A systematic theory of naturalism, bridging metaphysics and the science of complexity and emergence.

Despite its current popularity, “emergence” is a concept with a venerable history and an elusive, ambiguous standing in contemporary evolutionary theory. This paper briefly recounts the history of the term and details some of its current usages. Not only are there radically varying interpretations about how to define emergence but “reductionist” and “holistic” theorists hold very different views about the issue of causation. However, these two seemingly polar positions are not irreconcilable. Reductionism, or detailed analysis of the parts and their (...) interactions, is essential for answering the “how” question in evolution—how does a complex living system work? But holism is equally necessary for answering the “why” question—why did a particular arrangement of parts evolve? In order to answer the “why” question, a broader, multi-leveled paradigm is required. The reductionist approach to explaining emergent complexity has entailed a search for underlying “laws of emergence.” In contrast, the “Synergism Hypothesis” focuses on the “economics”—the functional effects produced by emergent wholes and their selective consequences in evolutionary change. This paper also argues that emergent phenomena represent, in effect, a subset of a larger universe of cooperative, synergistic effects in the natural world. (shrink)

Gilles Deleuze takes up the challenge to create a philosophy of the interesting, the remarkable and the unusual. He does this in what Alain Badiou calls the ‘‘Grand Style’’, the style of Descartes, Spinoza and Kant whose philosophies arise in relation to developments in the natural sciences and mathematics. Grounding himself in the molar-molecular pair, Deleuze sets out a new image of thought. He conceptualises an immanent but still relatively closed, deterministic, atomistic and reversible system that is not immediately reduced (...) to entropic equilibrium because its processes take place on the molecular level, at speeds which he hypothesises are beyond the speed of light. He postulates a manifold, a sphere of immanence that is the entire universe and not merely the Earth or our solar system. It is a system governed by sensitivity to initial starting points and unstable boundaries, thus although it is chaotic as well as probabilistic, it remains a mathematically formal, deterministic system. (shrink)

The concept of complexity has become very important in theoretical biology. It is a many faceted concept and too new and ill defined to have a universally accepted meaning. This review examines the development of this concept from the point of view of its usefulness as a criteria for the study of living systems to see what it has to offer as a new approach. In particular, one definition of complexity has been put forth which has the necessary precision and (...) rigor to be considered as a useful categorization of systems, especially as it pertains to those we call living. This definition, due to Robert Rosen, has been developed in a number of works and involves some deep new concepts about the way we view systems. In particular, it focuses on the way we view the world and actually practice science through the use of the modelling relation. This mathematical object models the process by which we assign meaning to the world we perceive. By using the modelling relation, it is possible to identify the subjective nature of our practices and deal with this issue explicitly. By so doing, it becomes clear that our notion of complexity and especially its most popular manifestations, is in large part a product of the historical processes which lead to the present state of scientific epistemology. In particular, it is a reaction to the reductionist/mechanistic view of nature which can be termed the Newtonian Paradigm. This approach to epistemology has dominated for so long that its use as a model has become implicit in most of what we do in and out of science. The alternative to this approach is examined and related to the special definition of complexity given by Rosen. Some historical examples are used to emphasize the dependence of our view of what is complex in a popular sense on the ever changing state of our knowledge. The role of some popular concepts such as chaotic dynamics are examined in this context. The fields of artificial life and related areas are also viewed from the perspective of this rigorous view of complexity and found lacking. The notion that in some way life exists at the edge of chaos is examined from the perspective of the second law of thermodynamics given by Schneider and Kay. Finally, the causal elements in complex systems are explored in relation to complexity. Rosen has shown that a clear difference in causal relations exists between complex and simple systems and that this difference leads to a uniquely useful definition of what we mean by living. Rosen makes it very clear that the class of systems which are complex is a much larger class than those which we call living. For that reason, the focus of this review will be on complexity as a stepping stone towards the deeper question of what makes a system alive. (shrink)

If the problem of the origin of life is conceptualized as a process of emergence of biochemistry from proto-biochemistry, which in turn emerged from the organic chemistry and geochemistry of primitive earth, then the resources of the new sciences of complex systems dynamics can provide a more robust conceptual framework within which to explore the possible pathways of chemical complexification leading to living systems and biosemiosis. In such a view the emergence of life, and concomitantly of natural selection and biosemiosis, (...) is the result of deep natural laws (the outlines of which we are only beginning to perceive) and reflects a degree of holism in those systems that led to life. Further, such an approach may lead to the development of a more general theory of biology and of natural organization, one informed by semiotic concepts. (shrink)

The design argument was rebutted by David Hume. He argued that the world and its contents (such as organisms) were not analogous to human artifacts. Hume further suggested that there were equally plausible alternatives to design to explain the organized complexity of the cosmos, such as random processes in multiple universes, or that matter could have inherent properties to self-organize, absent any external crafting. William Paley, writing after Hume, argued that the functional complexity of living beings, however, defied naturalistic explanations. (...) In effect he dared anyone to come up with an alternative to his inference to design, and hence a designer, outside of nature. Charles Darwin explained the apparent design of functional complexity by his theory of natural selection. Asa Gray, however, in essays as well as in correspondence with Darwin argued that natural selection allowed for a type of ‘evolutionary teleology’ in which design at most could be considered the result of universal principles. F.E. Hicks updated Hume by specifically objecting to the use of design arguments by Paley. Hicks argued that the apparent design seen in nature reflected order at a deep level in nature. The design argument was briefly revived by Lawrence Henderson early in the twentieth century but he ultimately concluded that design and teleology were not necessarily mutually entailing and he retracted his design argument in favor of one that he termed ‘natural teleology’. The current claims of ‘intelligent design’ have the same logical problems that have beset previous design arguments. If design is divorced from teleology and its discontents put behind us, then there is a possibility that the latter can have a place in the development of theories to explain the phenomena of emergent complexity. (shrink)

The design argument was rebutted by David Hume. He argued that the world and its contents (such as organisms) were not analogous to human artifacts. Hume further suggested that there were equally plausible alternatives to design to explain the organized complexity of the cosmos, such as random processes in multiple universes, or that matter could have inherent properties to self-organize, absent any external crafting. William Paley, writing after Hume, argued that the functional complexity of living beings, however, defied naturalistic explanations. (...) In effect he dared anyone to come up with an alternative to his inference to design, and hence a designer, outside of nature. Charles Darwin explained the apparent design of functional complexity by his theory of natural selection. Asa Gray, however, in essays as well as in correspondence with Darwin argued that natural selection allowed for a type of ' evolutionary teleology' in which design at most could be considered the result of universal principles. F. E. Hicks updated Hume by specifically objecting to the use of design arguments by Paley. Hicks argued that the apparent design seen in nature reflected order at a deep level in nature. The design argument was briefly revived by Lawrence Henderson early in the twentieth century but he ultimately concluded that design and teleology were not necessarily mutually entailing and he retracted his design argument in favor of one that he termed ' natural teleology'. The current claims of ' intelligent design' have the same logical problems that have beset previous design arguments. If design is divorced from teleology and its discontents put behind us, then there is a possibility that the latter can have a place in the development of theories to explain the phenomena of emergent complexity. (shrink)

A rapidly growing body of scholarship shows that we can gain new insights into theories and policies by understanding and increasing their systemic structure. This paper will present an overview of this expanding field and discuss how concepts of structure are being applied in a variety of contexts to support collaboration, decision making, learning, prediction, and results. Next, it will delve into the underlying structures of logic that may be found within those theories and policies. Here, we will go beyond (...) Toulmin’s logics of claim and proof that have not proven useful for advancing the social sciences and focus on five structures of “causal logic.” The results suggest a useful and more comprehensive approach to developing deeper understanding of our conceptual systems such as theory and policy. (shrink)

Living organisms are currently most often seen as complex dynamical systems that develop and evolve in relation to complex environments. Reflections on the meaning of the complex dynamical nature of living systems show an overwhelming multiplicity in approaches, descriptions, definitions and methodologies. Instead of sustaining an epistemic pluralism, which often functions as a philosophical armistice in which tolerance and so-called neutrality discharge proponents of the burden to clarify the sources and conditions of agreement and disagreement, this paper aims at analysing: (...) (i) what has been Kant's original conceptualisation of living organisms as natural purposes; (ii) how the current perspectives are to be related to Kant's viewpoint; (iii) what are the main trends in current complexity thinking. One of the basic ideas is that the attention for structure and its epistemological consequences witness to a great extent of Kant's viewpoint, and that the idea of organisational stratification today constitutes a different breeding ground within which complexity issues are raised. The various approaches of complexity in biological systems are captured in terms of two different styles, universalism and (weak and strong) constructivism, between which hybrid forms exist. (shrink)

In this article, the author argues that complexity theories have limited use in the study of society, and that social processes are too complex and particular to be rigorously modeled in complexity terms. Theories of social complexity are shown to be inadequately developed, and typical weaknesses in the literature on social complexity are discussed. Two stronger analyses, of Luhmann and of Harvey and Reed, are also critically considered. New considerations regarding social complexity are advanced, on the lines that simplicity, complexity (...) that can be modeled, and incondensible complexity permeate society simultaneously. The difficulty of establishing complexity models for processes involving ongoing interpretation is discussed. It is argued that the notions of system and environment need recasting in social studies. Existing social studies and literature, it is argued, reflect a polymorphous, contextual, contingent, labyrinthine, dramatic and political face to social complexity. Students of social complexity must be literate in such studies. (shrink)

This article focuses on emergence in social systems. The author begins by proposing a new tool to explore the mechanisms of social emergence: multi agent–based computer simulation. He then draws on philosophy of mind to develop an account of social emergence that raises potential problems for the methodological individualism of both social mechanism and of multi agent simulation. He then draws on various complexity concepts to propose a set of criteria whereby one can determine whether a given social mechanism generates (...) emergent properties, in the sense that their explanation cannot be reduced to a mechanistic account of individuals and their interactions. This combined account helps to resolve the competing claims of methodological individualists and social realists. The author’s conclusion is that the scope of mechanistic explanation may be limited due to the extreme complexity of many social systems. Key Words: emergence • mechanism • computer simulation • methodological individualism • social realism. (shrink)

This philosophical anthropology tries to explore the basic categories of man’s being in the worlds using a special quantum meta-ontology that is introduced in the book. Quantum understanding of space and time, consciousness, or empirical/nonempirical reality elicits new questions relating to philosophical concerns such as subjectivity, free will, mind, perception, experience, dialectic, or agency. The authors have developed an inspiring theoretical framework transcending the boundaries of particular disciplines, e.g. quantum philosophy, metaphysics of consciousness, philosophy of mind, phenomenology of space and (...) time, and ontological relativity. (shrink)

The article confronts Cornelius Castoriadis's philosophy of 'the imaginary institution of society' with issues of innovation in a knowledge society and outlines a new notion of innovation as creative organization. It will take a critical approach to innovation from a historical perspective of postwar systems theory and introduce Castoriadis's philosophy as an interesting option in this regard. It proceeds in four parts: (a) First, it debates the limits of the commonplace metaphor of diffusion and adoption in today's debate on innovation. (...) (b) Second, it will present aspects of Castoriadis's thought as an alternative, in particular his debate on imagination and the proto-institution of legein/teukhein — ordered action. (c) On this background it will treat a case from the Danish innovation industry, the firm Zentropa WorkZ's programme of 'Dramatic Innovation' as an interesting example of an innovation format addressing creativity. (d) In conclusion, it will briefly debate creative knowledge formation in a knowledge society by pondering relations between innovation and current science. (shrink)

The article reviews Suzi Adams’s book on Cornelius Castoriadis, Castoriadis’s Ontology: Being and Creation, by debating the options and possible deficits in Castoriadis’s notion of creativity. While Adams criticizes Castoriadis for neglecting the overarching – and horizontal – worldliness that must ultimately condition creativity in various instances of interpretation, in the most expanded sense as a cosmology, the review ponders an alternative approach which focus on Castoriadis’s creativity seen as a notion of a lateral and emergent positing of the novel, (...) ‘creations ex nihilo – but not in nihilo or cum nihilo’, with the statement in one of the last exposures of his thought. (shrink)

This article discusses the issue of social and cultural ‘autotranscendence’ - self-production, creativity - in the debates on self-organization. The point of departure is Cornelius Castoriadis’s idea of ‘self-creation’. First, a schisma between mechanical and ontological modeling is indicated and used to introduce the idea of a ‘creative organization’. This is further discussed in relation to Jean-Pierre Dupuy’s concept of social ‘autotranscendence’ by ‘complex methodological individualism’, with particular respect to the incomprehension of the social. Following Johann P. Arnason’s treatment of (...) the question of cultural articulation in Castoriadis, the article argues that the problem of autotranscendence presents a further problem of self-creation discernible in Castoriadis’s notions of phusis/nomos, living being/human, and constraint/magma. The article closes with a consideration of Duncan Watts, Alberto-László Barabási and Bernardo Huberman’s sketch of a network sociology. (shrink)

Taking precautions to prevent harm. Whether principe de précaution, Vorsorgeprinzip, føre-var prinsippet, or försiktighetsprincip, etc., the precautionary principle embodies the idea that public and private interests should act to prevent harm. Furthermore, the precautionary principle suggests that action should be taken to limit, regulate, or prevent potentially dangerous undertakings even in the absence of absolute scientific proof. Such measures also naturally entail taking economic costs into account. With the environmental disasters of the 1980s, the precautionary principle established itself as an (...) operational concept. On the eve of the 1997 Climate Summit in Kyoto, precaution, as the precautionary principle is often referred to, has now become a key legal principle in environmental law, in general, and in current international climate negotiations, in particular, attempts to understand why. It examines in turn the natural affinity between the precautionary principle and climate change, reviews a series of issues which the principle raises, and discusses avenues which it opens paper, climate change fulfills the theoretical requirements set for the application of the precautionary principle. It comes as no surprise that the actual application of the precautionary principle in the context of climate change raises high political stakes. As a result, climate change science, in particular, and science, in general, is under the fire of politically-motivated scientific skeptics. Thus, by way of the counter-measures which must be put into effect, the precautionary principle calls for a greater sense of responsibility on the part of scientists and the public at large. Specifically, from scientists, it demands perseverance in rigor, excellence in communication, and committment to education. However, even if special efforts are made to implement the precautionary principle in the context of climate change, the success of climate change mitigation will constitute no test of the validity, the usefulness, or the efficiency of the precautionary principle. Indeed, the degree to which climate change mitigation succeeds only provides a measure of our kind's ability to manage responsibly the global commons which we inherited from our ancestors and which our generation enjoys, the global commons which we will pass on to today's children and to generations to come. (shrink)

This paper presents and discusses an authentic landmark in the history of science, namely H. v. Foerster’s Cybernetics of Cybernetics, 1974. This is a book rarely known even by many specialists. This paper argues that von Foerster’s book constitutes a unique achievement in the history of science. A thorough presentation is introduced that brings a complete panorama of concepts, problems and approaches.

Intractability and optimality are two sides of one coin: Optimal models are often intractable, that is, they tend to be excessively complex, or NP-hard. We explain the meaning of NP-hardness in detail and discuss how modem computer science circumvents intractability by introducing heuristics and shortcuts to optimality, often replacing optimality by means of sufficient sub-optimality. Since the principles of decision theory dictate balancing the cost of computation against gain in accuracy, statistical inference is currently being reshaped by a vigorous new (...) trend: the science of simplicity. Simple models, as we show for specific cases, are not just tractable, they also tend to be robust. Robustness is the ability of a model to extract relevant information from data, disregarding noise.Recently, Gigerenzer, Todd and the ABC Research Group (1999) have put forward a collection of fast and frugal heuristics as simple, boundedly rational inference strategies used by the unaided mind in real world inference problems. This collection of heuristics has suggestively been called the adaptive toolbox. In this paper we will focus on a comparison task in order to illustrate the simplicity and robustness of some of the heuristics in the adaptive toolbox in contrast to the intractability and the fragility of optimal solutions. We will concentrate on three important classes of models for comparison-based inference and, in each of these classes, search for that to be used as benchmarks to evaluate the performance of fast and frugal heuristics: lexicographic trees, linear modes and Bayesian networks. Lexicographic trees are interesting because they are particularly simple models that have been used by humans throughout the centuries. Linear models have been traditionally used by cognitive psychologists as models for human inference, while Bayesian networks have only recently been introduced in statistics and computer science. Yet it is the Bayesian networks that are the best possible benchmarks for evaluating the fast and frugal heuristics, as we will show in this paper. (shrink)

This article focuses on emergence in social systems. The author begins by proposing a new tool to explore the mechanisms of social emergence: multi agent–based computer simulation. He then draws on philosophy of mind to develop an account of social emergence that raises potential problems for the methodological individualism of both social mechanism and of multi agent simulation. He then draws on various complexity concepts to propose a set of criteria whereby one can determine whether a given social mechanism generates (...) emergent properties, in the sense that their explanation cannot be reduced to a mechanistic account of individuals and their interactions. This combined account helps to resolve the competing claims of methodological individualists and social realists. The author’s conclusion is that the scope of mechanistic explanation may be limited due to the extreme complexity of many social systems. (shrink)

This research calls for attention to complexity theory and the integration of complexity methodologies in policy research. A complexity approach in research practice requires a systems worldview and recognition of non-linearity, networks, self-organization, emergence, and feedback in policy. Simply, if a phenomenon is complex and can be explored from varied contexts and scales, the conceptual frame, and the methodical approach should be able to address the complexity. Complexity science has the capacity to account for complexity in varied contexts, on varied (...) scales, and with an interrelated and interdependent environment. Further, if policy systems are at times simple, complicated, complex, and chaotic, then complexity mythologies combined with traditional qualitative and quantitative methods can bring to light the workings of the elusive black box. Complexity allows for triangulation of both linear and non-linear methodologies integrating qualitative, quantitative, network analysis, and agent-based models, as well as other methodologies. Complexity science is not the panacea to solve all policy problems with perfection. But if you do not acknowledge the complexity you will be missing out on the opportunity to shape patterns of sustainability, to effectively manage complex policy problems to someday solve them. (shrink)

Radical Constructivism has been defined as anunconventional approach to the problem ofknowledge and knowing. Its unconventionalityis summarised by its claim that it isimpossible to attribute unique meaning toexperience – as no mind-independent yardstick canbe assumed to exist against which to identifyuniqueness, and hence to produce knowledge andknowing. In other words, it is claimed thatthere is no reality that is knowable to allindividual knowers. This claim appearsindefensible by itself, as it does not explainwhy the successes of traditional science appearas such. However, (...) it is defensible in thecontext of numerous failures to achieve uniqueattributions, or of the history of science.Even so, what is missing are concrete methodsand research designs. This often leaves RadicalConstructivism to be critical only, toconcentrate on justifying the impossibility ofsuccess without contributing itself.Where this is the case it reduces scientiststo individuals considered unable to communicatewith others on public (and unique)attributions-who may do so only by borrowingmethods from previous approaches. It is arguedthat a more valuable contribution is possibleif Radical Constructivism is seen as a responseto the challenge defined by frequent failuresof traditional approaches. The latter may beextended such that the extensions converge toRadical Constructivism. Such extensions arebased on reported observations, rather than onexperiences in general, and are to beattributed meanings – uniquely as well asnon-uniquely – by way of a collective. The lattershould allow its actors to restrict whatmaintains the collective to what is observableto others, as well as use the collective torestrict their own observations. The study ofcollectives thus allows for the study ofrestrictions or values, and hence for includingsubjective or constructivist experiences beyond(reportable) observations. (shrink)