Syntactic and Semantic Relationships in Models of Complex Systems: An Ecological Case

In this paper, the authors extend and generalize the methodology based on the dynamics of systems with the use of differential equations as equations of state, allowing that first order transformed functions not only apply to the primitive or original variables, but also doing so to more complex expressions derived from them, and extending the rules that determine the generation of transformed superior to zero order (variable or primitive). Also, it is demonstrated that for all models of complex reality, there exists a complex model from the syntactic and semantic point of view. The theory is exemplified with a concrete model: MARIOLA model.

La infraestructura hidráulica y la gestión del agua en los regadíos tradicionales en la Vega Baja del Segura (Alicante)

La agricultura tradicional de la comarca de la Vega Baja del Segura se asienta sobre la llanura aluvial creada por el río a lo largo de la historia. Cuenta con una superficie regable de unos 190 km2 que se nutre con recursos propios de la cuenca del río Segura. Las aguas son desviadas del río mediante azudes y distribuidas, por simple gravedad, a través de un complejo sistema de acueductos, acequias y azarbes, que configuran sendas redes de aguas vivas y de aguas muertas, permitiendo la reutilización de las aguas. El presente trabajo tiene por finalidad el estudio de las infraestructuras hidráulicas y su papel en la gestión de los recursos hídricos para el riego en la comarca de la Vega Baja del Segura. A tal fin, se ha consultado la bibliografía y recabado información en diferentes juzgados de aguas, sindicatos de riego y comunidades de regantes, complementándose todo ello con visitas de campo para la toma de datos e imágenes. Los resultados obtenidos muestran una gestión eficiente de los escasos recursos hídricos disponibles y un aprovechamiento óptimo de los mismos, en cuanto que, al final, el sistema cede sus aguas sobrantes a otros regadíos para ser reutilizadas.

Data analysis using circular causality in networks

Complex systems in causal relationships are known to be circular rather than linear; this means that a particular result is not produced by a single cause, but rather that both positive and negative feedback processes are involved. However, although interpreting systemic interrelationships requires a language formed by circles, this has only been developed at the diagram level, and not from an axiomatic point of view. The first difficulty encountered when analysing any complex system is that usually the only data available relate to the various variables, so the first objective was to transform these data into cause-and-effect relationships. Once this initial step was taken, our discrete chaos theory could be applied by finding the causal circles that will form part of the system attractor and allow their behavior to be interpreted. As an application of the technique presented, we analyzed the system associated with the transcription factors of inflammatory diseases.

An introduction to alysidal algebra (V): phenomenological components

Purpose – This paper aims to refer to a subjective approach to a type of complex system: human ecosystems, referred to as deontical impure systems (DIS) to capture a set of properties fundamental to the distinction between human and natural ecosystems. There are four main phenomenological components: directionality, intensity, connection energy and volume. The paper establishes thermodynamics of deontical systems based on the Law of Zipf and the temperature of information. Design/methodology/approach – Mathematical and logical development of human society structure. Findings – A fundamental question in this approach to DIS is the intensity or forces of a relation. Concepts are introduced as the system volume and propose a system thermodynamic theory. It hints at the possibility of adapting the fractal theory by introducing the fractal dimension of the system. Originality/value – This paper is a continuation of other previous papers and developing the theory of DIS.

Coverage and invariability in fuzzy systems

This paper presents a new complex system systemic. Here, we are working in a fuzzy environment, so we have to adapt all the previous concepts and results that were obtained in a non-fuzzy environment, for this fuzzy case. The direct and indirect influences between variables will provide the basis for obtaining fuzzy and/or non-fuzzy relationships, so that the concepts of coverage and invariability between sets of variables will appear naturally. These two concepts and their interconnections will be analyzed from the viewpoint of algebraic properties of inclusion, union and intersection (fuzzy and non-fuzzy), and also for the loop concept, which, as we shall see, will be of special importance.