Systems Theory and Scientific Philosophy constitutes a totally new approach to philosophy, the philosophy of mind and the problems of artificial intelligence, and is based upon the pioneering work in cybernetics of W. Ross Ashby. While science is humanity's attempt to know how the world works and philosophy its attempt to know why, scientific philosophy is the application of scientific techniques to questions of philosophy.

Dynamical systems theory (DST) is gaining popularity in cognitive science and philosophy of mind. Recently several authors (e.g. J.A.S. Kelso, 1995; A. Juarrero, 1999; F. Varela and E. Thompson, 2001) offered a DST approach to mental causation as an alternative for models of mental causation in the line of Jaegwon Kim (e.g. 1998). They claim that some dynamical systems exhibit a form of global to local determination or downward causation in that the large-scale, global activity of the system (...) governs or constrains local interactions. This form of downward causation is the key to the DST model of mental causation. In this paper I evaluate the DST approach to mental causation. I will argue that the main problem for current DST approaches to mental causation is that they lack a clear metaphysics. I propose one metaphysical framework (Gillett, 2002a/b/c) that might deal with this deficiency. (shrink)

Developmental Systems Theory (DST) emphasises the importance of non-genetic factors in development and their relevance to evolution. A common, deflationary reaction is that it has long been appreciated that non-genetic factors are causally indispensable. This paper argues that DST can be reformulated to make a more substantive claim: that the special role played by genes is also played by some (but not all) non-genetic resources. That special role is to transmit inherited representations, in the sense of Shea (2007: Biology (...) and Philosophy, 22, 313-331). Formulating DST as the claim that there are non-genetic inherited representations turns it into a striking, empirically-testable hypothesis, driving the sort of investigations that are only now beginning to appear in the scientific literature. DST’s characteristic rejection of a gene vs. environment dichotomy is preserved, but without dissolving all potentially explanatory distinctions into an interactionist causal soup, as some have alleged. (shrink)

The schooling we have -- The nature of nature -- Systems -- The complexities of schooling -- Learners and learning -- Teachers and teaching -- The schooling we need -- Epilogue: emergent principles of democratic schooling.

Does systems theory need rethinking? Most social scientists would probably say no. It had its run, was debated critically, and found wanting. If at all, it should be treated historically. Why then might systems theory need rethinking, as the title of this symposium claims? The reason is that, unlike in the natural and biosocial sciences, any conception of system in the social sciences has remained suspect in the wake of problematic Parsonian and cybernetic systems theories. The premise (...) of this special issue is that abandoning conceptions of systems has imposed a high price on the social sciences: a lack of ontologies and methodologies that are both philosophically profound and scientifically defensible. It has left social scientists who choose to ignore ontology in their theoretical and empirical work defenseless against enterprising settlers from a variety of humanities and social science disciplines who attack mainstream work with—often simplistic and naïve, but nevertheless fundamental—philosophical arguments, whether anti-scientific postmodernists or pseudo-scientific rational choice theorists. The goal of this special issue is to showcase new and original work that contributes to a rethinking of systems theory by taking the conception of systems seriously. This introduction offers a programmatic statement of a systemic ontology and methodology as well as a brief general outline and examples of what a systems-based approach in the social sciences entails. Key Words: systems theory • systemism • systemic approach • complexity theory • self-organization • emergentism • paradigms • social mechanisms • Mario Bunge. (shrink)

Griffiths and Russell D. Gray (1994, 1997, 2001) have argued that the fundamental unit of analysis in developmental systems theory should be a process – the life cycle – and not a set of developmental resources and interactions between those resources. The key concepts of developmental systems theory, epigenesis and developmental dynamics, both also suggest a process view of the units of development. This chapter explores in more depth the features of developmental systems theory that favour treating (...) processes as fundamental in biology and examines the continuity between developmental systems theory and ideas about process in the work of several major figures in early 20th century biology, most notable C.H Waddington. (shrink)

Developmental systems theory (DST) is a wholeheartedly epigenetic approach to development, inheritance and evolution. The developmental system of an organism is the entire matrix of resources that are needed to reproduce the life cycle. The range of developmental resources that are properly described as being inherited, and which are subject to natural selection, is far wider than has traditionally been allowed. Evolution acts on this extended set of developmental resources. From a developmental systems perspective, development does not proceed (...) according to a preformed plan; what is inherited is much more than DNA; and evolution is change not only in gene frequencies, but in entire developmental systems. (shrink)

Dynamical systems theory (DST) is a branch of mathematics that assesses abstract or physical systems that change over time. It has a quantitative part (mathematical equations) and a related qualitative part (plotting equations in a state space). Nonlinear dynamical systems theory applies the same tools in research involving phenomena such as chaos and hysteresis. These approaches have provided different ways of investigating and understanding cognitive systems in cognitive science and neuroscience. The ‘dynamical hypothesis’ claims that cognition is and (...) can be understood as dynamical systems. Common consequences for such an approach include rejecting understanding cognition as information processing in nature, including eschewing explanatory roles for computation or representation. Contemporary applications of DST include mouse‐tracking studies in cognitive science and nonrepresentational perspectives on motor control in neuroscience. Such work has philosophical implications concerning the boundaries of cognition, explanation, and representations. DST offers powerful methodology and theories that raise many topics of philosophical significance. (shrink)

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 ‘Whole (...) greater than the sum of the parts’ and a ‘Whole less than the sum of its parts’, i.e., a whole full of holes (like a sponge) that provide niches for systems in the environment. Once we understand this distinction and clarify the nature of the unusual organization of the Meta-system, then it is possible to understand that there is a third possibility which is a whole exactly equal to the sum of its parts that is only supervenient like perfect numbers. In fact, there are three kinds of Special System corresponding to the perfect, amicable, and sociable aliquot numbers. These are all equal to the sum of their parts but with different degrees of differing and deferring in what Jacques Derrida calls “differance”. All other numbers are either excessive (systemic) or deficient (metasystemic) in this regard. The Special Systems are based on various mathematical analogies and some physical analogies. But the most important of the mathematical analogies are the hypercomplex algebras, which include the Complex Numbers, Quaternions, and Octonions, with the Sedenions corresponding to the Emergent Meta-system. However, other analogies are the Hopf fibrations between hyperspheres of various dimensions, nonorientable surfaces, soliton solutions, etc. These Special Systems have a long history within the tradition since they can be traced back to the imaginary cities of Plato. The Emergent Meta-system is a higher order global structure that includes the System with the three Special Systems as a cycle. An example of this from our tradition is in the Monadology of Gottfried Wilhelm von Leibniz. There is a conjunctive relationship between the System schema and the Special Systems that produce the Meta-system schema cycle. The Special Systems are a meta-model for the relationship between the emergent levels of Consciousness (Dissipative Ordering based on the theory of negative entropy of Prigogine), Living (Autopoietic Symbiotic based on the theory of Maturana and Varela), and Social (Reflexive based on the theory of John O’Malley and Barry Sandywell). These different special systems are related to the various existenitals identified by Martin Heidegger in Being and Time and various temporal reference frames identified by Richard M. Pico. We also relate the special systems to morphodynamic and teleodynamic systems of Terrence Deacon in Incomplete Nature to which we add sociodynamic systems to complete the series of Special Systems. (shrink)

(2013). Systems Theory, Arrogant and Humble. World Futures: Vol. 69, The Complexity of Life and Lives of Complexity, pp. 332-344.

As anthropology becomes more interested in consciousness and its numerous states, and with a slowly increasing appeal to neuroscience for insights and explanations of consciousness, there is an understandable interest in the components of consciousness and how they combine into alternative states in different sociocultural settings. One of those components should be the complexity of information processing producing the knowing aspect of consciousness. The author introduces an approach to this aspect in the form of conceptual systems theory, a neo-Piagetian (...) model of cognitive development, which has been used to good effect to explain information processing in social situations but heretofore neglected by anthropologists. The neuroanthropological underpinnings of CST are discussed, as is the range of potential applications to ethnological and ethnographic problems. (shrink)

The article analyzes the possibilities and limitations of artificial intelligence. The article considers the subjectivity of artificial intelligence, determines its necessity for solving intellectual problems depending on the possibility of representing the real world as a deterministic system. Methodological limitations of artificial intelligence, which is based on the use of big data technologies, are stated. These limitations cause the impossibility of forming a holistic representation of the objects of cognition and the world as a whole. As a tool for (...) deterministic description of the universe it is proposed to use empirical-metaphysical general theory of systems, which is an extension of existing general theories of systems due to ontological justification of the phenomenon of isomorphism and definition of a limited set of laws, rules, patterns and primitives of forms and relations of objects in the universe. The distinction of natural (human) and artificial intelligence is considered, including the realization of multisystem integration of intelligence in physical, biological, social and spiritual systems. A philosophically grounded approach to ensuring the evolutionary properties of artificial intelligence is formulated, based on the inclusion of non-equilibrium mechanisms through which stability is realized. (shrink)

The Developmental Systems Theory (DST) presented by its proponents as a challenging approach in biology is aimed at transforming the workings of the life sciences from both a theoretical and experimental point of view (see, in particular, Oyama [1985] 2000; Oyama et al. 2001). Even though some may have the impression that the enthusiasm surrounding DST has faded in very recent years, some of the key concepts, ideas, and visions of DST have in fact pervaded biology and philosophy of (...) biology. It seems crucial to us both to establish which of these ideas are truly specific to DST, and to shift through these ideas in order to determine the criticisms they have drawn, or may draw (e.g., Sterelny et al. 1996; Griesemer 2000; Sterelny 2000; Kitcher 2001; Keller 2005; Waters 2007). (shrink)

According to the standard view in philosophy, intentionality is the mark of genuine action. In psychology, human cognition and agency are now widely explained in terms of the workings of two distinct systems (or types of processes), and intentionality is not a central notion in this dual-system theory. Further, it is often claimed, in psychology, that most human actions are automatic, rather than consciously controlled. This raises pressing questions. Does the dual-system theory preserve the philosophical account (...) of intentional action? How much of our behavior is intentional according to this view? And what is the role of consciousness? I will propose here a revised account of intentional action within the dual-system framework, and we will see that most of our behavior can qualify as intentional, even if most of it is automatic. An important lesson will be that philosophical accounts of intentional action need to pay more attention to the role of consciousness in action. (shrink)

Near-death experiences, transcendental experiences that frequently occur on the threshold of death, precipitate profound personality transformations that have defied explanation in terms of current psychodynamic and neurophysiologic models. A biosociological approach based on information and systems theories can elucidate anomalous features of both near-death phenomenology and the bipolar aftereffects of these mystical experiences. This biosociological model makes testable predictions about near-death experiencers and suggests fruitful future directions for the scientific study of mystical experience.

Here, for the first time, development studies encounters the set of ideas popularly known as 'Chaos Theory'. Samir Rihani applies to the processes of economic development, ideas from complex adaptive systems like uncertainty, complexity, and unpredictability. Rihani examines various aspects of the development process - including the World Bank, debt, and the struggle against poverty - and demonstrates the limitations of fundamentally linear thinking in an essentially non-linear world.

Systems theory understands phenomena in terms of the systems of which they are part. This book is about a systems theoretical approach to thinking about art.

Dynamic systems theory is a way of describing the patterns that emerge from relationships in the universe. In the study of interpersonal relationships, within and between species, the scientist is an active and engaged participant in those relationships. Separation between self and other, scientist and subject, runs counter to systems thinking and creates an unnecessary divide between humans and animals.

In the first section of this paper I argue that the main reason why Daniel Dennett’s Intentional Systems Theory (IST) has been perceived as behaviourist or antirealist is its inability to account for the causal efficacy of the mental. The rest of the paper is devoted to the claim that by emending the theory with a phenomenon called ‘empathic resonance’ (ER), it can account for the various explananda in the mental causation debate. Thus, IST + ER is a (...) much more viable option than IST, even though IST + ER assigns a crucial role to the phenomenology of agency, a role that is incompatible with Dennett’s writings on consciousness. (shrink)

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.

Philosophers of science have used various formulations of the "random mutation--natural selection" scheme to explain the development of scientific knowledge. But the uncritical acceptance of this evolutionary model has led to substantive problems concerning the relation between fact and theory. The primary difficulty lies in the fact that those who adopt this model (Popper and Kuhn, for example) are led to claim that theories arise chiefly through the processes of relatively random change. Systems theory constitutes a general criticism (...) of this model insofar as it demonstrates the necessity of supplementing this mechanism with the non-random influences exercised by the internal organization of a system on its own development. (shrink)

Intensive care nursing is prone to episodic anxiety linked to patients’ immediate needs for treatment. Balancing biomedical interventions with compassionate patient‐centred nursing can be particularly anxiety provoking. These patterns of anxiety may impact compassion and patient‐centred nursing. The aim of this paper is to discuss the application of Bowen Family Systems Theory to intensive care nursing, mapping a framework to support critical care nurses’ well‐being and, consequently, the quality of care they provide. This article is founded on research, theoretical (...) papers and texts focused on Bowen Family Systems Theory (BFST), and findings from a constructivist study on patient‐centred nursing and compassion in the intensive care unit. The goal of Bowen Family Systems Theory is to empower individuals, decreasing blame and reactivity. Bowen Family Systems Theory can be applied to the sometimes intimate relationships that develop in this environment, aiding understanding of nurses’ experience of compassion satisfaction and fatigue. Where organizational factors and management styles fall short in supporting critical care nurses to meet expectations, BFST can offer a perspective on the processes that occur within the intensive care unit, impacting nurse well‐being and quality of care. This paper makes plain the importance of understanding the anxiety that occurs within the intensive care unit as a system, so that individuals, such as critical care nurses, can be supported appropriately to ensure nurse well‐being and quality care. (shrink)

Niklas Luhmann's theory of social systems is one of the most ambitious attempts to create a coherent account of global modernity. Primarily interested in the fundamental structures of modern society, however, Luhmann himself paid relatively little attention to regional variations. The aim of this book is to seek out modernity in one particular location: The United States of America. Gathering essays from a group of cultural and literary scholars, sociologists, and philosophers, Addressing Modernity reassesses the claims of American exceptionalism (...) by setting them in the context of Luhmann's conception of modernity, and explores how social systems theory can generate new perspectives on what has often been described as the first thoroughly modern nation. As a study of American society and culture from a Luhmannian vantage point, the book is of interest to scholars from both American Studies and social systems theory in general. (shrink)

In this paper, I examine Daniel Dennett’s well-known intentional systems theory of belief and desire from the perspective of physicalism. I begin with a general discussion of physicalism. In the course of that discussion, I present familiar ways that one might attempt to reconcile physicalism with belief-desire realism. I then argue that intentional systems theory will not provide a reconciliation of physicalism and belief-desire realism.

The present volume aims at giving a discussion ot the problems ot reductionism in contemporary life sciences. It contains six papers which deals with reduction/reductionism in different fields ot biological research. Also, the holistic perspective, 1. e. the systems view, is discussed in some ot the papers. The message ot this discussion Is that - whereas reductionism is indeed an important strategy - the systems approach is needed. It is argued by some ot the authors that organisms are complex systems (...) and not just heaps of molecules, 50 that the analytical method does not suffice. Recent developments in systems theory offer the possibility to install a more comprehensive view ot living systems what can be seen particularly in the field ot evolutionary biology. It is true that any organismic activity is molecular, this is to say that it is based on molecular mechanisms. But it is also true that the whole organism displays certain patterns ot behavior which are not just molecular. Any organism can be described as a system ot different levels ot organization different levels ot order and complexity - and it is important, theretore, to study all ot the organizational levels and to see their peculiarities. It should be obvious, however, that there is not one problem ot reduction/reductionism, but that there are many problems linked together and that these problems appear at different levels ot biological research and bio philosophical reflections. (shrink)

I examine explanations’ realist commitments in relation to dynamical systems theory. First I rebut an ‘explanatory indispensability argument’ for mathematical realism from the explanatory power of phase spaces (Lyon and Colyvan 2007). Then I critically consider a possible way of strengthening the indispensability argument by reference to attractors in dynamical systems theory. The take-home message is that understanding of the modal character of explanations (in dynamical systems theory) can undermine platonist arguments from explanatory indispensability.

This paper proposes that neurodynamic system theory may be used to connect structural and functional aspects of neural organization. The paper claims that generalized causal dynamic models are proper tools for describing the self-organizing mechanism of the nervous system. In particular, it is pointed out that ontogeny, development, normal performance, learning, and plasticity, can be treated by coherent concepts and formalism. Taking into account the self-referential character of the brain, autopoiesis, endophysics and hermeneutics are offered as elements (...) of a poststructuralist brain (-mind-computer) theory. (shrink)

Besides their skepticism about universal reason and universal morality, the Frankfurt Schools of Critical Systems Theory and Critical Theory share basic assumptions: (1) the thinking in societal-systemic, institutional concepts, which transcend simple reciprocal relations by dint of their complexity; (2) the assumption that society is based on fundamental paradoxes, antagonisms, antinomies; (3) the strategy to conceptualize justice as a contingent and transcendental formula; (4) the form of immanent (and not morality-based, external) critique as an attitude of transcendence; (5) (...) the aim of societal (and not only political) emancipation in an ‘association of free individuals’ (Marx). The article focuses on those parallels and aims to conceptualize a critical turn-around of autopoietic systems theory. (shrink)

The author discusses Niklas Luhmann's concept of ethics and morals. Therefore he sketches the main traits of Luhmann's theory of systems (e.g. the terms autopoiesis, system and environment, code and programme). From the system-theoretical point of view, ethics are characterized as the reflexive theory of morals. Morals are described as the communication of regard or disregard. The author shows which consequences follow from this concept by discussing problems concerning several subsystems at the same time. The problems (...) of Luhmann's theory of morals and ethics are demonstrated by analyzing the concepts of risk and responsibility. Finally, the author demands that ethics should be understood even more as social ethics which reflect upon their social foundation in a more consequent way. (shrink)

Developmental systems theory (DST) is a general theoretical perspective on development, heredity and evolution. It is intended to facilitate the study of interactions between the many factors that influence development without reviving `dichotomous' debates over nature or nurture, gene or environment, biology or culture. Several recent papers have addressed the relationship between DST and the thriving new discipline of evolutionary developmental biology (EDB). The contributions to this literature by evolutionary developmental biologists contain three important misunderstandings of DST.

A systems theory for chemistry is proposed in order to provide a general framework, which covers different theoretical approaches used in the molecular sciences.The basic elements of systems theory are introduced and discussed.By construction, this systems chemistry offers classification and categorizationschemes that will help to identify the range of applicability of certain theoretical approachesas well as to find yet unanswered fundamental questions. Consequently, it will be of value not only to thosewho want to understand and study the structure (...) of chemistry, but it might also be of importance to daily research in chemistry. (shrink)

We define a mathematical formalism based on the concept of an ‘‘open dynamical system” and show how it can be used to model embodied cognition. This formalism extends classical dynamical systems theory by distinguishing a ‘‘total system’’ (which models an agent in an environment) and an ‘‘agent system’’ (which models an agent by itself), and it includes tools for analyzing the collections of overlapping paths that occur in an embedded agent's state space. To illustrate the way (...) this formalism can be applied, several neural network models are embedded in a simple model environment. Such phenomena as masking, perceptual ambiguity, and priming are then observed. We also use this formalism to reinterpret examples from the embodiment literature, arguing that it provides for a more thorough analysis of the relevant phenomena. (shrink)

The article introduces recursive ontology, a general ontology which aims to describe how being is organized and what are the processes that drive it. In order to answer those questions, I use a multidisciplinary approach that combines the theory of levels, philosophy and systems theory. The main claim of recursive ontology is that being is the product of a single recursive process of generation that builds up all of reality in a hierarchical fashion from fundamental physical particles to (...) human societies. To support this assumption, I provide the general laws and the basic principles of recursive ontology as well as a semi-formalised model of the theory based on a recursive generative grammar. Recursive ontology not only actively promotes a multidisciplinary investigation of reality, but also can be used as a general framework to develop future domain-specific theories. (shrink)

In this paper, I address the question of what the Developmental Systems Theory (DST) aims at explaining. I distinguish two lines of thought in DST, one which deals specifically with development, and tries to explain the development of the individual organism, and the other which presents itself as a reconceptualization of evolution, and tries to explain the evolution of populations of developmental systems (organism-environment units). I emphasize that, despite the claiming of the contrary by DST proponents, there are two (...) very different definitions of the ‘developmental system’, and therefore DST is not a unified theory of evolution and development. I show that the DST loses the most interesting aspects of its reconceptualization of development when it tries to reconceptualize evolutionary theory. I suggest that DST is about development per se, and that it fails at offering a new view on evolution. (shrink)

A fundamental link between system theory and statistical mechanics has been found to be established by the Kolmogorov entropy K. By this quantity the temporal evolution of dynamical systems can be classified into regular, chaotic, and stochastic processes. Since K represents a measure for the internal information creation rate of dynamical systems, it provides an approach to irreversibility. The formal relationship to statistical mechanics is derived by means of an operator formalism originally introduced by Prigogine. For a Liouville (...) operator L and an information operator $\tilde M$ acting on a distribution in phase space, it is shown that i[L, $\tilde M$ ]≡KI (I=identity operator). As a first consequence of this equivalence, a relation is obtained between the chaotic correlation time of a system and Prigogine's concept of a “finite duration of presence.” Finally, the existence of chaos in quantum systems is discussed with respect to the existence of a quantum mechanical time operator. (shrink)

It is often claimed (1) that levels of nature are related by supervenience, and (2) that processes occurring at particular levels of nature should be studied using dynamical systems theory. However, there has been little consideration of how these claims are related. To address the issue, I show how supervenience relations give rise to ‘supervenience functions’, and use these functions to show how dynamical systems at different levels are related to one another. I then use this analysis to describe (...) a graded approach to non-reductive physicalism, and to critically assess Davidson’s arguments for psychological anomaly. I also show how this approach can inform empirical research in cognitive science. (shrink)