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Introduction to the Proceedings of “Complexity-disorder” days
The common use of several disciplines for the realization of practical purposes and their usual coworking favour such meetings involving different disciplines. Some old and recent successful examples of effective interferences between different disciplines are reported in order to evidence the potential fruitfulness of this process. The theme complexity and disorder are shown to be a central point of convergence between disciplines shown from the observation of past and future projects.
Journal Article
LA DIMENSIÓN LÚDICA DE LA OBRA ARQUITECTÓNICA DE LINA BO BARDI
This article traces the life and work of architect Lina Bo Bardi to explore the more humane, free, unprejudiced and playful side of her architectural work. This will lead us to unveil a much more complex past than one might initially think, where the architect applies a particular human sensitivity that is perceptible in all of her work and where people stand at the centre of her priorities. Behind her wild fantasy and imagination lies the complexity and depth of focused, conscientious, coherent, self-critical and socially committed work. This has produced an open, porous architecture that ties in the joy and unpredictable essence of everyday life, nourishing collective spaces and embracing people's way of life.
Journal Article
Evolution Equations Exhibiting H-Theorems related to the LMC Statistical Measures of Complexity
The LMC statistical measure of complexity (and other related measures that, in this work, are collectively referred to as “LMC measures”) have been applied, by researchers in physics and other areas, to the study of diverse problems. In spite of the intriguing results reported in those studies, relatively little attention has been devoted to characterize what types of dynamics lead to the optimization of the LMC measures. As a first, exploratory step in that direction, we consider an example of a family of evolution equations admitting an
H
-like theorem related to the LMC measures.
Journal Article
Exploring Overall and Component Complexities via Relative Complexity Change and Interacting Complexity Amplitudes in the Kolmogorov Plane: A Case Study of U.S. Rivers
One of the most challenging tasks in studying streamflow is quantifying how the complexities of environmental and dynamic parameters contribute to the overall system complexity. To address this, we employed Kolmogorov complexity (KC) metrics, specifically the Kolmogorov complexity spectrum (KC spectrum) and the Kolmogorov complexity plane (KC plane). These measures were applied to monthly streamflow time series averaged across 1879 gauge stations on U.S. rivers over the period 1950–2015. The variables analyzed included streamflow as a complex physical system, along with its key components: temperature, precipitation, and the Lyapunov exponent (LEX), which represents river dynamics. Using these metrics, we calculated normalized KC spectra for each position within the KC plane, visualizing interactive master amplitudes alongside individual amplitudes on overlapping two-dimensional planes. We further computed the relative change in complexities (RCC) of the normalized master and individual components within the KC plane, ranging from 0 to 1 in defined intervals. Based on these results, we analyzed and discussed the complexity patterns of U.S. rivers corresponding to each interval of normalized amplitudes.
Journal Article
Assessing the Role of Socio-Demographic Triggers on Kolmogorov-Based Complexity in Spoken English Varieties
This paper assesses the role of socio-demographic triggers on Kolmogorov-based complexity in spoken English varieties. It thus contributes to the ongoing debate on contact and complexity in the sociolinguistic typological research community. Currently, evidence on whether socio-demographic triggers influence the morphosyntactic complexity of languages is controversial and inconclusive. Particularly controversial is the influence of the proportion of non-native speakers and the number of native speakers, which are both common proxies for language contact. In order to illuminate the issue from an English-varieties perspective, I use regression analysis to test several socio-demographic triggers in a corpus database of spoken English varieties. Language complexity here is operationalised in terms of Kolmogorov-based morphological and syntactic complexity. The results only partially support the idea that socio-demographic triggers influence morphosyntactic complexity in English varieties, i.e., speaker-related triggers turn out to be negative but non-significant. Yet, net migration rate shows a positive significant effect on morphological complexity which needs to be seen in the global context of English as a commodity and unequal access to English. I thus argue that socioeconomic triggers are better predictors for complexity than demographic speaker numbers. In sum, the paper opens up new horizons for research on language complexity.
Journal Article