Results for 'Complex Systems Theory'

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  1. Systems Theory and Complexity.Arran Gare - 2000 - Democracy and Nature 6 (3):327-339.
    In this paper the central ideas and history of the theory of complex systems are described. It is shown how this theory lends itself to different interpretations and, correspondingly, to different political conclusions.
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  2. Complex Systems Biology.Roberto Serra - 2012 - In Vincenzo Fano, Enrico Giannetto, Giulia Giannini & Pierluigi Graziani (eds.), Complessità e Riduzionismo. ISONOMIA - Epistemologica Series Editor. pp. 100-107.
    The term “Complex Systems Biology” was introduced a few years ago [Kaneko, 2006] and, although not yet of widespread use, it seems particularly well suited to indicate an approach to biology which is well rooted in complex systems science. Although broad generalizations are always dangerous, it is safe to state that mainstream biology has been largely dominated by a gene-centric view in the last decades, due to the success of molecular biology. So the one gene - (...)
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  3. Special Systems Theory.Kent Palmer - manuscript
    A new advanced systems theory concerning the emergent nature of the Social, Consciousness, and Life based on Mathematics and Physical Analogies is presented. This meta-theory concerns the distance between the emergent levels of these phenomena and their ultra-efficacious nature. The theory is based on the distinction between Systems and Meta-systems (organized Openscape environments). We first realize that we can understand the difference between the System and the Meta-system in terms of the relationship between a (...)
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  4. Aleksandr Bogdanov and Systems Theory.Arran Gare - 2000 - Democracy and Nature 6 (3):341-359.
    The significance and potential of systems theory and complexity theory are best appreciated through an understanding of their origins. Arguably, their originator was the Russian philosopher and revolutionary, Aleksandr Bogdanov. Bogdanov anticipated later developments of systems theory and complexity theory in his efforts to lay the foundations for a new, post-capitalist culture and science. This science would overcome the division between the natural and the human sciences and enable workers to organize themselves and their (...)
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  5. Museums as Complex Systems in the Face of the War.Ievgeniia Ivanova - 2023 - Museum and Society 21 (2):17-23.
    Museums lose their conceptual complexity and polysemy under conditions of war, forced confrontation, and struggles for survival, which may lead to a loss of diversity in the long run. Parametric General Systems analysis allows us to consider a museum as a system and to explore substratum, structural, and conceptual types of simplicity and complexity. Such qualitative analysis makes it possible to move the discussion from the ideological and value sphere to the field of rational and science-based justification. This justification, (...)
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  6. Nonlinear synthesis and co‐evolution of complex systems.Helena Knyazeva & Sergei P. Kurdyumov - 2001 - World Futures 57 (3):239-261.
    Today a change is imperative in approaching global problems: what is needed is not arm-twisting and power politics, but searching for ways of co-evolution in the complex social and geopolitical systems of the world. The modern theory of self-organization of complex systems provides us with an understanding of the possible forms of coexistence of heterogeneous social and geopolitical structures at different stages of development regarding the different paths of their sustainable co-evolutionary development. The theory (...)
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  7. Unified complex-dynamical theory of financial, economic, and social risks and their efficient management: Reason-based governance for sustainable development.Andrei P. Kirilyuk - 2017 - In Theory of Everything, Ultimate Reality and the End of Humanity: Extended Sustainability by the Universal Science of Complexity. Beau Bassin: LAP LAMBERT Academic Publishing. pp. 194-199.
    An extended analysis compared to observations shows that modern “globalised” world civilisation has passed through the invisible “complexity threshold”, after which usual “spontaneous”, empirically driven kind of development (“invisible hand” etc.) cannot continue any more without major destructive tendencies. A much deeper, non-simplified understanding of real interaction complexity is necessary in order to cope with such globalised world development problems. Here we introduce the universal definition, fundamental origin, and dynamic equations for a major related quantity of (systemic) risk characterising real (...)
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  8. Sense-Making and Symmetry-Breaking: Merleau-Ponty, Cognitive Science, and Dynamic Systems Theory.Noah Moss Brender - 2013 - Symposium: Canadian Journal of Continental Philosophy/Revue canadienne de philosophie continentale 17 (2):247-273.
    From his earliest work forward, phenomenologist Maurice Merleau-Ponty attempted to develop a new ontology of nature that would avoid the antinomies of realism and idealism by showing that nature has its own intrinsic sense which is prior to reflection. The key to this new ontology was the concept of form, which he appropriated from Gestalt psychology. However, Merleau-Ponty struggled to give a positive characterization of the phenomenon of form which would clarify its ontological status. Evan Thompson has recently taken up (...)
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  9. Education in the Systems Sciences An Annotated Guide to Education and Research Opportunities in the Sciences of Complexity.Blaine Snow - 1990 - Berkeley, CA, USA: Center for Ecoliteracy (Formerly The Elmwood Institute).
    Comprehensive when it was published in 1990, this guide brought together information on the broad spectrum of education and research opportunities then available in the sciences of complexity. Its purpose was to make these kinds of investigations more accessible by providing information on programs, institutions, organizations, and literature where one can learn about their principles, methods, and applications. The guide was intended to help interested students and educators locate the various academic fields, departments, institutes, and programs that offer education in (...)
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    System: A Core Conceptual Modeling Construct for Capturing Complexity.Roman Lukyanenko, Veda C. Storey & Oscar Pastor - 2024 - Mεtascience: Scientific General Discourse 3:128-203.
    The digitalization of human society continues at a relentless rate. However, to develop modern information technologies, the increasing complexity of the real-world must be modeled, suggesting the general need to reconsider how to carry out conceptual modeling. This research proposes that the often-overlooked notion of ‘‘system’’ should be a separate, and core, conceptual modeling construct and argues for incorporating it and related concepts, such as emergence, into existing approaches to conceptual modeling. The work conducts a synthesis of the ontology of (...)
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  11. Bergson, Complexity and Creative Emergence.David Kreps - 2014 - New York: Palgrave-Macmillan.
    This is a book about evolution from a post-Darwinian perspective. It recounts the core ideas of French philosopher Henri Bergson and his rediscovery and legacy in the poststructuralist critical philosophies of the 1960s, and explores the confluences of these ideas with those of complexity theory in environmental biology. The failings in the development of systems theory, many of which complex systems theory overcomes, are retold; with Bergson, this book proposes, some of the rest may (...)
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  12. Collapsing the Complicated/Complex Distinction: It’s Complexity all the Way Down.Ragnar van der Merwe - 2023 - Interdisciplinary Description of Complex Systems 21 (1):1-17.
    Several complexity theorists draw a sharp and ontologically robust distinction between (merely) complicated systems and (genuinely) complex systems. I argue that this distinction does not hold. Upon fine-grained analysis, ostensibly complicated systems turn out to be complex systems. The purported boundary between the complicated and the complex appears to be vague rather than sharp. Systems are complex by degrees.
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  13. Adaptive Intelligent Tutoring System for learning Computer Theory.Mohammed A. Al-Nakhal & Samy S. Abu Naser - 2017 - European Academic Research 4 (10).
    In this paper, we present an intelligent tutoring system developed to help students in learning Computer Theory. The Intelligent tutoring system was built using ITSB authoring tool. The system helps students to learn finite automata, pushdown automata, Turing machines and examines the relationship between these automata and formal languages, deterministic and nondeterministic machines, regular expressions, context free grammars, undecidability, and complexity. During the process the intelligent tutoring system gives assistance and feedback of many types in an intelligent manner according (...)
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  14. Complexity, diversity and the role of the public sphere on the Internet.Nathan Eckstrand - 2020 - Philosophy and Social Criticism 46 (8):961-984.
    This article explores the relationship between deliberative democracy, the Internet, and systems theory’s thoughts on diversity. After introducing Habermas’s theory of deliberative democracy and how diversity fits into it, the article discusses various ideas about whether and how it could work on the Internet. Next, the article looks at research into diversity done in the field of complex adaptive systems, showing that diversity has both good and bad effects, but is clearly preferred for the purpose (...)
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  15. Eye-contact and complex dynamic systems: an hypothesis on autism's direct cause and a clinical study addressing prevention.Maxson J. McDowell - manuscript
    (This version was submitted to Behavioral and Brain Science. A revised version was published by Biological Theory) Estimates of autism’s incidence increased 5-10 fold in ten years, an increase which cannot be genetic. Though many mutations are associated with autism, no mutation seems directly to cause autism. We need to find the direct cause. Complexity science provides a new paradigm - confirmed in biology by extensive hard data. Both the body and the personality are complex dynamic systems (...)
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  16. Complexity Reality and Scientific Realism.Avijit Lahiri - manuscript
    We introduce the notion of complexity, first at an intuitive level and then in relatively more concrete terms, explaining the various characteristic features of complex systems with examples. There exists a vast literature on complexity, and our exposition is intended to be an elementary introduction, meant for a broad audience. -/- Briefly, a complex system is one whose description involves a hierarchy of levels, where each level is made of a large number of components interacting among themselves. (...)
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  17. Complexics as a meta-transdisciplinary field.Albert Bastardas-Boada - 2019 - Congrès Mondial Pour la Pensée Complexe. Les Défis D’Un Monde Globalisé. (Paris, 8-9 Décembre. UNESCO).
    ‘Complexics’ denotes the meta-transdisciplinary field specifically concerned with giving us suitable cognitive tools to understand the world’s complexity. Additionally, the use of the adjective ‘complexical’ would avoid the common confusion caused by the adjective ‘complex’, which belongs to everyday usage and already has its own connotations of complication and confusion. Thus, ‘complexical’ thinking and ‘complexical’ perspective would provide clearer terms, be freer of confusion, and refer more precisely to epistemic elements in contrast to the ‘complexity’ typical of many phenomena (...)
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  18. Self-Organization, Emergence, and Constraint in Complex Natural Systems.Jon Lawhead - manuscript
    Contemporary complexity theory has been instrumental in providing novel rigorous definitions for some classic philosophical concepts, including emergence. In an attempt to provide an account of emergence that is consistent with complexity and dynamical systems theory, several authors have turned to the notion of constraints on state transitions. Drawing on complexity theory directly, this paper builds on those accounts, further developing the constraint-based interpretation of emergence and arguing that such accounts recover many of the features of (...)
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  19. Irreversibility and Complexity.Lapin Yair - manuscript
    Complexity is a relatively new field of study that is still heavily influenced by philosophy. However, with the advent of modern computing, it has become easier to conduct thorough investigations of complex systems using computational simulations. Despite significant progress, there remain certain characteristics of complex systems that are difficult to comprehend. To better understand these features, information can be applied using simple models of complex systems. The concepts of Shannon's information theory, Kolgomorov complexity, (...)
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  20. Ontological theory for ontological engineering: Biomedical systems information integration.James M. Fielding, Jonathan Simon, Werner Ceusters & Barry Smith - 2004 - In Fielding James M., Simon Jonathan, Ceusters Werner & Smith Barry (eds.), Proceedings of the Ninth International Conference on the Principles of Knowledge Representation and Reasoning (KR2004), Whistler, BC, 2-5 June 2004. pp. 114–120.
    Software application ontologies have the potential to become the keystone in state-of-the-art information management techniques. It is expected that these ontologies will support the sort of reasoning power required to navigate large and complex terminologies correctly and efficiently. Yet, there is one problem in particular that continues to stand in our way. As these terminological structures increase in size and complexity, and the drive to integrate them inevitably swells, it is clear that the level of consistency required for such (...)
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  21. Complexity as a new framework for emotion theories.Giovanna Colombetti - 2003 - Logic and Philosophy of Science 1 (1).
    In this paper I suggest that several problems in the study of emotion depend on a lack of adequate analytical tools, in particular on the tendency of viewing the organism as a modular and hierarchical system whose activity is mainly constituted by strictly sequential causal events. I argue that theories and models based on this view are inadequate to account for the complex reciprocal influences of the many ingredients that constitute emotions. Cognitive processes, feelings and bodily states are so (...)
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  22. Lightning in a Bottle: Complexity, Chaos, and Computation in Climate Science.Jon Lawhead - 2014 - Dissertation, Columbia University
    Climatology is a paradigmatic complex systems science. Understanding the global climate involves tackling problems in physics, chemistry, economics, and many other disciplines. I argue that complex systems like the global climate are characterized by certain dynamical features that explain how those systems change over time. A complex system's dynamics are shaped by the interaction of many different components operating at many different temporal and spatial scales. Examining the multidisciplinary and holistic methods of climatology can (...)
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  23. The complexity of science.H. P. P. Lotter - 1999 - Koers 64 (4):499-520.
    In this article I present an alternative philosophy of science based on ideas drawn from the study of complex adaptive systems. As a result of the spectacular expansion in scientific disciplines, the number of scientists and scientific institutions in the twentieth century, I believe science can be characterised as a complex system. I want to interpret the processes of science through which scientists themselves determine what counts as good science. This characterisation of science as a complex (...)
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  24. Beyond Dilthey: The Parallelization of Natural and Social Scientific Methods and the Emergence of Complex Thinking.Marco Crosa - 2023 - Sofia Philosophical Review 15 (2):151-158.
    After two centuries, the Diltheyan idea of the incommensurability of the natural and social sciences remains hegemonic. Alternative visions have since been overlooked; in this regard, the Baden neo-Kantian school showed that any divergence concerns implied method and not the phenomenal object of studies. W. Windelband coined the terms “nomological” and “idiographic” to underline how each discipline can be explained as a science of both law and events. To begin, I will show how complex thinking can expand and institute (...)
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  25. The Quest for System-Theoretical Medicine in the COVID-19 Era.Felix Tretter, Olaf Wolkenhauer, Michael Meyer-Hermann, Johannes W. Dietrich, Sara Green, James Marcum & Wolfram Weckwerth - 2021 - Frontiers in Medicine 8:640974.
    Precision medicine and molecular systems medicine (MSM) are highly utilized and successful approaches to improve understanding, diagnosis, and treatment of many diseases from bench-to-bedside. Especially in the COVID-19 pandemic, molecular techniques and biotechnological innovation have proven to be of utmost importance for rapid developments in disease diagnostics and treatment, including DNA and RNA sequencing technology, treatment with drugs and natural products and vaccine development. The COVID-19 crisis, however, has also demonstrated the need for systemic thinking and transdisciplinarity and the (...)
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  26. The systemic mind and a conceptual framework for the psychosocial environment of business enterprises: Practical implications for systemic leadership training.Radek Trnka & Petr Parma - 2015 - In Kuška Martin & Jandl M. J. (eds.), Current Research in Psychosocial Arena: Thinking about Health, Society and Culture. Sigmund Freud PrivatUniversitäts Verlag. pp. 68-79.
    This chapter introduces a research-based conceptual framework for the study of the inner psychosocial reality of business enterprises. It is called the Inner Organizational Ecosystem Approach (IOEA). This model is systemic in nature, and it defines the basic features of small and medium-size enterprises, such as elements, structures, borders, social actors, organizational climate, processes and resources. Further, it also covers the dynamics of psychosocial reality, processes, emergent qualities and the higher-order subsystems of the overall organizational ecosystem, including the global business (...)
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  27. The complex nonlinear thinking: Edgar Morin's demand of a reform of thinking and the contribution of synergetics.Helena Knyazeva - 2004 - World Futures 60 (5 & 6):389 – 405.
    Main principles of the complex nonlinear thinking which are based on the notions of the modern theory of evolution and self-organization of complex systems called also synergetics are under discussion in this article. The principles are transdisciplinary, holistic, and oriented to a human being. The notions of system complexity, nonlinearity of evolution, creative chaos, space-time definiteness of structure-attractors of evolution, resonant influences, nonlinear and soft management are here of great importance. In this connection, a prominent contribution (...)
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  28. Complexity and Emergence.Avijit Lahiri - 2024 - Bengaluru: Avijit Lahiri.
    This monograph focuses on two major themes of current interest---those of complexity and emergence. Neither of the two concepts is, in the very nature of things, precisely defined or easily comprehended. Complexity is all around us while the sciences often analyze entities and events by making simplifications. But the fault lines in the latter get exposed over larger spans of space and time. Complexity entails emergence that involves discontinuity and novelty in the evolution of complex systems, based on (...)
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  29. Development of a strategic complexity management framework for industrial systems - A multi-case study -.Freund Lucas - 2022 - Dissertation, Lincoln University
    Today decision-makers face surging increases in overall system complexity leading up to more unstable and unpredictable business environments. Leaders and decision-makers are confronted with volatility (dynamic and intense changes), uncertainty (lack of predictability), complexity (interconnection of parts which is sometimes overwhelmingly difficult to process), and ambiguity (unclear relationships), namely the VUCA-world. The implications of the VUCA-world for business and strategy can be applied to the rise of complex cyber-physical systems in Industry 4.0. There is an expressed need to (...)
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  30. Narrating the self: Freud, Dennett and complexity theory.Tanya de Villiers & Paul Cilliers - 2004 - South African Journal of Philosophy 23 (1):34-53.
    Adopting a materialist approach to the mind has far reaching implications for many presuppositions regarding the properties of the brain, including those that have traditionally been consigned to “the mental” aspect of human being. One such presupposition is the conception of the disembodied self. In this article we aim to account for the self as a material entity, in that it is wholly the result of the physiological functioning of the embodied brain. Furthermore, we attempt to account for the structure (...)
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  31. Does Fidelity to Revolutionary Truths Undo Itself?Nathan Eckstrand - 2019 - Radical Philosophy Review 22 (1):59-84.
    This article examines Alain Badiou’s and Slavoj Žižek’s advocacy for fidelity to revolutionary truths in light of complex system theory’s understanding of resiliency. It begins with a discussion of how Badiou and Žižek describe truth. Next, it looks at the features that make a complex system resilient. The article argues that if we understand neoliberalism as a resilient system, then the fidelity to revolutionary truths that Badiou and Žižek advocate is not enough, for it doesn’t realize how (...)
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  32. (1 other version)A Developmental Systems Account of Human Nature.Karola Stotz & Paul Griffiths - 2018 - In Elizabeth Hannon & Tim Lewens (eds.), Why We Disagree About Human Nature. Oxford: Oxford University Press. pp. 00-00.
    It is now widely accepted that a scientifically credible conception of human nature must reject the folkbiological idea of a fixed, inner essence that makes us human. We argue here that to understand human nature is to understand the plastic process of human development and the diversity it produces. Drawing on the framework of developmental systems theory and the idea of developmental niche construction we argue that human nature is not embodied in only one input to development, such (...)
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  33. Complexity and Particularity: An Argument for the Impossibility of Artificial Intelligence.Emanuele Martinelli - 2024 - Cosmos+Taxis 12 (5+6):42-57.
    Landgrebe and Smith (2022) have recently offered an important mathematical argument against the possibility of Artificial General Intelligence (AGI): human intelligence is a complex system; complex systems have some properties that cannot be modelled mathematically; hence we have no viable way to build an AI that would be able to emulate human intelligence. The issue of complexity is thus at the heart of the Landgrebe and Smith approach, and they tackle this issue by postulating a set of (...)
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  34. Difference, boundaries and violence : a philosophical exploration informed by critical complexity theory and deconstruction.Lauren Hermanus - unknown
    ENGLISH ABSTRACT: This thesis is a philosophical exposition of violence informed by two theoretical positions which confront complexity as a phenomenon. These positions are complexity theory and deconstruction. Both develop systemsbased understandings of complex phenomena in which relations of difference are constitutive of the meaning of those phenomena. There has been no focused investigation of the implications of complexity for the conceptualisation of violence thus far. In response to this theoretical gap, this thesis begins by distinguishing complexity (...) as a general, trans-disciplinary field of study from critical complexity theory. The latter is used to develop a critique and criticism of epistemological foundationalism, emphasising the limits to knowledge and the normative and ethical dimension of knowledge and understanding. The epistemological break implied by this critique reiterates the epistemological shift permeating the work of, among others, Friedrich Nietzsche and Jacques Derrida. In this context, critical complexity theory begins to articulate the idea of violence on two levels: first, as an empirical, ethical problem in the system; and, secondly, as asymmetry and antagonism. Violence in this second sense is implicated in the dynamic relations of difference through which structure and meaning are generated in complex organisation. The sensitivity to difference and violence shared by critical complexity theory and deconstruction allows for the parallel reading of these philosophical perspectives; and for the supplementation and opening of critical complexity theory by deconstruction within the architecture of this thesis. This supplementation seeks to preserve the singularity of each perspective, while exploring the potential of their points of affinity and tension in the production of a coherent philosophical analysis of violence. Deconstruction offers a more developed understanding of violence and a wealth of related motifs: différance, framing, law, singularity, aesthetics and others. These motifs necessitate the inclusion of other philosophical voices, notably, that of Nietzsche, Arendt, Kant, Levinas, and Benjamin. In conversation with these authors, this thesis links violence to meaning, to its possibility, to its production and to the process by which meaning comes to change. Given these links, violence is conceptualised in relation to the notion of difference on three distinct levels. The first is the difference between elements in a complex system of meaning; the second is the notion of difference between systems or texts around which boundaries or frames can be drawn; and the third is the notion of difference between meaning and the absence of meaning. This discussion examines the relationship between this violence implicated in the constitution of meaning and the more colloquial understanding of violence as atrocity, as rape, murder and other socially, politically and ethically problematic expressions thereof. It is to empirical violence, following Derrida and Levinas, that we are called to respond and to intervene in the suffering of the other. The ethical and political necessity of response anchors this discussion of violence. And, it is towards the possibility of an adequate response – the possibility of an ethics sensitive to its own violence and a politics that is directed at the eradication of empirical violence – which this discussion navigates. (shrink)
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  35. Rethinking Democracy: A Systems Perspective on the Global Unrest.Gennady Shkliarevsky - 2016 - Systems Research and Behavioral Science 33 (3):452-470.
    The paper seeks to make a contribution towards a better understanding of the current global political unrest. It argues that this unrest reflects ongoing tensions between hierarchical and non-hierarchical interactions. It also argues that the opposition between hierarchical and non-hierarchical interactions is not ontological but rather is rooted in the way we approach reality and is, therefore, subject to our control. The tendency to exclude the process of construction from our frame of vision is characteristic for the view of reality (...)
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  36. Descriptive Complexity, Computational Tractability, and the Logical and Cognitive Foundations of Mathematics.Markus Pantsar - 2021 - Minds and Machines 31 (1):75-98.
    In computational complexity theory, decision problems are divided into complexity classes based on the amount of computational resources it takes for algorithms to solve them. In theoretical computer science, it is commonly accepted that only functions for solving problems in the complexity class P, solvable by a deterministic Turing machine in polynomial time, are considered to be tractable. In cognitive science and philosophy, this tractability result has been used to argue that only functions in P can feasibly work as (...)
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  37. Systems in Context: On the Outcome of the Habermas/Luhmann debate.Poul F. Kjaer - 2006 - Ancilla Iuris 1:66-77.
    Usually regarded as a 1970s phenomenon, this article demonstrates that the debate between Jürgen Habermas and Niklas Luhmann continued until Luhmann’s death in 1998, and that the development of the two theorists’ positions during the 1980s and 1990s was characterised by convergence rather than by divergence. In the realm of legal theory, the article suggests, convergence advanced to the extent that Habermas’ discourse theory may be characterised as a normative superstructure to Luhmann’s descriptive theory of society. It (...)
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  38. Complex Organisation and Fundamental Physics.Brian D. Josephson - 2018 - Streaming Media Service, Cambridge University.
    The file on this site provides the slides for a lecture given in Hangzhou in May 2018, and the lecture itself is available at the URL beginning 'sms' in the set of links provided in connection with this item. -/- It is commonly assumed that regular physics underpins biology. Here it is proposed, in a synthesis of ideas by various authors, that in reality structures and mechanisms of a biological character underpin the world studied by physicists, in principle supplying detail (...)
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  39.  56
    The AI Revolution in Deterrence Theory: 10 Groundbreaking Concepts Reshaping Global Security.Yu Chen - manuscript
    This article explores the transformative impact of artificial intelligence on deterrence theory, introducing 10 groundbreaking concepts that are reshaping global security dynamics. As traditional deterrence strategies face challenges in an increasingly complex and interconnected world, these innovative approaches leverage AI, complex systems theory, and emerging technologies to create more sophisticated and adaptive deterrence mechanisms. From Chaos Deterrence, which harnesses unpredictability, to Möbius Deterrence, which blurs the lines between offense and defense, these concepts represent a paradigm (...)
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  40. Autonomous Weapon Systems in Just War Theory perspective. Maciej - 2022 - Dissertation,
    Please contact me at [email protected] if you are interested in reading a particular chapter or being sent the entire manuscript for private use. -/- The thesis offers a comprehensive argument in favor of a regulationist approach to autonomous weapon systems (AWS). AWS, defined as all military robots capable of selecting or engaging targets without direct human involvement, are an emerging and potentially deeply transformative military technology subject to very substantial ethical controversy. AWS have both their enthusiasts and their detractors, (...)
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  41. The Self The Soul and The World: Affect Reason and Complexity.Avijit Lahiri - manuscript
    This book looks at the affective-cognitive roots of how the human mind inquires into the workings of nature and, more generally, how the mind confronts reality. Reality is an infinitely complex system, in virtue of which the mind can comprehend it only in bits and pieces, by making up interpretations of the myriads of signals received from the world by way of integrating those with information stored from the past. This constitutes a piecemeal interpretation by which we assemble our (...)
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  42. Assertion, Complexity, and Sincerity.Robin McKenna - 2015 - Australasian Journal of Philosophy 93 (4):782-798.
    The target of this paper is the ‘simple’ knowledge account of assertion, according to which assertion is constituted by a single epistemic rule of the form ‘One must: assert p only if one knows p’. My aim is to argue that those who are attracted to a knowledge account of assertion should prefer what I call the ‘complex’ knowledge account, according to which assertion is constituted by a system of rules all of which are, taken together, constitutive of assertion. (...)
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  43. Standard Neutrosophic Soft Theory- Some First Resluts.Bui Cong Cuong, Pham Hong Phong & Florentin Smarandache - 2016 - Neutrosophic Sets and Systems 12:80-91.
    The traditional soft set is a mapping from a parameter set to family of all crisp subsets of a universe. Molodtsov introduced the soft set as a generalized tool for modelling complex systems involving uncertain or not clearly defined objects. In this paper, the notion of neutrosophic soft set is reanalysed. The novel theory is a combination of neutrosophic set theory and soft set theory. The complement, “and”, “or”, intersection and union operations are defined on (...)
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  44. On Paul Cilliers’ approach to complexity: Post-structuralism versus model exclusivity.Ragnar Van Der Merwe - 2021 - INDECS: Interdisciplinary Description of Complex Systems 19 (4):457-469.
    Paul Cilliers has developed a novel post-structural approach to complexity that has influenced several writers contributing to the current complexity literature. Concomitantly however, Cilliers advocates for modelling complex systems using connectionist neural networks (rather than analytic, rule-based models). In this paper, I argue that it is dilemmic to simultaneously hold these two positions. Cilliers’ post-structural interpretation of complexity states that models of complex systems are always contextual and provisional; there is no exclusive model of complex (...)
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  45. What an Entangled Web We Weave: An Information-centric Approach to Time-evolving Socio-technical Systems.Markus Luczak-Roesch, Kieron O’Hara, Jesse David Dinneen & Ramine Tinati - 2018 - Minds and Machines 28 (4):709-733.
    A new layer of complexity, constituted of networks of information token recurrence, has been identified in socio-technical systems such as the Wikipedia online community and the Zooniverse citizen science platform. The identification of this complexity reveals that our current understanding of the actual structure of those systems, and consequently the structure of the entire World Wide Web, is incomplete, which raises novel questions for data science research but also from the perspective of social epistemology. Here we establish the (...)
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  46. Spontaneous mindreading: a problem for the two-systems account.Evan Westra - 2017 - Synthese 194 (11):4559-4581.
    According to the two-systems account of mindreading, our mature perspective-taking abilities are subserved by two distinct mindreading systems: a fast but inflexible, “implicit” system, and a flexible but slow “explicit” one. However, the currently available evidence on adult perspective-taking does not support this account. Specifically, both Level-1 and Level-2 perspective-taking show a combination of efficiency and flexibility that is deeply inconsistent with the two-systems architecture. This inconsistency also turns out to have serious consequences for the two-systems (...)
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  47. Complex, Dynamic and Contingent Social Processes as Patterns of Decision-Making Events – Philosophical and Mathematical Foundations.Bruno da Rocha Braga - forthcoming - European Journal of Pragmatism and American Philosophy.
    This work presents a post-positivist research framework to explain any surprising fact in the evolutionary path of a complex, dynamic and contingent social phenomenon. Primarily, it reconciles the ontological and epistemological assumptions of Critical Realism with the principles of American Pragmatism. Then, the research approach is presented: theoretical propositions about a social structure are translated into a set of grammar rules that acknowledges a pattern of sequences of events of either individual action or social interaction between actors within a (...)
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  48. A Complexity Basis for Phenomenology: How information states at criticality offer a new approach to understanding experience of self, being and time.Alex Hankey - 2015 - Progress in Biophysics and Molecular Biology 119:288–302.
    In the late 19th century Husserl studied our internal sense of time passing, maintaining that its deep connections into experience represent prima facie evidence for it as the basis for all investigations in the sciences: Phenomenology was born. Merleau-Ponty focused on perception pointing out that any theory of experience must in accord with established aspects of biology i.e. embodied. Recent analyses suggest that theories of experience require non-reductive, integrative information, together with a specific property connecting them to experience. Here (...)
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  49. (1 other version)Autism’s Direct Cause? Failure of Infant-Mother Eye Contact in a Complex Adaptive System.Maxson J. McDowell - 2010 - Biological Theory 5 (4):344-356.
    This article attempts to show why an experimental hypothesis is plausible and merits testing; in brief, the hypothesis is that autism begins with a failure in early learning and that changing the environment of early learning would dramatically change its incidence. Strong statistical evidence supporting this hypothesis has been published by Waldman et al. (2008), but to date this evidence has largely been ignored, perhaps because it challenges prevalent beliefs about autism. This article also suggests that the current epidemic of (...)
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  50. Recensione di Michael Strevens' "Bigger than chaos. Understanding complexity through probability". [REVIEW]Aldo Filomeno - 2014 - Aphex 10.
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