Switch to: References

Add citations

You must login to add citations.
  1. Self-Organization in Network Sociotechnical Systems.Svetlana Maltseva, Vasily Kornilov & Vladimir Barakhnin - 2022 - Complexity 2022:1-24.
    We can observe self-organization properties in various systems. However, modern networked dynamical sociotechnical systems have some features that allow for realizing the benefits of self-organization in a wide range of systems in economic and social areas. The review examines the general principles of self-organized systems, as well as the features of the implementation of self-organization in sociotechnical systems. We also delve into the production systems, in which the technical component is decisive, and social networks, in which the social component dominates; (...)
    Download  
     
    Export citation  
     
    Bookmark  
  • An enduring philosophical agenda. Worldview construction as a philosophical method.Vidal Clément - 2007
    Is there such a thing as a philosophical method? It seems that there are as many philosophical methods as there are philosophies. A method is any procedure employed to achieve a certain aim. So, before proposing a method, we have to tackle the delicate question: “what is the aim of philosophy?”. At the origin of philosophy, there is a questioning about the world. The worldview approach developed by Leo Apostel elegantly explicit those fundamental questions. As we answer them, we come (...)
    Download  
     
    Export citation  
     
    Bookmark   2 citations  
  • The sigma profile: A formal tool to study organization and its evolution at multiple scales.Carlos Gershenson - 2011 - Complexity 16 (5):37-44.
    The σ profile is presented as a tool to analyze the organization of systems at different scales, and how this organization changes in time. Describing structures at different scales as goal‐oriented agents, one can define σ ∈ [0,1] (satisfaction) as the degree to which the goals of each agent at each scale have been met. σ reflects the organization degree at that scale. The σ profile of a system shows the satisfaction at different scales, with the possibility to study their (...)
    Download  
     
    Export citation  
     
    Bookmark   6 citations  
  • Complexity and information: Measuring emergence, self‐organization, and homeostasis at multiple scales.Carlos Gershenson & Nelson Fernández - 2013 - Complexity 18 (2):29-44.
    Download  
     
    Export citation  
     
    Bookmark   18 citations  
  • The Implications of Interactions for Science and Philosophy.Carlos Gershenson - 2013 - Foundations of Science 18 (4):781-790.
    Reductionism has dominated science and philosophy for centuries. Complexity has recently shown that interactions—which reductionism neglects—are relevant for understanding phenomena. When interactions are considered, reductionism becomes limited in several aspects. In this paper, I argue that interactions imply nonreductionism, non-materialism, non-predictability, non-Platonism, and non-Nihilism. As alternatives to each of these, holism, informism, adaptation, contextuality, and meaningfulness are put forward, respectively. A worldview that includes interactions not only describes better our world, but can help to solve many open scientific, philosophical, and (...)
    Download  
     
    Export citation  
     
    Bookmark   7 citations  
  • Self‐organizing traffic lights at multiple‐street intersections.Carlos Gershenson & David A. Rosenblueth - 2012 - Complexity 17 (4):23-39.
    Download  
     
    Export citation  
     
    Bookmark   3 citations  
  • The world as evolving information.Dr Carlos Gershenson - unknown
    This paper discusses the benefits of describing the world as information, especially in the study of the evolution of life and cognition. Traditional studies encounter problems because it is difficult to describe life and cognition in terms of matter and energy, since their laws are valid only at the physical scale. However, if matter and energy, as well as life and cognition, are described in terms of information, evolution can be described consistently as information becoming more complex. The paper presents (...)
    Download  
     
    Export citation  
     
    Bookmark   3 citations