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  1. Sequence Complexity in Darwinian Evolution.Christoph Adami - 2002 - Complexity 8 (2):49-56.
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  2. What is Complexity?Christoph Adami - 2002 - Bioessays 24 (12):1085-1094.
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  3. Energy, Complexity, and Strategies of Evolution: As Illustrated by Maya Indians of Guatemala.Richard N. Adams - 2010 - World Futures 66 (7):470-503.
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  4. Adolf Meyer-Abich, Holism, and the Negotiation of Theoretical Biology.Kevin S. Amidon - 2008 - Biological Theory 3 (4):357-370.
    Adolf Meyer-Abich spent his career as one of the most vigorous and varied advocates in the biological sciences. Primarily a philosophical proponent of holistic thought in biology, he also sought through collaboration with empirically oriented colleagues in biology, medicine, and even physics to develop arguments against mechanistic and reductionistic positions in the life sciences, and to integrate them into a newly disciplinary theoretical biology. He participated in major publishing efforts including the founding of Acta Biotheoretica. He also sought international contacts (...)
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  5. Of Ants and Men: Self-Organized Teams in Human and Insect Organizations.Carl Anderson & Elizabeth McMillan - 2003 - Emergence: Complexity and Organization 5 (2):29-41.
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  6. Lexicon of Complexity.F. T. Arecchi, A. Farini & P. Musso - 1997 - Epistemologia 20 (1).
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  7. Multicellular Agency: An Organizational View.Argyris Arnellos & Alvaro Moreno - 2015 - Biology and Philosophy 30 (3):333-357.
    We argue that the transition from unicellular to multicellular systems raises important conceptual challenges for understanding agency. We compare several MC systems displaying different forms of collective behavior, and we analyze whether these actions can be considered organismically integrated and attributable to the whole. We distinguish between a ‘constitutive’ and an ‘interactive’ dimension of organizational complexity, and we argue that MC agency requires a radical entanglement between the related processes which we call “the constitutive-interactive closure principle”. We explain in detail (...)
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  8. Life and the Homeostatic Organization View of Biological Phenomena.Robert Arp - 2008 - Cosmos and History: The Journal of Natural and Social Philosophy 4 (1-2):260-285.
    In this paper, I argue that starting with the organelles that constitute a cell – and continuing up the hierarchy of components in processes and subsystems of an organism – there are clear instances of emergent biological phenomena that can be considered “living” entities. These components and their attending processes are living emergent phenomena because of the way in which the components are organized to maintain homeostasis of the organism at the various levels in the hierarchy. I call this view (...)
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  9. Performance Control of Biological and Societal Systems.Ernst O. Attinger & Hans Millendorfer - 1968 - Perspectives in Biology and Medicine 12 (1):103-123.
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  10. Tychastic Viability.Jean-Pierre Aubin - 2013 - Acta Biotheoretica 61 (3):329-340.
    Tychastic viability is defined in an uncertain dynamical framework and used for providing a “viability risk eradication measure”, first, by delineating the set of initial conditions from which all evolutions satisfy viability constraints, second, for the other “risky” initial states, by introducing their duration index. This approach provides an alternative to the stochastic representation of chance and these two measures replace the statistical measures.
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  11. Concepts of System in Engineering.Sunny Auyang - manuscript
    PDF version This talk explores three concepts of system in engineering: systems theory, systems approach, and systems engineering. They are exemplified in three dimensions of engineering: science, design, and management. Unifying the three system concepts is the idea of function: functional abstraction in theory, functional analysis in design, and functional requirements in management. Signifying what a system is for, function is a purposive notion absent in physical science, which aims to understand nature. It is prominent in engineering, which aims to (...)
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  12. Adaptation and Information in Ontogenesis and Phylogenesis. Increase of Complexity and Efficiency.Giovanni Felice Azzone - 1997 - History and Philosophy of the Life Sciences 19 (2):163-180.
    Adaptations during phylogenesis or ontogenesis can occur either by maintaning constant or by increasing the informational content of the organism. In the former case the increasing adaptations to external perturbation are achieved by increasing the rate of genome replication; the increased amount of DNA reflects an increase of total but not of law informational content. In the latter case the adaptations are achieved by either istructionist or evolutionary mechanism or a combination of both. Evolutionary adaptations occur during ontogenesis mainly in (...)
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  13. Complex Systems Biology and Life's Logic in Memory of Robert Rosen.I. Baianu - 2006 - Axiomathes 16 (1-2).
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  14. Robert Rosen's Work and Complex Systems Biology.I. C. Baianu - 2005 - Axiomathes 16 (1-2):25-34.
    Complex Systems Biology approaches are here considered from the viewpoint of Robert Rosen’s (M,R)-systems, Relational Biology and Quantum theory, as well as from the standpoint of computer modeling. Realizability and Entailment of (M,R)-systems are two key aspects that relate the abstract, mathematical world of organizational structure introduced by Rosen to the various physicochemical structures of complex biological systems. Their importance for understanding biological function and life itself, as well as for designing new strategies for treating diseases such as cancers, is (...)
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  15. Evolution of Adrenal and Sex Steroid Action in Vertebrates: A Ligand‐Based Mechanism for Complexity.Michael E. Baker - 2003 - Bioessays 25 (4):396-400.
  16. Study and Simulation of Reaction–Diffusion Systems Affected by Interacting Signaling Pathways.Majid Bani-Yaghoub & David E. Amundsen - 2008 - Acta Biotheoretica 56 (4):315-328.
    Possible effects of interaction (cross-talk) between signaling pathways is studied in a system of Reaction–Diffusion (RD) equations. Furthermore, the relevance of spontaneous neurite symmetry breaking and Turing instability has been examined through numerical simulations. The interaction between Retinoic Acid (RA) and Notch signaling pathways is considered as a perturbation to RD system of axon-forming potential for N2a neuroblastoma cells. The present work suggests that large increases to the level of RA–Notch interaction can possibly have substantial impacts on neurite outgrowth and (...)
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  17. On the Need for Integrative Phylogenomics, and Some Steps Toward its Creation.Eric Bapteste & Richard M. Burian - 2010 - Biology and Philosophy 25 (4):711-736.
    Recently improved understanding of evolutionary processes suggests that tree-based phylogenetic analyses of evolutionary change cannot adequately explain the divergent evolutionary histories of a great many genes and gene complexes. In particular, genetic diversity in the genomes of prokaryotes, phages, and plasmids cannot be fit into classic tree-like models of evolution. These findings entail the need for fundamental reform of our understanding of molecular evolution and the need to devise alternative apparatus for integrated analysis of these genomes. We advocate the development (...)
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  18. Towards a Processual Microbial Ontology.Eric Bapteste & John Dupré - 2013 - Biology and Philosophy 28 (2):379-404.
    Standard microbial evolutionary ontology is organized according to a nested hierarchy of entities at various levels of biological organization. It typically detects and defines these entities in relation to the most stable aspects of evolutionary processes, by identifying lineages evolving by a process of vertical inheritance from an ancestral entity. However, recent advances in microbiology indicate that such an ontology has important limitations. The various dynamics detected within microbiological systems reveal that a focus on the most stable entities (or features (...)
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  19. A Constant of Temporal Structure in the Human Hierarchy and Other Systems.Peter W. Barlow - 1992 - Acta Biotheoretica 40 (4):321-328.
    The levels that compose biological hierarchies each have their own energetic, spatial and temporal structure. Indeed, it is the discontinuity in energy relationships between levels, as well as the similarity of sub-systems that support them, that permits levels to be defined. In this paper, the temporal structure of living hierarchies, in particular that pertaining to Human society, is examined. Consideration is given to the period defining the lifespan of entities at each level and to a periodic event considered fundamental to (...)
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  20. A Web of Controversies: Complexity in the Burgess Shale Debate. [REVIEW]Christian Baron - 2011 - Journal of the History of Biology 44 (4):745 - 780.
    Using the Burgess Shale controversies as a case-study, this paper argues that controversies within different domains may interact as to create a situation of "complicated intricacies," where the practicing scientist has to navigate through a context of multiple thought collectives. To some extent each of these collectives has its own dynamic complete with fairly negotiated standards for investigation and explanation, theoretical background assumptions and certain peculiarities of practice. But the intellectual development in one of these collectives may "spill over" having (...)
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  21. Emergent Simplicity: The Social and Cultural Complexity of Irrigation Networks in Bali.C. Michael Barton - 2006 - Complexity 12 (2):64-66.
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  22. Modeling the Cardiovascular-Respiratory Control System: Data, Model Analysis, and Parameter Estimation.Jerry Batzel & Mostafa Bachar - 2010 - Acta Biotheoretica 58 (4):369-380.
    Several key areas in modeling the cardiovascular and respiratory control systems are reviewed and examples are given which reflect the research state of the art in these areas. Attention is given to the interrelated issues of data collection, experimental design, and model application including model development and analysis. Examples are given of current clinical problems which can be examined via modeling, and important issues related to model adaptation to the clinical setting.
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  23. Bill Wimsatt on Multiple Ways of Getting at the Complexity of Nature.William Bechtel, Werner Callebaut, James R. Griesemer & Jeffrey C. Schank - 2006 - Biological Theory 1 (2):213-219.
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  24. Discovering Complexity.William Bechtel, Robert C. Richardson & Scott A. Kleiner - 1996 - History and Philosophy of the Life Sciences 18 (3):363-382.
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  25. Dissecting the Complexity of the Nervous System by Enhancer Detection.Hugo J. Bellen, Clive Wilson & Walter J. Gehring - 1990 - Bioessays 12 (5):199-204.
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  26. On the Role of Constraints in the Emergence of Biological Organization.Leonardo Bich, Matteo Mossio & Alvaro Moreno - unknown
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  27. Complexity and Organization.Harold F. Blum - 1963 - Synthese 15 (1):115 - 121.
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  28. On the Origin of Self-Replicating Systems.Harold F. Blum - 1957 - In D. Rudnick (ed.), Rhythmic and synthetic properties in growth. Princeton University Press. pp. 155–70.
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  29. From Cells to Structures to Evolutionary Novelties: Creating a Continuum.Catherine Anne Boisvert - 2013 - Biological Theory 8 (3):211-220.
    This thematic issue addresses questions of constraints on the evolution of form—physical, biological, and technical. Here, form is defined as an embodiment of a specific structure, which can be hierarchically different yet emerge from the same processes. The focus of this contribution is about how developmental biology and paleontology can be better integrated and compared in order to produce hypotheses about the evolution of form. The constraints on current EvoDevo research stem from the disconnect in the focus of study for (...)
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  30. Is Gene Duplication a Viable Explanation for the Origination of Biological Information and Complexity?Joseph Esfandiar Hannon Bozorgmehr - 2011 - Complexity 16 (6):17-31.
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  31. Universality, Complexity and the Praxis of Biology: Two Case Studies.Erez Braun & Shimon Marom - 2015 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 53:68-72.
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  32. Systems Biology and the Integration of Mechanistic Explanation and Mathematical Explanation.Ingo Brigandt - 2013 - Studies in History and Philosophy of Biological and Biomedical Sciences 44 (4):477-492.
    The paper discusses how systems biology is working toward complex accounts that integrate explanation in terms of mechanisms and explanation by mathematical models—which some philosophers have viewed as rival models of explanation. Systems biology is an integrative approach, and it strongly relies on mathematical modeling. Philosophical accounts of mechanisms capture integrative in the sense of multilevel and multifield explanations, yet accounts of mechanistic explanation have failed to address how a mathematical model could contribute to such explanations. I discuss how mathematical (...)
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  33. Evolution as Entropy: Toward a Unified Theory of Biology.D. R. Brooks - 1986 - University of Chicago Press.
    "By combining recent advances in the physical sciences with some of the novel ideas, techniques, and data of modern biology, this book attempts to achieve a new and different kind of evolutionary synthesis. I found it to be challenging, fascinating, infuriating, and provocative, but certainly not dull."--James H, Brown, University of New Mexico "This book is unquestionably mandatory reading not only for every living biologist but for generations of biologists to come."--Jack P. Hailman, Animal Behaviour , review of the first (...)
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  34. The Role of Models in the Process of Epistemic Integration: The Case of the Reichardt Motion Detector.Daniel S. Brooks - 2014 - History and Philosophy of the Life Sciences 36 (1):90-113.
    Recent work on epistemic integration in the life sciences has emphasized the importance of integration in thinking about explanatory practice in science, particularly for articulating a robust alternative to reductionism and anti-reductionism. This paper analyzes the role of models in balancing the relative contributions of lower- and higher-level epistemic resources involved in this process. Integration between multiple disciplines proceeds by constructing a problem agenda (Love 2008), a set of interrelated problems that structures the problem space of a complex phenomenon that (...)
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  35. Biocomplexity: A Pluralist Research Strategy is Necessary for a Mechanistic Explanation of the "Live" State.F. J. Bruggeman, H. V. Westerhoff & F. C. Boogerd - 2002 - Philosophical Psychology 15 (4):411 – 440.
    The biological sciences study (bio)complex living systems. Research directed at the mechanistic explanation of the "live" state truly requires a pluralist research program, i.e. BioComplexity research. The program should apply multiple intra-level and inter-level theories and methodologies. We substantiate this thesis with analysis of BioComplexity: metabolic and modular control analysis of metabolic pathways, emergence of oscillations, and the analysis of the functioning of glycolysis.
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  36. Comments on Complexity and Experimentation in Biology.Richard M. Burian - 1997 - Philosophy of Science 64 (4):291.
    Biology deals, notoriously, with complex systems. In discussing biological methodology, all three papers in this symposium honor the complexity of biological subject matter by preferring models and theories built to reflect the details of complex systems to models based on broad general principles or laws. Rheinberger's paper, the most programmatic of the three, provides a framework for the epistemology of discovery in complex systems. A fundamental problem is raised for Rheinberger's epistemology, namely, how to understand the referential continuity of the (...)
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  37. The Major Transitions in Evolution Revisited.Brett Calcott & Kim Sterelny (eds.) - 2011 - MIT Press.
    Drawing on recent advances in evolutionary biology, prominent scholars return to the question posed in a pathbreaking book: how evolution itself evolved.
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  38. Biocomplexity as a Challenge for Biological Theory.Werner Callebaut & Manfred D. Laubichler - 2007 - Biological Theory 2 (1):1-2.
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  39. Complexity and Life.Fritjof Capra - 2002 - Emergence: Complexity and Organization 4 (1):15-33.
    During the last two decades, a new understanding of life emerged at the forefront of science.The development of complexity theory, technically known as nonlinear dynamics, has allowed scientists and mathematicians to model the complexities of living systems in new ways that have yielded many important discoveries. In this article, the author reviews the basic concepts, current achievements and status of complexity theory from the perspective of the new understanding of biological life. Models and theories discussed include the theory of dissipative (...)
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  40. The Incompleteness of Each Tradition: Toward an Ethic of Complexity (l'Incompiutezza di Ogni Tradizione: Verso Un'etica Della Complessita).Mauro Ceruti & Telmo Pievani - 2005 - World Futures 61 (4):291 – 306.
    This article addresses the power of human technologies to wreak destruction on a planetary scale, such as genetic manipulation and weapons of mass destruction. It proposes the need for a new ethic that would be planetary in scale. Its central aim would be to include the great historical and contemporary diversity of human cognitive and epistemological experience. An "ethic of complexity" can weave together the threads of our common heritage. Although humanity's evolutionary past has been shown to be quite diverse, (...)
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  41. Understanding Complexity: Are We Making Progress?Geoffrey K. Chambers - 2015 - Biology and Philosophy 30 (5):747-756.
    In recent years a new conceptual tool called Complexity Theory has come to the attention of scientists and philosophers. This approach is concerned with the emergent properties of interacting systems. It has found wide applicability from cosmology to Social Structure Analysis. However, practitioners are still struggling to find the best way to define complexity and then to measure it. A new book Complexity and the arrow of time by Lineweaver et al. contains contributions from scholars who provide critical reviews of (...)
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  42. Complexity in Living Organisms.Georges Chapouthier - 2008 - Proceedings of the Xxii World Congress of Philosophy 43:17-22.
    The present thesis, compatible with Darwinian theory, endeavours to provide original answers to the question of why the evolution of species leads to beings more complex than those existing before. It is based on the repetition of two main principles alleged to play a role in evolution towards complexity, i.e. "juxtaposition" and "integration". Juxtaposition is the addition of identical entities. Integration is the modification, or specialisation, of these entities, leading to entities on a higher level, which use the previous entities (...)
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  43. The Forms of Life: Complexity, History, and Actuality.Tom Cheetham - 1993 - Environmental Ethics 15 (4):293-311.
    A fundamental misapprehension of the nature of our being in the world underlies the general inhumanity and incoherence of modern culture. The belief that abstraction as a mode of knowing can be universalized to provide a rational ground for all human knowledge and action is a pernicious and unacknowledged background to several modern diseases. Illustrative of these maladies is the seeming dichotomy between the aesthetic and the analytic approaches to nature. One critical arena in which the incoherences of our current (...)
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  44. How Does Complexity Develop?Jack Cohen & Fi Biol - 2003 - In J. B. Nation (ed.), Formal Descriptions of Developing Systems. Kluwer Academic Publishers. pp. 153--164.
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  45. Organized Complexity: Properties, Models and the Limits of Understanding.John Collier - unknown
    Complexly organized systems include biological and cognitive systems, as well as many of the everyday systems that form our environment. They are both common and important, but are not well understood. A complex system is, roughly, one that cannot be fully understood via analytic methods alone. An organized system is one that shows spatio-temporal correlations that are not determined by purely local conditions, though organization can be more or less localizable within a system. Organization and complexity can vary independently to (...)
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  46. Correlations Entre Complexification Et Instabilite Dans Une Formalisation du Concept de Complexite.F. Collot - 1995 - Acta Biotheoretica 43 (1-2):195-204.
    Scientists have attempted several times to define the notion of complexity. A proper definition uses elements of three sets: a set of sites, as set of connections, and a set of nodes coincides with the set. Sites and connections can be translated into terms of graph theory as vertices and edges, which enables to consider complexity as an associated graph.Thus complexity of a system (or a structure) will be defined as the number of possible figures and aspects which are obtained (...)
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  47. Introduction to the Model of Hierarchical Complexity and its Relationship to Postformal Action.Michael Lamport Commons - 2008 - World Futures 64 (5 - 7):305 – 320.
    The Model of Hierarchical Complexity is introduced in terms of its main concepts, background, and applications. As a general, quantitative behavioral developmental theory, the Model enables examination of universal patterns of evolution and development. Behavioral tasks are definable and their organization of information in increasingly greater hierarchical, or vertical, complexity is measurable. Fifteen orders of hierarchical complexity account for task performances across domains, ranging from those of machines to creative geniuses. The four most complex orders are demonstrated by postformal stages (...)
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  48. What Postformal Thought is, and Why It Matters.Michael Lamport Commons & Sara Nora Ross - 2008 - World Futures 64 (5 - 7):321 – 329.
    The four stages of postformal thought are Systematic, Metasystematic, Paradigmatic, and Cross-Paradigmatic. Each successive stage is more hierarchically complex than the one that precedes it. Each stage uses the elements formed at the previous stage to construct more hierarchically complex elements (e.g., metasystems, paradigms). An actual instrument constructed using the Model of Hierarchical Complexity illustrates the progression in hierarchical complexity. Another example illustrates the nonlinear nature of hierarchical complexity. The distinct tasks of the four stages are described. Postformal thought benefits (...)
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  49. Multiple Levels of Recognition in Ants: A Feature of Complex Societies.Patrizia D'Ettorre - 2008 - Biological Theory 3 (2):108-113.
    Communication and recognition are essential for social life. Social insects are good model systems to study social behavior and complexity because their societies are evolutionarily stable and ecologically successful. Ants, in particular, show a large variety of adaptations and are extremely diverse. In ants, social interactions are regulated by at least three levels of recognition. Nestmate recognition occurs between colonies, is very effective, and involves fast processing. Within a colony, division of labor is enhanced by recognition of different classes of (...)
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  50. Discovering Complexity.Lindley Darden - 1996 - Biology and Philosophy 12 (1):101-107.
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