22 papers · ranked by Valyu relevance
Birger Johansson, Trond A. Tjøstheim, Christian Balkenius
System-level brain modeling is a powerful method for building computational models of the brain and allows biologically motivated models to produce measurable behavior that can be tested against empirical data. System-level brain models occupy an intermediate position between detailed neuronal circuit models and…
R. Bardini, G. Politano, A. Benso, S. Di Carlo
During the last decades, high-throughput techniques allowed for the extraction of a huge amount of data from biological systems, unveiling more of their underling complexity. Biological systems encompass a wide range of space and time scales, functioning according to flexible hierarchies of mechanisms making an…
Jie Deng, Washington Taylor, Serguei Saavedra
The persistence of virtually every single species depends on both the presence of other species and the heterogeneous environmental conditions. Because in natural settings many of these conditions are unknown, research has been centered on finding the fraction of possible conditions (probability) leading to species…
Lukyanenko, R., Pastor, O. + 2 more
Background: All aspects of our society, including the life sciences, need a mechanism for people working within them to represent the concepts they employ to carry out their research. For the information systems being designed and developed to support researchers and scientists in conducting their work, conceptual…
Richard Berlin, Russell Gruen, James Best
This paper presents a brief history of Systems Theory, progresses to Systems Biology, and its relation to the more traditional investigative method of reductionism. The emergence of Systems Medicine represents the application of Systems Biology to disease and clinical issues. The challenges faced by this transition…
Alexantrou Serb, Themistoklis Prodromakis
The field of artificial intelligence (AI) represents an enormous endeavour of humankind that is currently transforming our societies down to their very foundations. Its task, building truly intelligent systems, is underpinned by a vast array of subfields ranging from the development of new electronic components to…
Mora-Castro Alejandro, González-Herrera Andrés, Villalón-Fonseca Ricardo
'Villalón-Fonseca Ricardo'] Cybersecurity can be effectively managed with an architecture-based approach, composed with three viewpoints, namely system, security and process. Using models for describing a system and its security objectives enables a systemic and exhaustive risk management process. The architecture…
Cheng Tan
AI has begun to write systems code: agents now synthesize, verify, and deploy system components. Despite this shift, "AI-native" remains a marketing term with no precise technical definition. This paper gives it one. We define AI-nativeness along a single axis---authority over the system's own decisions rather than by…
Jerry Chen, Maysam Abbod, Jiann-Shing Shieh
The emulation of human behavior for autonomous problem solving has been an interdisciplinary field of research. Generally, classical control systems are used for static environments, where external disturbances and changes in internal parameters can be fully modulated before or neglected during operation. However…
Tony Brauer
While trying to represent patients in the design of integrated care, I have heard the words system, systemic and holism used frequently. Few of those using the words seem to be aware of the history of systems thinking, or its principles. Health interventions are instead designed using logic modelling, which is…
Yuval R. Zelnik, Nuria Galiana, Matthieu Barbier, Michel Loreau + 2 more
Are the population dynamics of species mainly determined by direct interactions with predators, preys and conspecifics? Or, instead, are those dynamics more dependent on indirect feedbacks that ripple across the whole interaction network? Here we show that, from a basic spectral feature of the interaction network, we…
Vincenzo De Florio
Classic approaches to General Systems Theory often adopt an individual perspective and a limited number of systemic classes. As a result, those classes include a wide number and variety of systems that result equivalent to each other. This paper presents a different approach: First, systems belonging to a same class…
Authors not listed
This article proposes a three-level classification of artificial intelligence (AI) application in chemical sciences, reflecting the increasing degree of technology involvement in scientific and production processes: from automation of routine tasks (the level of "AI Assistant"), to the creation of specialized…
George Ellis
The causal closure of physics is usually discussed in a context free way. Here I discuss it in the context of engineering systems and biology, where strong emergence takes place due to a combination of upwards emergence and downwards causation [Ellis 2020]. Firstly, I show that causal closure is strictly limited in…
Susanne Pettersson, Van M. Savage, Martin Nilsson Jacobi
Dynamical shifts between the extremes of stability and collapse are hallmarks of ecological systems. These shifts are limited by and change with biodiversity, complexity, and the topology and hierarchy of interactions. Most ecological research has focused on identifying conditions for a system to shift from stability…
Ned J H Wontner, Matthew Spencer
The super-organismal view of ecosystems has largely been superseded by the individualistic view. One consequence of the dominance of the individualistic view is that many modern ecologists treat ecosystems as nothing more than vectors of relative abundances, ignoring the potentially important idea that an understanding…
Trond Simensen, Rune Halvorsen, Lars Erikstad
A multitude of landscape characterisation and mapping methods exist, but few methods take into account that landscapes properties vary in a gradual, continuous manner along multiple directions of variation. In this study, we used gradient analytic methods, rooted in ecological continuum theory, to analyse landscape…
Lars Vogt
Background With the emergence of high-throughput technologies, Big Data and eScience, the use of online data repositories and the establishment of new data standards that require data to be computer-parsable become increasingly important. As a consequence, there is an increasing need for an integrated system of…
Authors not listed
This work establishes theoretical foundations for hierarchical quantum-classical algorithm design, where complex problems are decomposed across multiple spatial, temporal, or organizational scales with quantum and classical computation assigned to appropriate levels. We develop a mathematical framework that…
Susanne Pettersson, Martin Nilsson Jacobi
Understanding ecosystem stability and functioning is a long-standing goal in theoretical ecology, with one of the main tools being dynamical modelling of species abundances. With the help of dynamical population models limits to stability and regions of various ecosystem dynamics have been extensively mapped in terms…
Julien Moehlin, Bastien Mollet, Bruno Maria Colombo, Marco Antonio Mendoza-Parra
Developments on spatial transcriptomics (ST) are providing means to interrogate organ/tissue architecture from the angle of the gene programs defining their molecular complexity. However, computational methods to analyze ST data under-exploits the spatial signature retrieved within the maps. Inspired by contextual…
Andres M. Bran, Peter F. Stadler, Juergen Jost, Guillermo Restrepo
The periodic system emerges by intertwining order and similarity relationships among chemical elements, which in turn arise from known substances at a given time that constitute the chemical space. Although the system has been adjusted to accommodate new elements, the connection with the chemical space has been largely…