsystem. In the same way, the results associated to autopoiesis reflect a moderate degree of autonomy of photosynthetic biomass. It is also discussed the case of how complexity values change in the middle of the latitudinal gradient for all components. Finally, a comparison with Tsallis information was carried out in order to determine that these proposed measures are more suitable due to they are independent of any other parameter. Thus, this approach considers some elements closely related to information theory which determine and better describe ecological dynamics.10aAutopoiesis10aBiocomplexity10aEmergence10aHomeostasis10aInformation theory10aSelf-organization1 aFernández, Nelson1 aAguilar, José1 aPiña-García, C., A.1 aGershenson, Carlos  uhttp://dx.doi.org/10.1016/j.ecocom.2017.02.00201883nas a2200229   4500008004100000020001400041245008700055210006900142260000600211300001400217490000700231520113700238653002301375653002401398653003101422653003001453653002701483100002701510700002601537700001901563856007101582       2016                        eng d  a0960-148100aWind speed forecasting for wind farms: A method based on support vector regression0 aWind speed forecasting for wind farms A method based on support   c1  a790–8090 v853 aIn this paper, a hybrid methodology based on Support Vector Regression for wind speed forecasting is proposed. Using the autoregressive model called Time Delay Coordinates, feature selection is performed by the Phase Space Reconstruction procedure. Then, a Support Vector Regression model is trained using univariate wind speed time series. Parameters of Support Vector Regression are tuned by a genetic algorithm. The proposed method is compared against the persistence model, and autoregressive models (AR, ARMA, and ARIMA) tuned by Akaike's Information Criterion and Ordinary Least Squares method. The stationary transformation of time series is also evaluated for the proposed method. Using historical wind speed data from the Mexican Wind Energy Technology Center (CERTE) located at La Ventosa, Oaxaca, México, the accuracy of the proposed forecasting method is evaluated for a whole range of short termforecasting horizons (from 1 to 24 h ahead). Results show that, forecasts made with our method are more accurate for medium (5–23 h ahead) short term WSF and WPF than those made with persistence and autoregressive models.10aGenetic algorithms10aNon-linear analysis10aPhase space reconstruction10aSupport vector regression10aWind speed forecasting1 aSantamaría-Bonfil, G.1 aReyes-Ballesteros, A.1 aGershenson, C.  uhttp://www.sciencedirect.com/science/article/pii/S096014811530101401124nas a2200157   4500008004100000245002800041210002800069490001300097520073900110653001100849653002200860653001200882653001400894100002300908856003500931       2013                        eng d00aLiving in Living Cities0 aLiving in Living Cities0 vIn Press3 a<p>This paper presents and overview of current and potential applications of living technology to 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, while solutions involving living technology are reviewed. A methodology for developing living technology is mentioned, while self-organizing traffic lights are used as a case study of the benefits of urban living technology. Finally, the usefulness of describing cities as living systems is discussed.</p>
10acities10aSelf-organization10atraffic10atransport1 aGershenson, Carlos  uhttp://arxiv.org/abs/1111.365902024nam a2200157   4500008004100000020002200041245005000063210004900113260002600162520156600188653002201754653001201776653002201788100002301810856003301833       2007                        eng d  a978-0-9831172-3-000aDesign and Control of Self-organizing Systems0 aDesign and Control of Selforganizing Systems  aMexicobCopIt Arxives3 aComplex systems are usually difficult to design and control. There are several particular methods for coping with complexity, but there is no general approach to build complex systems. In this book I pro- pose a methodology to aid engineers in the design and control of com- plex systems. This is based on the description of systems as self- organizing. Starting from the agent metaphor, the methodology pro- poses a conceptual framework and a series of steps to follow to find proper mechanisms that will promote elements to find solutions by ac- tively interacting among themselves. The main premise of the method- ology claims that reducing the "friction" of interactions between el- ements of a system will result in a higher "satisfaction" of the system, i.e. better performance. A general introduction to complex thinking is given, since designing self-organizing systems requires a non-classical thought, while prac- tical notions of complexity and self-organization are put forward. To illustrate the methodology, I present three case studies. Self-organizing traffic light controllers are proposed and studied with multi-agent simulations, outperforming traditional methods. Methods for im- proving communication within self-organizing bureaucracies are ad- vanced, introducing a simple computational model to illustrate the benefits of self-organization. In the last case study, requirements for self-organizing artifacts in an ambient intelligence scenario are dis- cussed. Philosophical implications of the conceptual framework are also put forward.10aComplexity Theory10aPhysics10aSelf-organization1 aGershenson, Carlos  uhttp://tinyurl.com/DCSOS2007