Complexity and emergence (the appearance and impact of the new) can be the bane of managers and their organizations. Both complexity and emergence threaten to upset adherence to predefined categories, which supposedly allows for efficiency. Indeed, traditional management thinking focuses on a retrospective coherence where ideas and events are assigned to categories, the categories are labeled, and outliers are treated as statistical deviants. The study of how such attributed (retrospective) sense-making breaks down in and around organizations is (...) the focus of social complexity theory. Coherence in the Midst of Complexity discusses the social complexity approach, where dialogue and stories allow for the degrees of freedom needed for the opportunities of emergence to take root. The book focuses on the experience of coherence and how such experiential lessons differ from the establishment and maintenance of categories and labels. The authors offer a four-fold logic for discussing experiential coherence and the embrace of emergence in organizations of all sizes. (shrink)

This book explores the theories of chaos and complexity as applied to a variety of disciplines including political science, organizational and management science, economics, and education.

To understand how compliance develops both in everyday and corporate environments, it is crucial to understand how different mechanisms work together to shape individuals’ (non)compliant behavior. Existing compliance studies typically focus on a subset of theories (i.e., rational choice theories, social theories, legitimacy theories, capacity theories, and opportunity theories) to understand how key variables from one or several of these theories shape individual compliance. The present study provides a first integrated understanding of compliance, rooted in complexity science, in which (...) key elements from these theories are considered simultaneously, and their relations to compliance and each other are explored using network analysis. This approach is developed by analyzing online survey data (_N_ = 562) about compliance with COVID-19 mitigation measures. Traditional regression analysis shows that elements from nearly all major compliance theories (except for social theories) are associated with compliance. The network analysis revealed groupings and interconnections of variables that did not track the existing compliance theories and point to a complexity overlooked in existing compliance research. These findings demonstrate a fundamentally different perspective on compliance, which moves away from traditional narrow, non-network approaches. Instead, they showcase a complexity science understanding of compliance, in which compliance is understood as a network of interacting variables derived from different theories that interact with compliance. This points to a new research agenda that is oriented on mapping compliance networks, and testing and modelling how regulatory and management interventions interact with each other and compliance within such networks. (shrink)

An extended analysis compared to observations shows that modern “globalised” world civilisation has passed through the invisible “complexity threshold”, after which usual “spontaneous”, empirically driven kind of development (“invisible hand” etc.) cannot continue any more without major destructive tendencies. A much deeper, non-simplified understanding of real interaction complexity is necessary in order to cope with such globalised world development problems. Here we introduce the universal definition, fundamental origin, and dynamic equations for a major related quantity of (systemic) risk (...) characterising real complex system development tendencies at any level of dynamics. Practically important conclusions are derived, opening further detailed applications in economy, finance and development practice. (shrink)

Management theory is a diverse field where multiple theoretical perspectives coexist and coevolve, leading to conceptual pluralism. While conceptual pluralism is useful for grasping different aspects of the complex reality we live in, it may limit the further development of knowledge on elemental concepts. In this article, we focus on knowledge on the natural environment (NE) in management theory. We argue that management scholars and practitioners often rely on theoretical lenses that tend to reify the NE, thereby (...) limiting the conceptualization of some of the essential properties of the NE. Drawing on the example of the conceptual development of the ecosystem services (ES) at the intersection of economics and biology, we identify the advantages and the limits of interdisciplinary theory-building and testing. Finally, we discuss how tools from the philosophy of science can be useful for proposing a way forward for integrating reliable knowledge on the natural environment in management theory. (shrink)

The theory of boundary organizations was developed to address an important group of institutions in American society neglected by scholarship in science studies and political science. The long-term stability of scientific and political institutions in the United States has enabled a new class of institutions to grow and thrive as mediators between the two. As originally developed, this structural feature of these new institutions—that is, their location on the boundary between science and politics—dominated theoretical frame-works for explaining their behavior. Applying (...) the theory of boundary organizations to international society requires a refocusing of some of the theory’s central features, however. In this article, I introduce a new framework—hybrid management—to explain the activities of boundary organizations in the more complex, contingent, and contested settings of global politics. I develop the framework of hybrid management using the specific example of the U.N. Framework Convention on Climate Change’s Subsidiary Body for Scientific and Technological Advice. (shrink)

15 Applying the theory in the practical world -- The theory's relationship to social systems and structure -- Explaining social power -- Implications for culture study -- Ontological implications in economic theory -- Rules and rule-making -- Ontological implications in moral philosophy -- 16 Conclusions and further research -- Significance for leadership and management -- Further research -- Closing thoughts -- References -- Index.

Change is the new normal, but so it has been for ages. Experience to navigate change is something you get just after you needed it, unless you tap into age-old experience. The Fourth Industrial Revolution (4IR) is bringing about wide-ranging changes. With people having to adjust, the question is whether Christianity, with its roots in preindustrial times, may support people to navigate these changes. This conceptual article focusses on the relationships amongst constructs, exploring logical arguments about how these constructs are (...) associated. The 4IR is briefly described from differing vantage points, as to whether it is a valid description thereof. Whether a revolution or evolution, it is a complex system, and therefore the theory of complex systems is used, with the conclusion that one may merely participate in such systems. Being novel situations, one needs to participate creatively, based on a cognitive understanding of creativity. Creative solutions do not materialise out of thin air but are the novel use of existing knowledge structures. Christian traditions include institutional memories of how people managed situations of radical change, as reflected in Genesis 1 and Lamentations 4. These passages provide building blocks that may be used in creative coping strategies during times of change. Both passages suggest the strategy to juxtapose order and chaos, and borrowing from that, a ‘Grip-Grapple-Grow’ scaffolding system is suggested. To test the usability thereof, the issue of face masks during the Coronavirus Disease 2019 pandemic was touched upon, to evaluate how the interplay amongst 4IR, disruption, (Christian) beliefs and technological advancement may play out. Contribution: The Fourth Industrial Revolution is speeding up the pace of change, with people having to adapt. This article explores processes of change management, juxtaposing the theory of complex systems, the cognitive science understanding of creativity and institutional memories afforded by some Christian traditions reflecting on how people managed order and chaos. (shrink)

"_The Moment of Complexity_ is a profoundly original work. In remarkable and insightful ways, Mark Taylor traces an entirely new way to view the evolution of our culture, detailing how information theory and the scientific concept of complexity can be used to understand recent developments in the arts and humanities. This book will ultimately be seen as a classic."-John L. Casti, Santa Fe Institute, author of _Gödel: A Life of Logic, the Mind, and Mathematics_ The science of complexity (...) accounts for that inscrutable mix of chaos and order that governs our natural world. Complexity explains how networks emerge and function, how species organize into ecosystems, how stars form into galaxies, and how just a few sequences of DNA can account for so many different life forms. Recently, the idea of complexity has taken the worlds of business and politics by storm. The concept is used to account for phenomena as varied as the behavior of the stock market, the response of voting populations, and the effects of risk management. Even Disney has used complexity theory to manage crowd control at its theme parks. Given the startling development of new information technologies, we now live in a moment of unprecedented complexity, an era in which change occurs faster than our ability to comprehend it. With _The Moment of Complexity_, Mark C. Taylor offers a timely map for this unfamiliar terrain opening in our midst, unfolding an original philosophy through a remarkable synthesis of science and culture. According to Taylor, complexity is not just a breakthrough scientific concept, but the defining quality of the post-Cold War era. The flux of digital currents swirling around us, he argues, has created a new network culture with its own distinctive logic and dynamic. Drawing on resources from information theory and evolutionary biology, Taylor explains the operation of complex adaptive systems in social and cultural processes and captures a whole new zeitgeist in the making. To appreciate the significance of our emerging network culture, he claims, we need not only to understand contemporary scientific and technological transformations, but also to explore the subtle influences of art, architecture, philosophy, religion, and higher education. _The Moment of Complexity_, then, is a remarkable work of cultural analysis on a scale rarely seen today. To follow its trajectory is to learn how we arrived at this critical moment in our culture, and to know where we might head in the twenty-first century. (shrink)

The word “sustainable” débuted in 1987 but has since become a hot topic issue, both for scientific research and wider society. Although sustainability may appear to be a thoroughly twenty-first century goal, sustainability science concepts and goals such as balance, endurance, order and change, reach back at least as far as the proto-scientific investigations of alchemy. Both alchemy and sustainability science can be understood as systems or strategies which individuals and societies can use to organise and manage themselves in a (...) complex world filled with dynamic problems. Alchemy never created a panacea or transmuted base metals into gold because those goals proved to be based on fundamentally flawed theories and premises. Nevertheless, alchemy did succeed in helping adherents manage themselves and their societies in advantageous ways. Alchemy also positively and significantly influenced subsequent scientific development. Likewise, science helps humanity manage itself on multiple scales, from the individual to the international, and will certainly contribute to further scientific research and development. However, it is not yet known whether carbon neutrality, entirely renewable energy and other sustainability goals will be achieved or whether these goals will also come to be seen as based on flawed understandings and theories. For this reason, this article explores key features of alchemy, traces how they persisted through Enlightenment-era science and how they continue to be present and influential within scientific efforts today. The article goes on to reflect on how the history, development and continued use of concepts such as balance, endurance, order and change may be useful portents of how humans and human society will manage themselves in the future. Such reflections may also temper the zeal with which individuals that accept or reject sustainability goals treat each other, thereby offering a way for divergent groups to manage their interactions. Flawed theories prevented alchemy from achieving many of its primary stated goals. However, alchemy was very beneficial, both during its period of use and subsequently through its influence on subsequent development. This article identifies ideas from alchemy that were originally beneficial and that have persisted through Enlightenment-era science and into contemporary science. The article also explores how those ideas continue to influence scientific and sustainability goals today. Understanding and reflecting on alchemy’s successes and failures facilitates reflection on the potential successes and failures of sustainability and the human consequences of trying to manage a sustainable future. (shrink)

Systems Theory analyses the world in terms of communications and divides the natural world into environment and systems. Systems are characterised by their high density of communications and tend to become more complex and efficient with time, usually by means of increased specialisation and coordination of functions. Management is an organisational sub-system which models all necessary aspects of organisational activity such that this model may be used for monitoring, prediction and planning of the organisation as a whole. The function (...) of a specific management system depends on its history of selection by interactions with the environment (which includes other systems). The main function of a management system will be a consequence of the most powerful and sustained selection pressure it has experienced. Systems Theory implies a management science which is quantitative and comparative. It is quantitative because it is based upon the measurement and mapping of communications as the basis of analysis; it is comparative because evaluations relate to specific variables measured in a specific spatio-temporal context and subjected to analytic processes of constrained complexity. Selection processes are broadly responsible for the dominance of management in contemporary Western societies. The complexity of management systems will probably continue to increase for as long as the efficiency-enhancing potential of complexity outweighs its increased transaction costs. (shrink)

Introduction -- The nature of a complex world -- Unpacking complexity -- Have we thought like this before? -- The complexity of complexity theories -- Complexity and the social world -- Complexity and management -- Complexity and strategy -- Complexity and international development -- Complexity and economics -- Final reflections: what we hope you take away from this book.

The question ‘Are there inherent differences among the phenomena studied by different sciences which require inherently different methodologies?’ has received considerable attention during the last century. Much of the debate has been fueled by logical positivism and logical empiricism, both of which embrace a commitment to the reduction of theories and the ultimate unity of science. This commitment presupposes that there are no inherent fundamental differences since any inherent differences would undermine the connected goals of reduction and unification. Hence, logical (...) positivists and logical empiricists have attempted to show that the supposed differences are illusory. For example, Hempel and Nagel both argued vigorously that there are no inherent differences. Their strategy was to analyze a purported difference and argue either that the feature responsible for the difference was not really present in the non-physical science or that it was after all present in the physical sciences as well. (shrink)

With growing complexity in society, designers are entering the fields of organizational studies and social change with high levels of responsibility and, sometimes, little background knowledge of theories and recent evolution. Specifically in the fields of strategy, change, and transformation, the turn toward complexity science is gaining acceptance in both academia and practice. This article presents Imagineering as a complexity-inspired design approach to effectuate transformational objectives. It illustrates the method with an application on the city of Antwerp. (...) The author concludes by reflecting on the implications and perspectives of the method for transformational design and for design thinking in management. (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)

Our aim in this chapter is to draw lessons from current theory on the evolution of human cooperation for the management of contemporary commons. Evolutionary theorists have long been interested in cooperation but social scientists have documented patterns of cooperation in humans that present unusual problems for conventional evolutionary theory (and for rational choice explanations as well). Humans often cooperate with nonrelatives and are prone to cooperate in one-shot games. Cooperation is quite dependent on social institutions. We believe that (...) this last fact is the critical clue to understanding human cooperation. Models of cultural evolution suggest that group selection is a more potent force on culture than on genes. Evolutionary theory is in essence a theory of preferences in terms of rational actor theory and is thus complementary to the bounded rational choice models that underpin so much theorizing in the social sciences. Thus, the theory suggests a source for prosocial impulses, and leads to predictions about the limits of human altruism and constraints likely to be imposed upon the evolution of social institutions. We also consider the dynamics of genes as they coevolved with increasingly sophisticated cultural institutions over the long course of human evolution in the Pleistocene. We hypothesize that the long exposure of human populations to group selected cultural norms and preferences is likely to have resulted in an innate psychology adapted to living in egalitarian, cooperative societies of a few hundred to a few thousand people. We call this the tribal social instincts hypothesis. The evolution of complex societies in the past few thousand years constitutes a series of natural experiments that test this hypothesis. If it is correct, the institutions of complex societies must somehow take advantage of the prosocial elements of the tribal instincts while finessing the problem that the tribal social instincts are ill adapted to life in large, hierarchical, inegalitarian societies with extensive dominance of subordinates by elites.. (shrink)

Our aim in this chapter is to draw lessons from current theory on the evolution of human cooperation for the management of contemporary commons. Evolutionary theorists have long been interested in cooperation but social scientists have documented patterns of cooperation in humans that present unusual problems for conventional evolutionary theory (and for rational choice explanations as well). Humans often cooperate with nonrelatives and are prone to cooperate in one-shot games. Cooperation is quite dependent on social institutions. We believe that (...) this last fact is the critical clue to understanding human cooperation. Models of cultural evolution suggest that group selection is a more potent force on culture than on genes. Evolutionary theory is in essence a theory of preferences in terms of rational actor theory and is thus complementary to the bounded rational choice models that underpin so much theorizing in the social sciences. Thus, the theory suggests a source for prosocial impulses, and leads to predictions about the limits of human altruism and constraints likely to be imposed upon the evolution of social institutions. We also consider the dynamics of genes as they coevolved with increasingly sophisticated cultural institutions over the long course of human evolution in the Pleistocene. We hypothesize that the long exposure of human populations to group selected cultural norms and preferences is likely to have resulted in an innate psychology adapted to living in egalitarian, cooperative societies of a few hundred to a few thousand people. We call this the tribal social instincts hypothesis. The evolution of complex societies in the past few thousand years constitutes a series of natural experiments that test this hypothesis. If it is correct, the institutions of complex societies must somehow take advantage of the prosocial elements of the tribal instincts while finessing the problem that the tribal social instincts are ill adapted to life in large, hierarchical, inegalitarian societies with extensive dominance of subordinates by elites.. (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 (...) class='Hi'>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)

Fundamental changes in sciences offer new perspectives for the management of complexity. Increased complexity in society, economics, and technology requires a new and suitable organization and management. What are the consequences and results for project management? That is the theme of this article. First of all it will given a short introduction to project management, which will be later called "traditional project management" or "project management 1st order (PM-1)." Then, the challenges by (...) the fundamental changes in sciences and the increased complexity in society, economics, and technology will be discussed. It will state that traditional project management cannot solve these challenges. The widespread working-themes and results of the research program "Beyond Frontiers of Traditional Project Management" as an answer to these challenges will be presented at a glance. Subsequently, it will discuss some selected results of the research program: The principle-definition and foundation of "Evolution of 1st and 2nd Order." The Evolution of 1st Order and the impact on Project Management methods and processes. Evolution of 2nd Order and the Grand Evolutionary Systems Theory (GEST) of E. Laszlo as also the impact on Project Management methods and processes. Management of crisis: turn a change to advantage or risk-assurance? Thereafter, the concept of "Project Management Second Order (PM-2)" is presented as a highlighted result of the research program, as a new paradigm in project management, and as an answer to the challenges, described earlier will be explained in detail. Finally, a real example of transfer evolutionary and self-organizational management principles in a real project life will be demonstrated. (shrink)

In the realm of computational intelligence, the age-old adage, "not everything is black and white," has never been more pertinent. Through the lens of fuzzy logic and neutrosophic systems, Applications of Fuzzy Theory in Applied Sciences and Computer Applications, unravels the complex tapestry of uncertainty, imprecision, and subjectivity in real-world scenarios. This book stands as a testament to the power of fuzzy systems in bridging the gap between theoretical concepts and their pragmatic applications. Chapter one introduces readers to the ever-evolving (...) realm of biometrics, specifically focusing on face recognition. The complexities of human features demand a system that can navigate the nuances, and fuzzy pattern recognition presents a promising solution. Diving deeper into the world of health and demography in Chapter two, the authors explore the potential of fuzzy inference systems in mortality studies. By incorporating a degree of uncertainty, these systems offer a more holistic view of mortality trends and predictions. From biometrics and health, we shift our focus to the mathematical underpinnings of neutrosophic logic in chapter three. Here, the application of neutrosophy over digraphs is meticulously dissected, offering readers an intricate understanding of this unique conjunction. The subsequent chapters delve into various other fields, from reliability analysis and higher education to fisheries and supply chain management, demonstrating the pervasive influence of fuzzy and neutrosophic systems in diverse domains. Chapter t2welve concludes this enlightening journey with a life-altering application - the utilization of fuzzy logic in the detection and classification of brain tumors. Through this chapter, the profound impact of fuzzy systems on healthcare and diagnostics is underscored. This promises a transformative journey, ensuring that by the end, readers will look at uncertainty not as a challenge, but as an opportunity to explore, innovate, and excel. Whether you're a seasoned researcher, a professional seeking innovative solutions, or a curious student, this book has insights to offer to everyone. Welcome to a world where the lines are blurred, but the visions are clear. (shrink)

Ranchers and pastoralists worldwide manage and depend upon resources from rangelands across Earth’s terrestrial surface. In the Great Plains of North America rangeland ecology has increasingly recognized the importance of managing rangeland vegetation heterogeneity to address conservation and production goals. This paradigm, however, has limited application for ranchers as they manage extensive beef production operations under high levels of social-ecological complexity and uncertainty. We draw on the ethics of care theoretical framework to explore how ranchers choose management actions. (...) We used modified grounded theory analysis of repeated interviews with ranchers to compare rancher decision-making under relatively certain and uncertain conditions and describe a typology of practices used to prioritize and choose management actions that maintain effective stewardship of these often multi-generational ranches. We contrast traditional decision-making frameworks with those described by interviewees when high levels of environmental and market uncertainty or ecological complexity led ranchers toward use of care-based, flexible and relational frameworks for decision-making. Ranchers facing complexity and uncertainty often sought “middle-ground” strategies to balance multiple, conflicting responsibilities in rangeland social-ecological systems. For example, ranchers’ care-based decision-making leads to conservative stocking approaches to “manage for the middle,” e.g. to limit risk under uncertain weather and forage availability conditions. Efforts to promote heterogeneity-based rangeland management for biodiversity conservation through the restoration of patch burn grazing and prairie dog conservation will require increased valuation of ranchers’ care work. (shrink)

This volume brings together for the first time the diverse threads within the growing field of serendipity research, to reflect both on the origins of this emerging field within different disciplines as well as its increasing influence as its own field with foundational texts and emerging practices. The phenomenon of serendipity has been described in many ways since Horace Walpole initially coined the term in 1754 to categorize those discoveries that happen by “both accidents and sagacity”. This book offers a (...) sampling of perspectives from experts in serendipity research from organizational studies, management theory, information science and library studies, psychology, literature, computer science, social science, ethics, and the history and philosophy of science. Considerations about the importance and role of serendipity are being raised now across science (both empirical and theoretical) as well as practice (from art and innovation to leadership and governance), with ever more eyes looking closer at its significance in human history and the likelihood it will play a key, while unpredictable, role in forming our future. Serendipity Science represents an emerging, and also important and potentially necessary field of study, if we are to deal well as a society with our complex times and uncertain future. (shrink)

This article addresses complexity by selecting some of its key aspects that share a common feature: the power to change. They seem to change not only the way the world is approached by scientists, but also the way this approach, the resulting perspectives and their multiple relationships, are interpreted. These main aspects are: (1) the challenge of measurability, with an unexpected result that escapes the gravitational field of the measurability problem; (2) the meaning of reproducibility and the redrawn boundaries (...) of scientific inquiry, with implications for the social sciences; (3) the altered expectations concerning prediction, which seem to break with a glorious tradition of unquestioned technological success; and (4) the discovery of all-embracing patterns of events that unavoidably include large events, possibly perceived as ‘crises’, which one may hope to understand and confront, rather than rule out. The resulting geography, with its new landmarks, new relationships among its elements and new means of orientation, is expected to reach the public sooner or later, even if the effect – according to complexity theory itself – cannot be foreseen in detail. All these fibres of change are considered in the context of a fresh meaning of time and of a topology dominated by network concepts. (shrink)

This paper investigates whether AI can possess wisdom, a complex and deeply human capacity. We adopt an interdisciplinary approach, drawing on philosophy, 4E cognition, Material Engagement Theory, and engaged epistemology, to argue that wisdom is a dynamic force unfolding through meaningful life experiences and resonant interactions with the world. Central to our discussion is Rosa's concept of resonance, essential for fostering personal growth, emotional empathy, as well as existential and bodily connectedness to the world and its unfolding into an uncertain (...) future. Despite the advanced capabilities of AI/Large Language Models (LLMs), we demonstrate their inability to embody wisdom due to their lack of deep sense-making, embodied interaction, and meaningful engagement with the world and future potentials. We emphasize the need for cultivating human wisdom to ensure technological advancements enrich rather than diminish the human experience, advocating for a balanced and reflective human-technology relationship. (shrink)

Investment Science, Second Edition, provides thorough and highly accessible mathematical coverage of the fundamental topics of intermediate investments, including fixed-income securities, capital asset pricing theory, derivatives, and innovations in optimal portfolio growth and valuation of multi-period risky investments. Eminent scholar and teacher David G. Luenberger, known for his ability to make complex ideas simple, presents essential ideas of investments and their applications, offering students the most comprehensive treatment of the subject available. New to this edition Three new chapters: Risk (...) class='Hi'>Management, Credit Risk, and Data and Statistics Updated content and expanded coverage of many topics, including the capital asset pricing model, projection pricing, the Black-Scholes equation, computational methods, real options, the characterization of volatility, parameter estimation, and portfolio design New exercises reflecting advances in theory and practice provide opportunities to explore a wide range of concepts. (shrink)

The increased complexity of health information management sows the seeds of inequalities between health care stakeholders involved in the production and use of health information. Patients may thus be more vulnerable to use of their data without their consent and breaches in confidentiality. Health care providers can also be the victims of a health information system that they do not fully master. Yet, despite its possible drawbacks, the management of health information is indispensable for advancing science, medical (...) care and public health. Therefore, the central question addressed by this paper is how to manage health information ethically? This article argues that Paul Ricœur’s ‘‘little ethics’’, based on his work on hermeneutics and narrative identity, provides a suitable ethical framework to this end. This ethical theory has the merit of helping to harmonise self-esteem and solicitude amongst patients and healthcare providers, and at the same time provides an ethics of justice in public health. A matrix, derived from Ricœur’s ethics, has been developed as a solution to overcoming possible conflicts between privacy interests and the common good in the management of health information. (shrink)

While complexity science is gaining interest among educational theorists, its constructs do not speak to educational responsibility or related core issues in education of power and ethics. Yet certain themes of complexity, as taken up in educational theory, can help unsettle the more controlling and problematic discourses of educational responsibility such as the potential to limit learning and subjectivity or to prescribe social justice. The purpose of this article is to critically examine complexity science against notions of (...) responsibility in terms of implications for education. First, themes of complexity science prominent in contemporary educational writing are explained. Then dilemmas of responsibility in complexity are explored, such as what forms and meanings responsibility can have in a ‘complexified’ perspective of education, how care for others is mobilised, and how desire can be understood. Analyses of ethical action grounded in complexity science are then examined, as well as theories of the ethical subject and participatory responsibility that are congruent with certain tenets of a complexity ontology. Finally, the possibility of an educational vision of responsibility animated by complexity theories is considered, drawing from related writings of Bai, Biesta, Derrida, Levinas and Varela. (shrink)

Background This analysis is about practical living bioethics and how law, ethics and sociology understand and respect children’s consent to, or refusal of, elective heart surgery. Analysis of underlying theories and influences will contrast legalistic bioethics with living bioethics. In-depth philosophical analysis compares social science traditions of positivism, interpretivism, critical theory and functionalism and applies them to bioethics and childhood, to examine how living bioethics may be encouraged or discouraged. Illustrative examples are drawn from research interviews and observations in two (...) London paediatric cardiac units. This paper is one of a series on how the multidisciplinary cardiac team members all contribute to the complex mosaic of care when preparing and supporting families’ informed consent to surgery. Results The living bioethics of justice, care and respect for children and their consent depends on theories and practices, contexts and relationships. These can all be undermined by unseen influences: the history of adult-centric ethics; developmental psychology theories; legal and financial pressures that require consent to be defined as an adult contract; management systems and daily routines in healthcare that can intimidate families and staff; social inequalities. Mainstream theories in the clinical ethics literature markedly differ from the living bioethics in clinical practices. Conclusion We aim to contribute to raising standards of respectful paediatric bioethics and to showing the relevance of virtue and feminist ethics, childhood studies and children’s rights. (shrink)

The world is complex, but acknowledging its complexity requires an appreciation for the many roles context plays in shaping natural phenomena. In _Unsimple Truths, _Sandra Mitchell argues that the long-standing scientific and philosophical deference to reductive explanations founded on simple universal laws, linear causal models, and predict-and-act strategies fails to accommodate the kinds of knowledge that many contemporary sciences are providing about the world. She advocates, instead, for a new understanding that represents the rich, variegated, interdependent fabric of many (...) levels and kinds of explanation that are integrated with one another to ground effective prediction and action. Mitchell draws from diverse fields including psychiatry, social insect biology, and studies of climate change to defend “integrative pluralism”—a theory of scientific practices that makes sense of how many natural and social sciences represent the multi-level, multi-component, dynamic structures they study. She explains how we must, in light of the now-acknowledged complexity and contingency of biological and social systems, revise how we conceptualize the world, how we investigate the world, and how we act in the world. Ultimately _Unsimple Truths _argues that the very idea of what should count as legitimate science itself should change. (shrink)

Any part of the world can be viewed and modelled in terms of its chosen qualitative and/or quantitative properties, OR its structure. The former approach has been used by nearly the whole of ‘human intellectual endeavor’, i.e conventional science of physics, the arts etc. Development of the latter or the ‘systemic view’ is the subject matter of the current work. The Purpose of Change is Problem Solving suggests that the ‘structural view’ is empirical, pervasive throughout experience and as such results (...) in a single domain as opposed to conventional science which consists of many domains like mechanics, electricity etc. Thus, a unique approach is required which is based on ‘general principles of systems’ translated into operational form by the symbolism of processed natural language called ‘linguistic modelling of scenarios’ which can carry mathematics and uncertainties. To model scenarios with complex structure, a description or story in natural language is expressed in terms of homogenous language of one – and two – place sentences, the ‘elementary constituents’ of which complex structures can be constructed [like a variety of buildings from bricks]. To correspond to the single domain, based on the logic of causation, a single scheme of ‘Management/producers – Product – User/consumer’ is proposed which is immediately applicable to structuring scenarios and guides their detailed linguistic modelling or design. The approach, subject to debate, can have significant impact on society and education, especially that of engineering which lacks a ‘comprehensive theory of structure’ of problematic scenarios. (shrink)

This research draws on complexity theory to provide an alternative conceptualization of issue management. We use six dynamics of complexity drawn from complex adaptive systems—equipoise, turbulence, sensitive conditions, bifurcation, attractor emergence, and symmetry breaking—to develop a metaphorical framework that describes what occurs during various periods of issue activity and what propels issues from one period of activity to another. We illustrate the framework with a case study of the pharmaceutical industry response to the HIV/aids pandemic in Sub-Saharan (...) Africa. The article concludes with a discussion of the additional affordances this framework provides to extend and compliment issue life cycle models. (shrink)

Some of the most relevant problems today both in Science and practical problems involves Coupled Socio-ecological Systems, which are some of the best examples of Complex Systems. In this work we discuss groundwater-management as an example of these Coupled Socio-ecological System, also known as Coupled Human and Natural Systems. We argue that it is possible and even necessary to construct a contextual statistical theory of groundwater management. Contextuality implies some very different statistical features as entanglement and complementarity. We (...) discuss some interpretation about statistical entanglement and statistical complementarity in terms of groundwater flow theory and extraction equation. To this end, we propose a non-Kolmogorobian approach following the Växjö school of thought. One of the most straightforward conclusions is that in this way, a statistical-contextual treatment of groundwater management may not only give place to new flow equations, but it could have a profound impact in resource management. Then the new basic unity of analysis should be the indivisible pair. We should not talk any more about aquifer dynamics or resource management plans by themselves. Physical and social systems are coupled in a statistical-contextual fundamental way, and a socio-hydrogeological theory should be developed. (shrink)

This article contributes to the revision of the concept of system in social theory using complexity theory. The old concept of social system is widely discredited; a new concept of social system can more adequately constitute an explanatory framework. Complexity theory offers the toolkit needed for this paradigm shift in social theory. The route taken is not via Luhmann, but rather the insights of complexity theorists in the sciences are applied to the tradition of social theory inspired (...) by Marx, Weber, and Simmel. The article contributes to the theorization of intersectionality in social theory as well as to the philosophy of social science. It addresses the challenge of theorizing the intersection of multiple complex social inequalities, exploring the various alternative approaches, before rethinking the concept of social system. It investigates and applies, for the first time, the implications of complexity theory for the analysis of multiple intersecting social inequalities. Key Words: complexity theory • inequality • intersectionality • social theory. (shrink)

Ecological weed management (EWM) is a scientifically established management approach that uses ecological patterns to reduce weed seedbanks. Such an approach can save organic farmers time and labor costs and reduce the need for repeated cultivation practices that may pose risks to soil and water quality. However, adoption of effective EWM in the organic farm community is perceived to be poor. In addition, communication and collaboration between the scientific community, extension services, and the organic farming community in the (...) US is historically weak. In order to uncover the most persistent obstacles to promoting effective weed management in organic agroecosystems, we use the mental models approach to generate an expert model based on interviews with experts (e.g., weed scientists, weed ecologists, and extension personnel) and theories from the behavioral sciences. The expert model provides two main insights: (1) EWM is a complex strategy that may cause farmers to use heuristics in management decisions and (2) the long-term benefits of EWM, rather than the risks, need to be emphasized in communication with and outreach to organic farmers. The basis for new research topics and outreach material that incorporates these insights from the expert model are discussed. We briefly explain how the expert model is an incomplete picture of on-farm practices, but provides the basis for the second step of our mental models research, the farmer interviews and farmer decision model development. (shrink)

A collection of scholarly essays, __Complexity Theory and the Philosophy of Education__ provides an accessible theoretical introduction to the topic of complexity theory while considering its broader implications for educational change. Explains the contributions of complexity theory to philosophy of education, curriculum, and educational research Brings together new research by an international team of contributors Debates issues ranging from the culture of curriculum, to the implications of work of key philosophers such as Foucault and John Dewey for educational (...) change Demonstrates how social scientists and social and education policy makers are drawing on complexity theory to answer questions such as: why is it that education decision-makers are so resistant to change; how does change in education happen; and what does it take to make these changes sustainable? Considers changes in use of complexity theory; developed principally in the fields of physics, biology, chemistry, and economics, and now being applied more broadly to the social sciences and to the study of education. (shrink)

Computational complexity theory is a subfield of computer science originating in computability theory and the study of algorithms for solving practical mathematical problems. Amongst its aims is classifying problems by their degree of difficulty — i.e., how hard they are to solve computationally. This paper highlights the significance of complexity theory relative to questions traditionally asked by philosophers of mathematics while also attempting to isolate some new ones — e.g., about the notion of feasibility in mathematics, the $\mathbf{P} (...) \neq \mathbf{NP}$ problem and why it has proven hard to resolve, and the role of non-classical modes of computation and proof. (shrink)

The challenges of the Anthropocene are growing ever more complex and uncertain, underpinned by the emergence of systemic risks. At the same time, the landscape of risk governance has become compartmentalised and siloed, characterized by non-overlapping activities, competing scientific discourses, and distinct responsibilities distributed across diverse public and private bodies. Operating across scales and disciplines, actors tend to work in silos which constitute critical gaps within the interface of science, policy, and practice. Yet, increasingly complex and ‘wicked’ problems require holistic (...) solutions, multi-scalar communication, coordination, collaboration, data interoperability, funding, and stakeholder engagement. To address these problems in a real-world context, we present the Risk-Tandem framework for bridging theory and practice; to guide and structure the integration of disaster risk management (DRM), climate change adaptation (CCA) and systemic risk management through a process of transdisciplinary knowledge co-production. Advancing the frontiers of knowledge in this regard, The Risk-Tandem framework combines risk management approaches and tools with iterative co-production processes as a cornerstone of its implementation, in efforts to promote the co-design of fit-for-purpose solutions, methods and approaches contributing toward strengthened risk governance alongside stakeholders. The paper outlines how the framework is developed, applied, and further refined within selected case study regions, including Denmark, Germany, Italy and the Danube Region. (shrink)

Complexity theory attempts to explain, at the most general possible level, the interesting behaviors of complex systems. Two such behaviors are the emergence of simple or stable high-level behavior from relatively complex low-level behavior, and the emergence of sophisticated high-level behavior from relatively simple low-level behavior; they are often found nested in the same system. Concerning the emergence of simplicity, this essay examines Herbert Simon's explanation from near-decomposability and a stochastic explanation that generalizes the approach of statistical physics. A (...) more general notion of an abstract difference-making structure is introduced with examples, and a discussion of evolvability follows. Concerning the emergence of sophistication, this essay focuses on, first, the energetics approach associated with dissipative structures and the fourth law of thermodynamics, and second, the notion of a complex adaptive system. (shrink)

Many cognitive and evolutionary theories of religion argue that supernatural explanations are byproducts of our cognitive adaptations. An influential argument states that our supernatural explanations result from a tendency to generate anthropomorphic explanations, and that this tendency is a byproduct of an error management strategy because agents tend to be associated with especially high fitness costs. We propose instead that anthropomorphic and other supernatural explanations result as features of a broader toolkit of well-designed cognitive adaptations, which are designed for (...) explaining the abstract and causal structure of complex, unobservable, and uncertain phenomena that have substantial impacts on fitness. Specifically, we argue that (1) mental representations about the abstract vs. the supernatural are largely overlapping, if not identical, and (2) when the data-generating processes for scarce and ambiguous observations are complex and opaque, a naive observer can improve a bias-variance trade-off by starting with a simple, underspecified explanation that Western observers readily interpret as “supernatural.” We then argue that (3) in many cases, knowledge specialists across cultures offer pragmatic services that involve apparently supernatural explanations, and their clients are frequently willing to pay them in a market for useful and effective services. We propose that at least some ethnographic descriptions of religion might actually reflect ordinary and adaptive responses to novel problems such as illnesses and natural disasters, where knowledge specialists possess and apply the best available explanations about phenomena that would otherwise be completely mysterious and unpredictable. (shrink)

Software application ontologies have the potential to become the keystone in state-of-the-art information management techniques. It is expected that these ontologies will support the sort of reasoning power required to navigate large and complex terminologies correctly and efficiently. Yet, there is one problem in particular that continues to stand in our way. As these terminological structures increase in size and complexity, and the drive to integrate them inevitably swells, it is clear that the level of consistency required for (...) such navigation will become correspondingly difficult to maintain. While descriptive semantic representations are certainly a necessary component to any adequate ontology-based system, so long as ontology engineers rely solely on semantic information, without a sound ontological theory informing their modeling decisions, this goal will surely remain out of reach. In this paper we describe how Language and Computing nv (L&C), along with The Institute for Formal Ontology and Medical Information Sciences (IFOMIS), are working towards developing and implementing just such a theory, combining the open software architecture of L&C’s LinkSuiteTM with the philosophical rigor of IFOMIS’s Basic Formal Ontology. In this way we aim to move beyond the more or less simple controlled vocabularies that have dominated the industry to date. (shrink)

Around 1989, a striking letter written in March 1956 from Kurt Gödel to John von Neumann came to light. It poses some problems about the complexity of algorithms; in particular, it asks a question that can be seen as the first formulation of the P=?NP question. This paper discusses some of the background to this letter, including von Neumann's own ideas on complexity theory. Von Neumann had already raised explicit questions about the complexity of Tarski's decision procedure (...) for elementary algebra and geometry in a letter of 1949 to J. C. C. McKinsey. The paper concludes with a discussion of why theoretical computer science did not emerge as a separate discipline until the 1960s. (shrink)

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)

This paper analyses the nature of the relationship between risk and responsibility. Since neither the concept of risk nor the concept of responsibility has an unequivocal definition, it is obvious that there is no single interpretation of their relationship. After introducing the different meanings of responsibility used in this paper, we analyse four conceptions of risk. This allows us to make their link with responsibility explicit and to determine if a shift in the connection between risk and responsibility can be (...) outlined. (1) In the engineer’s paradigm, the quantitative conception of risk does not include any concept of responsibility. Their relationship is indirect, the locus of responsibility being risk management. (2) In Mary Douglas’ cultural theory, risks are constructed through the responsibilities they engage. (3) Rayner and (4) Wolff go further by integrating forms of responsibility in the definition of risk itself. Analysis of these four frameworks shows that the concepts of risk and responsibility are increasingly intertwined. This tendency is reinforced by increasing public awareness and a call for the integration of a moral dimension in risk management. Therefore, we suggest that a form of virtue-responsibility should also be integrated in the concept of risk. (shrink)

This book studies creativity in its own right in the search for a creativity science. If we assume that creativity can best be described by constraint theory, the complexity and paradoxes of creativity can be reduced by dividing it into manageable sections. The model is tested and evidenced by numerous historical cases of pioneering work within the three intellectual fields: science, art, and technology. The model guides non-specialists from the many disciplines studying creativity and demonstrates the first principles of (...) creativity science. Going all the way back to Aristotle, the author makes the basic ideas of the original founder of creativity science accessible and up to date with current research. (shrink)

Complexity science is an investigative framework that stems from a number of tried and tested disciplines—including systems theory, nonlinear dynamical systems theory, and synergetics—and extends a common set of concepts, methods, and principles to understand how natural systems operate. By quantitatively employing concepts, such as emergence, nonlinearity, and self‐organization, complexity science offers a way to understand the structures and operations of natural cognitive systems in a manner that is conceptually compelling and mathematically rigorous. Thus, complexity science both (...) transforms understandings of cognition and reframes more traditional approaches. Consequently, if cognitive systems are indeed complex systems, then cognitive science ought to consider complexity science as a centerpiece of the discipline. (shrink)