We use a method suggested by Kolmogorov complexity to examine some relations between Kolmogorov complexity and noncomputability. In particular we show that the method consistently gives us more information than conventional ways of demonstrating noncomputability . Also, many sets which are awkward to embed into the halting problem are easily shown noncomputable. We also prove a gap-theorem for outputting consecutive integers and find, for a given length n, a statement of length n with maximal proof length.

Complex adaptive systems and nursingThere have been numerous references to complexity theory and complex systems in the recent healthcare literature, including nursing. However, exaggerated claims have (in my view) been made about how they can be applied to health service delivery, and there is a widespread tendency to misunderstand some of the concepts associated with complexity thinking (usually justified by describing the misconception as a metaphor). These conceptscanbe extended to systems and structures in healthcare organisations but, at this (...) stage in the development of complexity science, only in a modest and very cautious way. In this paper I first outline some of the key ideas in the theory of complex adaptive systems, and then suggest that they have been distorted by a series of influential articles in the medical literature. I go on to present a simple case study of my own and undertake a complexity analysis of it. In the conclusion I suggest that we should beware of some outdated ideas being trotted out in the guise of complexity — an exciting and diverse area of enquiry that those old ideas do not, in fact, resemble. (shrink)

An analysis of two heuristic strategies for the development of mechanistic models, illustrated with historical examples from the life sciences. In Discovering Complexity, William Bechtel and Robert Richardson examine two heuristics that guided the development of mechanistic models in the life sciences: decomposition and localization. Drawing on historical cases from disciplines including cell biology, cognitive neuroscience, and genetics, they identify a number of "choice points" that life scientists confront in developing mechanistic explanations and show how different choices result in (...) divergent explanatory models. Describing decomposition as the attempt to differentiate functional and structural components of a system and localization as the assignment of responsibility for specific functions to specific structures, Bechtel and Richardson examine the usefulness of these heuristics as well as their fallibility—the sometimes false assumption underlying them that nature is significantly decomposable and hierarchically organized. When Discovering Complexity was originally published in 1993, few philosophers of science perceived the centrality of seeking mechanisms to explain phenomena in biology, relying instead on the model of nomological explanation advanced by the logical positivists (a model Bechtel and Richardson found to be utterly inapplicable to the examples from the life sciences in their study). Since then, mechanism and mechanistic explanation have become widely discussed. In a substantive new introduction to this MIT Press edition of their book, Bechtel and Richardson examine both philosophical and scientific developments in research on mechanistic models since 1993. (shrink)

In our article, “Syntactic complexity effects in sentence production”, we reported two elicited production experiments and argued that there is a cost associated with planning and uttering syntactically complex, object-extracted structures that contain a non-local syntactic dependency. MacDonald et al. () have argued that the results of our investigation provide little new information on the topic. We disagree. Examining the production of subject versus object extractions in two constructions across two experimental paradigms—relative clauses in Experiment 1 and wh-questions in (...) Experiment 2—we found a strikingly similar pattern: reliable differences in latency and word durations, as well as in rates of disfluencies, signaling a greater cost associated with planning and uttering the syntactically more complex object extractions. MacDonald et al. reject that interpretation, namely that the differences we observed in the production of subject versus object extractions demonstrate asymmetric production difficulties. Here we address the concerns they raise by clarifying confusion and presenting novel experimental evidence in support of our original claims. (shrink)

Wherever we look, we notice complexity. Philosophically, the concept constitutes a tangled web of problems, in theory as well as daily life. Complexity and Analysis is a meticulous rendering of these problems, tackling the seldom considered nature of complexity that confronts ontological analysts and holists alike. Stewart Umphrey expertly describes the limits of analysis as they have come to light within mathematics, the natural sciences, and analytic philosophy, explaining how Aristotle came upon, and sought to move beyond, (...) the limits of ontological analysis. In trying to understand any complex entity, Umphrey argues, one succeeds in meeting the criterion of metaphysical adequacy only if one fails to meet the crietrion of epistemological adequacy. Ranging across an array of subjects including Kantian and Hegelian idealism, this book provides a superb account of how our own complexity presents not only theoretical problems, but ethical and political dilemmas of great practical significance. (shrink)

In _Complexity and Postmodernism_, Paul Cilliers explores the idea of complexity in the light of contemporary perspectives from philosophy and science. Cilliers offers us a unique approach to understanding complexity and computational theory by integrating postmodern theory into his discussion. _Complexity and Postmodernism_ is an exciting and an original book that should be read by anyone interested in gaining a fresh understanding of complexity, postmodernism and connectionism.

The need to establish a research field within psychology didactics at secondary level has recently been voiced by several researchers internationally. An analysis of a Swedish case coming out of secondary level education in psychology presented here provides an illustration that complexity thinking – derived from complexity theory – is uniquely placed to consider and indicate possible solutions to challenges, described by researchers as central to the foundation of a new field. Subject-matter didactics is defined for the purpose (...) of this paper as a combination of general didactics and subject- matter content, and considering the international nature of research traditions coming out of psychology, the implications of the results presented here cannot be regarded as limited solely to national concerns. An on-line survey was sent to secondary schools in Sweden. Discussions and lectures along with teaching to the book – alternatively used as inspiration – emerged as central from the thematic analysis of the results, providing the first mapping of teaching practices in secondary level psychology in Sweden. An analysis, founded on complexity thinking – combined with a model enabling a delimitation of the scope of study – focused on time use and the importance placed on self-knowledge, along with the transformation of theory into practice. The former pointing to a teacher centred nested subsystem (e.g. asymmetric relations between teachers and students), the latter pointing to student centred nested subsystems coming out of embodied knowledge (e.g. students as node) where psychological perspectives are learnt through self-reflexion, case studies and everyday life experiences (turning theory to practice), implying a holistic approach. The analysis applied to the Swedish case provides an illustration of how complexity theory has the potential to address challenges at micro and macro level to the establishment of a new research field in psychology didactics and to indicate possible solutions. Psychologies high relevance to everyday life, multi-causality, perspective pluralism, dynamic systems character and scientific character, makes complexity thinking a relevant approach in the consideration of challenges to the establishment of a research field in didactics of psychology. (shrink)

Debates on borders in both normative political theory and critical border studies tend to focus on the spatiality of bordering. This article evaluates this territorialist epistemology by identifying the complex temporality of borders and highlighting the specific normative challenges that it engenders. In particular, it argues for the centrality of time–space governance as a frame for examining bordering processes. This challenge is exemplified through contemporary debates on the movement of people and theoretical arguments about how to construct migration policy. The (...) article contends that complex temporality necessitates an orientation to the future that reconfigures the manner in which theorists should address the time–space governance of migration. (shrink)

In this chapter the author discusses some of Wittgenstein's statements, which directly concern the problem of linguistic complexity. The chapter provides a discussion on invented language games of the kind envisaged by Wittgenstein. The chapter explains two negative insights concerning the complexity of content in language. Summarized as claims they are: (1) there is no special realm of sense between “reality” and language, which would be the domain of grammar (or logical grammar); and (2) employing a complex sentence (...) is a complex action in a different sense of complexity than is the action of “singing from the score.” The author discusses the first thesis in talking about Wittgenstein's critical use of the picture of “meaning‐bodies” in conjunction with the discussion of the function of an expression in a sentence. (shrink)

This book presents introductions to the essential mathematical aspects of complexity science, suitable for advanced undergraduate/masters-level students and researchers.

What enables individually simple insects like ants to act with such precision and purpose as a group? How do trillions of individual neurons produce something as extraordinarily complex as consciousness? What is it that guides self-organizing structures like the immune system, the World Wide Web, the global economy, and the human genome? These are just a few of the fascinating and elusive questions that the science of complexity seeks to answer. In this remarkably accessible and companionable book, leading complex (...) systems scientist Melanie Mitchell provides an intimate, detailed tour of the sciences of complexity, a broad set of efforts that seek to explain how large-scale complex, organized, and adaptive behavior can emerge from simple interactions among myriad individuals. Comprehending such systems requires a wholly new approach, one that goes beyond traditional scientific reductionism and that re-maps long-standing disciplinary boundaries. Based on her work at the Santa Fe Institute and drawing on its interdisciplinary strategies, Mitchell brings clarity to the workings of complexity across a broad range of biological, technological, and social phenomena, seeking out the general principles or laws that apply to all of them. She explores as well the relationship between complexity and evolution, artificial intelligence, computation, genetics, information processing, and many other fields. Richly illustrated and vividly written, Complexity : A Guided Tour offers a comprehensive and eminently comprehensible overview of the ideas underlying complex systems science, the current research at the forefront of this field, and the prospects for the field's contribution to solving some of the most important scientific questions of our time. (shrink)

This chapter focuses on one of the common fallacies in Western philosophy called 'complex question (CQ)'. The fallacy of the CQ appears in two varieties. The implicit form distracts an interlocutor by assuming the truth of an unproven premise and shifting the focus of the argument in an unfounded direction. While the explicit form collapses two distinct questions into a single question such that a single answer would appear to satisfy both inquiries. The possibility that an undetected CQ might lead (...) a speaker to affirm additional, unspoken premises unintentionally makes this a popular tactic in police interrogations and debate cross‐examinations. Avoiding this rhetorical trap is only possible either by rejecting the question as posed and extemporaneously clarifying the situation on one's own terms or by remaining silent. (shrink)

This essay applies the material developed in The Wounded Researcher to education. The core issue in that book is the necessity to make a place for the complex unconscious in research in order to lay a foundation for an ethics that is based in deep subjectivity. The therapy room has characteristically been the place where this kind of work has occurred, and in this regard therapy has been a form of education. The boundaries of the therapy room have, however, exploded (...) and, given the awesome powers of technology to develop and communicate information, how do we make a place for the unconscious in our educational practices? Drawing upon the work of Carl Jung this essay addresses the following questions: How does one make a place for the unconscious in the classroom, without turning teaching into therapy?; How does a teacher make a place for the unconscious dynamics in the complex interactive field among himself/herself, the students, and the material without overwhelming students?; What are the limits and dangers of this effort?; What are the consequences if we continue to ignore these dynamics in the bodies of knowledge we build? Examples from teaching my book to graduate students in psychology are provided. (shrink)

Containing selected papers on the fundamentals and applications of Complexity Science, this multi-disciplinary book presents new approaches for resolving complex issues that cannot be resolved using conventional mathematical or software models. Complex Systems problems can occur in a variety of areas such as physical sciences and engineering, the economy, the environment, humanities and social and political sciences. Complexity Science problems, the science of open systems consisting of large numbers of diverse components engaged in rich interaction, can occur in (...) a variety of areas such as physical sciences and engineering, the economy, the environment, humanities and social and political sciences. The global behaviour of these systems emerges from the interaction of constituent components and is unpredictable but not random. The key attribute of Complex Systems is the ability to self-organise and adapt to unpredictable changes in their environment. (shrink)

This book explains the relationship between intelligence and environmental complexity, and in so doing links philosophy of mind to more general issues about the relations between organisms and environments, and to the general pattern of 'externalist' explanations. The author provides a biological approach to the investigation of mind and cognition in nature. In particular he explores the idea that the function of cognition is to enable agents to deal with environmental complexity. The history of the idea in the (...) work of Dewey and Spencer is considered, as is the impact of recent evolutionary theory on our understanding of the place of mind in nature. (shrink)

"The question of complex systems is relatively new for critics today. Analyzing complex systems in Renaissance texts shows that the Christian kabbalistical concept of harmonia mundi led to an aesthetical development, reflecting the worldview of harmonious parallel worlds. Failure to perceive the esoteric text uniting apparently contradicting themes has often led Renaissance scholars to elaborate a theory of the instability of atmospheres characterizing the English Baroque. This article gives an example of a complex system in Shakespeare's Antony and Cleopatra revealing (...) that the Christian kabbalistical Hercules unifies contradicting metaphors and intertexts of the play, and reintegrates this work in a form of semantic stability more in harmony with the aesthetics of its time. In the case of postmodern literature, contradictory intertexts appear as a device to deconstruct all values and logic previously established. With the study of a text structured by the optical questions around the refraction of light, this paper shows that in the case of Nabokov, the unifying system of apparently contradicting semantic systems is the underlying logic of scientific theory. In Nabokov's text, failing to perceive the fundamental intertext of scientific debate leads one to assimilate Nabokov's writing to a form of postmodern deconstruction. Both cases studied tend to show a continuity of a form of aesthetics through different epistemological eras.". (shrink)

"Put together one of the world's best science writers with one of the universe's most fascinating subjects and you are bound to produce a wonderful book.... The subject of complexity is vital and controversial. This book is important and beautifully done."--Stephen Jay Gould "[Complexity] is that curious mix of complication and organization that we find throughout the natural and human worlds: the workings of a cell, the structure of the brain, the behavior of the stock market, the shifts (...) of political power.... It is time science... thinks about meaning as well as counting information.... This is the core of the complexity manifesto. Read it, think about it... but don't ignore it."--Ian Stewart, "Nature" This second edition has been brought up to date with an essay entitled "On the Edge in the Business World" and an interview with John Holland, author of "Emergence: From Chaos to Order.". (shrink)

The complexity of human societies of the past few thousand years rivals that of social insect societies. We hypothesize that two sets of social “instincts” underpin and constrain the evolution of complex societies. One set is ancient and shared with other social primate species, and one is derived and unique to our lineage. The latter evolved by the late Pleistocene, and led to the evolution of institutions of intermediate complexity in acephalous societies. The institutions of complex societies often (...) conflict with our social instincts. The complex societies of the last few thousand years can function only because cultural evolution has created effective “work-arounds” to manage such instincts. We describe a series of work-arounds and use the data on the relative effectiveness of WWII armies to test the work-around hypothesis. (shrink)

Les analyses de la mondialisation procèdent souvent de modes de réflexion qui excluent le principe de non contradiction et conduisent à des hypothèses rigides sur son évolution. La pensée complexe, selon Edgar Morin, ne présente pas cette contrainte et admet, à l’instar de la pensée chinoise stricto sensu, la coexistence de contraires, dont le dynamisme, selon la philosophie taoïste devrait aboutir à l’harmonie. Cela laisse en quelque sorte du jeu, ouvrant ainsi la porte à une pluralité de possibles. Cet article (...) présente quelques-unes des parentés entre pensée complexe et mode de réflexion chinois. Il examine aussi une touche spécifique qu’apporte Edgar Morin, héritée de la pensée grecque. Elle concerne l’accompagnement de ce jeu des contraires, par la démocratie cognitive et communicationnelle, alors que le système de pensée chinois n’intègre pas cette question. Un pont est ainsi jeté entre les modes de pensée de l’Occident et d’Extrême-Orient.Analyzes of globalization often proceed ways of thinking that excludes the principle of non-contradiction and leads to rigid assumptions about its evolution. Complex thought, according to Edgar Morin, does not have this constraint and admits, like Chinese thought, strictly speaking, the coexistence of opposites, whose dynamism, according to Taoist philosophy should lead to harmony. This leaves some sort of game, thus opening the door to a plurality of possibilities. This article presents some of the kinship between complex thought and Chinese way of thinking. It also examines a specific key brings Edgar Morin, inherited from Greek thought. It relates to the accompaniment of this game of opposites, the cognitive and communicative democracy, while the Chinese system of thought does not include this question. A bridge is built between and modes of thought of the West and the Far East. (shrink)

This paper proposes that engineers in public service are confronted with unavoidable complexity in their ethical considerations. The complexity begins with interactions among venues of ethical choices. Engineers must make ethical choices simultaneously at the individual, professional, organizational and societal levels. These ethical domains often conflict. The complexity also stems from situations in which physical properties may remain stable, but important social, economic, institutional and political conditions can change substantially. The paper proposes that the reflective learning approach (...) of pragmatism can help with these challenging situations. This approach depends upon employing Dewey’s five stage process of inquiry to engage the ethical complexity inherent in the practice of engineering in the public service. (shrink)

The complex systems approach to cognitive science invites a new understanding of extended cognitive systems. According to this understanding, extended cognitive systems are heterogenous, composed of brain, body, and niche, non-linearly coupled to one another. This view of cognitive systems, as non-linearly coupled brain–body–niche systems, promises conceptual and methodological advances. In this article we focus on two of these. First, the fundamental interdependence among brain, body, and niche makes it possible to explain extended cognition without invoking representations or computation. Second, (...) cognition and conscious experience can be understood as a single phenomenon, eliminating fruitless philosophical discussion of qualia and the so-called hard problem of consciousness. What we call “extended phenomenological-cognitive systems” are relational and dynamical entities, with interactions among heterogeneous parts at multiple spatial and temporal scales. (shrink)

We investigate two constants cT and rT, introduced by Chaitin and Raatikainen respectively, defined for each recursively axiomatizable consistent theory T and universal Turing machine used to determine Kolmogorov complexity. Raatikainen argued that cT does not represent the complexity of T and found that for two theories S and T, one can always find a universal Turing machine such that equation image. We prove the following are equivalent: equation image for some universal Turing machine, equation image for some (...) universal Turing machine, and T proves some Π1-sentence which S cannnot prove. © 2011 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim. (shrink)

The epistemological ideal would aim to respect the different scientific traditions from which the scientist can be fed, which may not follow the hegemonic lines. Interpersonality in science would mean a scientific multiculturality that respects the different paradigms developed in epistemology. We will see which epistemological conception has a closer relation with the dimensions that trialism proposes, according to which law is composed with sociologic, normologic and dikelogic elements. In the end, it will be possible to have a clearer idea (...) of the complexity in a more diverse sense, which develops trialism not only as the vision of the lawyer’s profession, but also as a research perspective. The complex thought, as an epistemological attitude which is open to the different methodological tools provided by the different epistemological perspectives in the philosophy of science, allows a better coexistence of contradictory positions within a single epistemological posture. Thus, a scientist can profit from the different tools in each of them. Having proved the close relation between the trialistic theory and the complex thought, a scientist of law will be able to develop deeper research lines, having more respect for his tendencies in the trialism. El ideal epistemológico apuntaría a que se respeten las distintas tradiciones científicas en las que pueda abrevar el científico, que pueden no seguir las líneas hegemónicas. La interpersonalidad en la ciencia significaría una multiculturalidad científica respetuosa de los distintos paradigmas que se desarrollan en la Epistemología. Veremos qué concepción epistemológica se relaciona más con las dimensiones que plantea el trialismo según el cual el Derecho está compuesto de elementos sociológicos, normológicos y valorativos (dikelógicos). Al final de lo cual se hará más clara la complejidad, en el sentido de diversidad, que desarrolla la teoría trialista como perspectiva de investigación, y no sólo como herramienta para la profesión abogadil. El pensamiento complejo, como actitud epistemológica abierta a las distintas herramientas metodológicas que provienen de las diversas perspectivas en filosofía de la ciencia, permite una mayor convivencia de posiciones contrarias al interior de una misma postura epistemológica. Y así, un científico podrá aprovechar las distintas herramientas de cada una de ellas. Habiéndose probado la estrecha relación entre la teoría trialista y el pensamiento complejo, un científico del Derecho podrá desarrollar más líneas de investigación y con mayor profundidad, respetándose más sus tendencias, en el trialismo. (shrink)

Complex Pleasure deals with questions of literary feeling in eight major German writers—Lessing, Kant, Hölderlin, Nietzsche, Musil, Kafka, Trakl, and Benjamin. On the basis of close readings of these authors Stanley Corngold makes vivid the following ideas: that where there is literature there is complex pleasure; that this pleasure is complex because it involves the impression of a disclosure; that this thought is foremost in the minds of a number of canonical writers; that important literary works in the German tradition—fiction, (...) poetry, critique—can be illuminated through their treatment of literary feeling; and, finally, that the conceptual terms for these forms of feeling continually vary. The types of feeling treated in Complex Pleasure include wit (the startling perception of likeness) and the disinterested pleasure of aesthetic judgment; Hölderlin’s “swift conceptual grasp,” in which “the tempo of the process of thought is stressed”; “artistic imagination,” mood, sadistic enjoyment, rapturous distraction, homonymic dissonance, and courage as a mode of literary experience. At the same time, through the deftness, range, and surprise of its execution, the book itself conveys complex pleasure. The reader will also find fascinating, hitherto untranslated material by Nietzsche (“On Moods”) and Kafka (important sections from his journals and from his unfinished novel The Boy Who Sank Out of Sight). (shrink)

Unexpected discoveries in nonequilibrium physics and nonlinear dynamics are changing our understanding of complex phenomena. Recent research has revealed fundamental new properties of matter in far-from-equilibrium conditions, and the prevalence of instability-where small changes in initial conditions may lead to amplified effects.

The Complex-First Paradox regards the semantics of nouns and consists of a set of together incompatible, but individually well confirmed propositions about the evolution and development of language, the semantics of word classes and the cortical realization of word meaning. Theoretical and empirical considerations support the view that the concepts expressed by concrete nouns are more complex and their neural realizations more widely distributed in cortex than those expressed by other word classes. For a cortically implemented syntax–semantics interface, the more (...) widely distributed a concept’s neural realization is, the more effort it takes to establish a link between the concept and its expression. If one assumes the principle that in ontogeny and phylogeny capabilities demanding more effort develop, respectively, evolve later than those demanding less effort, the empirical observation seems paradoxical that the meanings of concrete nouns, in ontogeny and phylogeny, are acquired earlier than those of other word classes. (shrink)

The consensus among evolutionists seems to be that the morphological complexity of organisms increases in evolution, although almost no empirical evidence for such a trend exists. Most studies of complexity have been theoretical, and the few empirical studies have not, with the exception of certain recent ones, been especially rigorous; reviews are presented of both the theoretical and empirical literature. The paucity of evidence raises the question of what sustains the consensus, and a number of suggestions are offered, (...) including the possibility that certain cultural and/or perceptual biases are at work. In addition, a shift in emphasis from theoretical to empirical inquiry is recommended for the study of complexity, and guidelines for future empirical studies are proposed. (shrink)

Complexity is pleased to announce the installment of Prof Hiroki Sayama as its new Chief Editor. In this Editorial, Prof Sayama describes his feelings about his recent appointment, discusses some of the journal’s journey and relevance to current issues, and shares his vision and aspirations for its future.

So far, the sciences of complexity have received less attention from philosophers than from scientists. Responding to Salthe’s (Found Sci 15, 4(6):357–367, 2010a ) model of evolution, I focus on its metaphysical implications, asking whether the implications of his canonical developmental trajectory (CDT) must be materialistic as his reading proposes.

Computational complexity has often been ignored in the philosophy of mind, in philosophical artificial intelligence studies. The purpose of this paper is threefold. First and foremost, to show the importance of complexity rather than computability in philosophical and AI problems. Second, to rephrase the notion of computability in terms of solvability, i.e., treating computability as non-sufficient for establishing intelligence. The Church-Turing thesis is therefore revisited and rephrased in order to capture the ontological background of spatial and temporal (...) class='Hi'>complexity. Third, to emphasize ontological differences between different time complexities, which seem to provide a solid base for a better understanding of artificial intelligence in general. (shrink)

A complexity cosmography is introduced as construing a world that is self-organizing, dynamic, and emergent, and that comprises organic entities that too are self-organizing, dynamic, and emergent. Following critical reflection into the nature of utilising complexity in social inquiry, specific images, vocabularies and complexity-based methods and techniques as developed by the authors are introduced.

Various complex dynamics in ecologic-economic systems are presented with an emphasis upon models of global warming dynamics and fishery dynamics. Chaotic and catastrophic dynamic patterns are shown to be possible, along with other complex dynamics arising from nonlinearities in such combined systems. Problems associated with amplified oscillations due to these nonlinear interactions in the combined interactions of human economic decisionmaking with ecological dynamics are identified and discussed. Implications for policy are examined with strong recommendations for greater emphasis in particular upon (...) the precautionary principle to avoid catastrophic collapses beyond critical thresholds and the scale-matching principle to ensure that efforts to manage complex nonlinear dynamics are directed at the appropriate levels of ecologiceconomic interaction. Key Words: complex dynamics, chaos, catastrophe, fisheries, global warming.. (shrink)

I present evidence for a systematic complexity-coherence tradeoff in cognition. I show how feasible strategies for increasing cognitive complexity along three dimensions come at the expense of a heightened vulnerability to incoherence. I discuss two normative implications of the complexity-coherence tradeoff: a novel challenge to coherence-based theories of bounded rationality and a new strategy for vindicating the rationality of seemingly irrational cognitions. I also discuss how the complexity-coherence tradeoff sharpens recent descriptive challenges to dual process theories (...) of cognition. (shrink)

Computer-simulated scenarios have been part of psychological research on problem solving for more than 40 years. The shift in emphasis from simple toy problems to complex, more real-life oriented problems has been accompanied by discussions about the best ways to assess the process of solving complex problems. Psychometric issues such as reliable assessments and addressing correlations with other instruments have been in the foreground of these discussions and have left the content validity of complex problem solving in the background. In (...) this paper, we return the focus to content issues and address the important features that define complex problems. (shrink)

Managing Complexity in Healthcare introduces the ComEntEth (Complex Entropic Ethical) model as an integrated bio-medical and philosophical approach to understanding how people get things done in healthcare. Drawing on the complexity sciences, studies of entropy in living organisms, and the ethics of Emmanuel Levinas, healthcare is theorised as energetic relational exchanges between people as entropic and ethical entities that unfold around a central attractor: Reduction in elevated entropy or suffering in patients. Living entities are engaged in a continuous (...) struggle against the tendency to produce entropy. From the cellular to the collective of human endeavours, the tendency of complex systems is to disorder and decay. Yet in the micro-activity of healthcare enterprise, people resist this tendency by expending energy to create order and sustain life. Making sense of how this miraculous work is made possible is the foundation of this book. Through practical examples - from analysis of practitioner burnout, rural and remote healthcare, the functioning of emergency departments, to government, social and institutional responses to the COVID-19 pandemic -this new integral philosophy provides practitioners, managers, policy designers, and scholars an effective way to understand the dynamics of daily processes and practices that link the micro of everyday interactions with the macro-trends of healthcare. (shrink)

The brains of higher mammals are extraordinary integrative devices. Signals from large numbers of functionally specialized groups of neurons distributed over many brain regions are integrated to generate a coherent, multimodal scene. Signals from the environment are integrated with ongoing, patterned neural activity that provides them with a meaningful context. We review recent advances in neurophysiology and neuroimaging that are beginning to reveal the neural mechanisms of integration. In addition, we discuss concepts and measures derived from information theory that lend (...) a theoretical basis to the notion of complexity as integration of information and suggest new experimental tests of these concepts. (shrink)

Complex regional pain syndromes (reflex sympathetic dystrophy, causalgia) are often characterized by pain and autonomic and motor abnormalities. Pathophysiological mechanisms are in the central and peripheral nervous system. Differences in skin temperature and may be used as diagnostic criteria. Sympathetic blocks relieve pain and other symptoms in a subgroup of patients (sympathetically maintained pain, SMP).[blumberg et al.].

What exactly is complexity science? Two's company, three is complexity ; Disorder rules, OK? ; Chaos and all that jazz ; Mob mentality ; Getting connected -- What can complexity science do for me? Forecasting financial markets ; Tackling traffic networks and climbing the corporate ladder ; Looking for Mr./Mrs. Right ; Coping with conflict : next-generation wars and global terrorism -- Catching a cold, avoiding super-flu and curing cancer ; The mother of all complexities : our (...) nanoscale quantum world ; To infinity and beyond. (shrink)

Universal Basic Income (UBI) has been proposed as a potential way in which welfare states could be made more responsive to the ever-shifting evolutionary challenges of institutional adaptation in a dynamic environment. It has been proposed as a tool of “real freedom” (Van Parijs) and as a tool of making the welfare state more efficient. (Friedman) From the point of view of complexity theory and evolutionary economics, I argue that only a welfare state model that is “polycentrically” (Polanyi, Hayek) (...) organized as an evolving network of distributed decision-making can respond to the challenges of complexity in an adaptively efficient manner. UBI has the theoretical possibility to facilitate flexible, bottom-up innovation, since a) it embodies the “rule of law” principles of generality, nondiscrimination, simplicity, and transparency, and b) it grants people widespread freedom to experiment, innovate, and deviate from established practices and norms; but whether it can be made to work as intended depends on a number of variables in its design. I situate my research in the contemporary UBI debate around automation and technological development, which I interpret creatively through the lens of contemporary evolutionary political economy. I advance a syncretic model of institutional design based upon the shared insights of the Santa Fe, Neo-Hayekian, and Neo-Schumpeterian schools of evolutionary economics that, following Adam Thierer and Michael Munger, I call the framework of Permissionless Innovation (PI). Under the PI framework, which is a development of the tradition of evolutionary liberalism (Hume, Smith, Mandeville, Mill, Hayek, Polanyi, Schumpeter, Hodgson), individuals are granted the default right to innovate without having to ask for permission, and the right to basic income, which they can use to support their right to innovate, mutate, and experiment. This framework is a liberal framework to the extent it relies on widespread human freedom as a means of fostering innovation and social learning. And it is an evolutionary framework to the extent that it seeks to facilitate evolutionary socioeconomic processes for the sake of social progress and welfare advancement. I proceed to show, through an analysis of how innovation operates in both the economy and the cultural domain, that UBI can be used as an important cornerstone of an evolutionary liberal model of “ecostructural” governance that treats the socioeconomic order as an ecological garden of spontaneous growths, adaptations, and innovations. I call this the Permissionless Innovation Universal Basic Income (PIUBI) framework. In it, the right to innovate, deviate, and mutate is upheld as the “gold standard” of institutional design whereby individuals are granted widespread freedoms combined with the provision of UBI and other innovation-fostering (carefully bound) services and regulations. In the coming decades, UBI may even enable poor people to take better advantage of Human Enhancement Technologies (HETs) and other experimental innovations. Such a framework is compatible with a fast pace of evolutionary development, but the regulatory model accompanying such a framework must be capable of responding to evolutionary lock-ins, maladaptive innovations, self-destructive behaviour on the part of UBI recipients, and the management of catastrophic and existential risks. In the end, I will have shown that the PIUBI framework can be justified as a plausible default institutional mechanism for responding to radical uncertainty, but it needs to be experimentally adapted to changing circumstances with the help of various situation-specific, polycentric, multi-level, approaches. (shrink)

Our world is enormously sophisticated and nature's complexity is literally inexhaustible. As a result, projects to describe and explain natural science can never be completed. This volume explores the nature of complexity and considers its bearing on our world and how we manage our affairs within it.Rescher's overall lesson is that the management of our affairs within a socially, technologically, and cognitively complex environment is plagued with vast management problems and risks of mishap. In primitive societies, failure to (...) understand how things work can endanger a family or, at worst, a clan or tribe. In the modern world, man-made catastrophes on the model of Chernobyl can endanger millions, possibly even risking the totality of human life on our planet. Rescher explains "technological escalation" as a sort of arms race against nature in which scientific progress requires more powerful technology for observation and experimentation, and, conversely, scientific progress requires the continual enhancement of technology. The increasing complexity of science and technology (and, in consequence, of social systems) along with problems growing faster than solutions confront us with major management and decision problems.This study is the first of its kind. There have been many specialized studies of complexity in physics and computation theory, but no overall analysis of the phenomenon. Although Rescher offers a sobering outlook, he also believes that complexity entails mixed blessings: our imperfect knowledge provides a rationale for putting forth our best efforts. Rescher urges us to gear the conduct of life's practical affairs to the demands of a complex world. This highly readable and accessible volume will be of interest to those interested in philosophy, the philosophy of science, science policy studies, and future studies. (shrink)

Complexity theories are on the way to establish a new worldview—processes instead of objects, history and uniqueness of everything instead of repetition and lawlikeness are the elements. These theories from deterministic chaos via the dissipative structures, the theory of catastrophes, self organization and synergetics are mathematical models, connected with a new understanding of science. They are characterized by new fundamental commitments of sciences. But at the same time, they are characterized by epistemic boundaries.

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 the appearance of distinctive spatial and temporal structures. Underlying an occurrence of emergence is an instability involving the transition from one stable regime to another, where distinct space-time scales acquire relevance across the transition. The structures on the two sides of the transition are characterized by distinct sets of state variables where, on one side of the transition, collective variables make their appearance. -/- Complexity and emergence are viewed in this book in the context of the Kantian noumenal-phenomenal divide. The noumenal reality is the repository of all the complexity that there is, while the phenomenal reality emerges from the noumenal in the process of our perception, interpretation, and inference. The noumenal exists in itself as a self-determined whole, and reveals itself to us in fragmentary patches as skewed projections that we assemble to form our phenomenal world that keeps on emerging ceaselessly. Our own biological evolution and the evolution of our phenomenal world occurs in a mutually consistent process, that can be referred to as co-evolution. -/- We seek regularities in the phenomenal world by means of our scientific theories which are often successful, but that success is fragile as, over larger spans of space and time, anomalies make their appearance, giving a lie to the simplicity and regularity previously presumed to have been unearthed. Simplicity, regularity, and harmony are only fleetingly located in the phenomenal world by means of our theories as these keep on being revised endlessly and often radically, thereby generating a mosaic of theories that becomes ever more complex, indicating a pervasive complexity of the noumenal world from which the phenomenal emerges by way of strictly limited projections. The foundational metaphysics on which this book is based tells us that reality is fundamentally complex, while tiny islands of simplicity, regularity, and harmony are embedded in it in isolated space-time domains. (shrink)

Ecosystems, the human brain, ant colonies, and economic networks are all complex systems displaying collective behaviour, or emergence, beyond the sum of their parts. Complexity science is the systematic investigation of these emergent phenomena, and stretches across disciplines, from physics and mathematics, to biological and social sciences. This introductory textbook provides detailed coverage of this rapidly growing field, accommodating readers from a variety of backgrounds, and with varying levels of mathematical skill. Part I presents the underlying principles of (...) class='Hi'>complexity science, to ensure students have a solid understanding of the conceptual framework. The second part introduces the key mathematical tools central to complexity science, gradually developing the mathematical formalism, with more advanced material provided in boxes. A broad range of end of chapter problems and extended projects offer opportunities for homework assignments and student research projects, with solutions available to instructors online. Key terms are highlighted in bold and listed in a glossary for easy reference, while annotated reading lists offer the option for extended reading and research. (shrink)

Syntactic complexity effects have been investigated extensively with respect to comprehension . According to one prominent class of accounts , certain structures cause comprehension difficulty due to their scarcity in the language. But why are some structures less frequent than others? In two elicited-production experiments we investigated syntactic complexity effects in relative clauses and wh-questions varying in whether or not they contained non-local dependencies. In both experiments, we found reliable durational differences between subject-extracted structures and object-extracted structures : (...) Participants took longer to begin and produce object-extractions. Furthermore, participants were more likely to be disfluent in the object-extracted constructions. These results suggest that there is a cost associated with planning and uttering the more syntactically complex, object-extracted structures, and that this cost manifests in the form of longer durations and disfluencies. Although the precise nature of this cost remains to be determined, these effects provide one plausible explanation for the relative rarity of object-extractions: They are more costly to produce. (shrink)

Autophagy and YAP1‐WWTR1/TAZ signalling are tightly linked in a complex control system of forward and feedback pathways which determine different cellular outcomes in differing cell types at different time‐points after perturbations. Here we extend our previous experimental and modelling approaches to consider two possibilities. First, we have performed additional mathematical modelling to explore how the autophagy‐YAP1 crosstalk may be controlled by posttranslational modifications of components of the pathways. Second, since analogous contrasting results have also been reported for autophagy as a (...) regulator of other transduction pathways engaged in tumorigenesis (Wnt/β‐catenin, TGF‐β/Smads, NF‐kB or XIAP/cIAPs), we have considered if such discrepancies may be explicable through situations involving competing pathways and feedback loops in different cell types, analogous to the autophagy‐YAP/TAZ situation. Since distinct posttranslational modifications dominate those pathways in distinct cells, these need to be understood to enable appropriate cell type‐specific therapeutic strategies for cancers and other diseases. (shrink)

In the philosophy of science, increasing attention has been given to the methodological novelties associated with the study of complex systems. However, there is little agreement on exactly what complex systems are. Although many characterizations of complex systems are available, they tend to be either impressionistic or overly formal. Formal definitions rely primarily on ideas from the study of computational complexity, but the relation between these formal ideas and the messy world of empirical phenomena is unclear. Here, I give (...) a definition of complex systems that draws on algorithmic complexity theory, but also provides a way of interpreting the formal idea in an empirical setting. I then use the definition to show that two canonical forms of scientific idealization are empirically inadequate when applied to complex systems. The inadequacy of these forms of idealization is shown to be the primary reason that complex systems require novel methods. Moreover, this demand for novel methods helps explain the rise of complex systems science as an autonomous discipline. (shrink)