The biological Brain createst the mental Mind. Today our collective Mind becomes so fascinated by its source, the Brain, that all sciences incorporate neuro models in their concepts to increase global brainpower with technology. The most significant discovery is probably technology. We learn how the Brain creates consciousness and how the Brain generates momentaneous Time. Discover how at each moment in Time, our body runs the whole program of Evolution. What we know about the Brain is phantasy from the Mind.

The biological brain creates a mind, and the mental mind creates a brain. Learn how the brain creates consciousness and how it generates momentaneous time moments. Discover how at each moment in Time, our body runs the whole program of Evolution. Neuroscience and Philosophy.

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)

This article contends that the evolution toward interdisciplinary collaboration that we are witnessing in the sciences must also occur in the humanities to ensure their very survival. That is, humanists must be open to working with scientists and social scientists interested in similar research questions and vice versa. Digital humanities is a positive first step. Complexity science should be the next step. Even though much of the ground-breaking work in complexity science has been done in the natural sciences and mathematics, (...) it can, if critically adapted, provide the needed metaphor for a broad integration of disciplines, humanistic and otherwise. Given its almost a-disciplinary nature, a complexity approach to the research problems in the humanities necessarily breaks down silos. Moreover, it can restore and reframe the seamless intellectual fabric sought by researchers before the atomization of the various disciplines in the nineteenthcentury academy. (shrink)

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

In the wake of the financial crisis of 2008, many economists have blamed economics for having failed to warn us. Paul Krugman, for example, in a well-known New York Times Magazine article, suggests that Classical economists were blinded by the beauty of mathematics, and that Keynesian economics is the path of the future. This paper argues that the evolution of economic thinking is much more nuanced than Krugman portrays it, and that instead of embracing what has become known as Keynesian (...) economics, macroeconomists should rather re-embrace the broader Classical economic tradition, of which Keynes was an important part. (shrink)

Studies exploring how students learn and understand science processes such as diffusion and natural selection typically find that students provide misconceived explanations of how the patterns of such processes arise (such as why giraffes’ necks get longer over generations, or how ink dropped into water appears to “flow”). Instead of explaining the patterns of these processes as emerging from the collective interactions of all the agents (e.g., both the water and the ink molecules), students often explain the pattern as being (...) caused by controlling agents with intentional goals, as well as express a variety of many other misconceived notions. In this article, we provide a hypothesis for what constitutes a misconceived explanation; why misconceived explanations are so prevalent, robust, and resistant to instruction; and offer one approach of how they may be overcome. In particular, we hypothesize that students misunderstand many science processes because they rely on a generalized version of narrative schemas and scripts (referred to here as a Direct-causal Schema) to interpret them. For science processes that are sequential and stage-like, such as cycles of moon, circulation of blood, stages of mitosis, and photosynthesis, a Direct-causal Schema is adequate for correct understanding. However, for science processes that are non-sequential (or emergent), such as diffusion, natural selection, osmosis, and heat flow, using a Direct Schema to understand these processes will lead to robust misconceptions. Instead, a different type of general schema may be required to interpret non-sequential processes, which we refer to as an Emergent-causal Schema. We propose that students lack this Emergent Schema and teaching it to them may help them learn and understand emergent kinds of science processes such as diffusion. Our study found that directly teaching students this Emergent Schema led to increased learning of the process of diffusion. This article presents a fine-grained characterization of each type of Schema, our instructional intervention, the successes we have achieved, and the lessons we have learned. (shrink)

ABSTRACT: With a view to suggesting the possible relevance of Aristotelian thought to current notions of complexity and self-organization, studies Aristotlenard cells, and the theories of Schneider, Kay, and D. Sagan.

Current empirical studies of moral behavior of healthcare professionals are almost entirely focused on self-reports, usually collected under the assumption that an ethical disposition characterizes individuals across various contexts. It is well known, however, that individuals adjust their behavior to what they see being done by those in their peer group. That presents a methodological challenge to traditional research within a community of peers because the behavior of each individual is both the result of norms and a contributor to the (...) norms of others. Computer simulations can be used to address this methodological challenge. A Markov replicator model that runs on an Excel spreadsheet was used to investigate a community with four agent types in the dental community: devious practitioners, ethical practitioners who avoid involvement in the poor ethics of others, ethical practitioners who accept it as part of their professional responsibility to challenge colleagues who act unprofessionally, and those who enforce ethical standards. A panel of leaders in the profession independently estimated parameters for the model and criteria for a possible distribution of agent types in the community. The simulation converged on distributions of the agent types that were very similar to the expectations of the panel. The simulation suggests the following characteristics of such moral communities: The structure of such communities is robust across a wide distribution. It appears that reduction in unethical behavior is more sensitive to the way ethical practitioners interact with each other than to sanctions the enforcement community imposes on unethical practitioners, and that large external interventions will be short lived. (shrink)

The authors explore the heuristic implications of chaos theory for the study of the process of communicating. Chaos theory's application to the study of communication is delineated from a socio?cultural perspective. The basic tenants of chaos theory are outlined and some of the parallels between chaos theory, as developed for the physical sciences, and the process of communicating are described. Theoretical foundations for a chaos theory of communicating are laid, and suggestions are made for future evolution and testing of these (...) foundations. (shrink)

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

Over the years, mathematics and statistics have become increasingly important in the social sciences1 . A look at history quickly confirms this claim. At the beginning of the 20th century most theories in the social sciences were formulated in qualitative terms while quantitative methods did not play a substantial role in their formulation and establishment. Moreover, many practitioners considered mathematical methods to be inappropriate and simply unsuited to foster our understanding of the social domain. Notably, the famous Methodenstreit also concerned (...) the role of mathematics in the social sciences. Here, mathematics was considered to be the method of the natural sciences from which the social sciences had to be separated during the period of maturation of these disciplines. All this changed by the end of the century. By then, mathematical, and especially statistical, methods were standardly used, and their value in the social sciences became relatively uncontested. The use of mathematical and statistical methods is now ubiquitous: Almost all social sciences rely on statistical methods to analyze data and form hypotheses, and almost all of them use (to a greater or lesser extent) a range of mathematical methods to help us understand the social world. Additional indication for the increasing importance of mathematical and statistical methods in the social sciences is the formation of new subdisciplines, and the establishment of specialized journals and societies. Indeed, subdisciplines such as Mathematical Psychology and Mathematical Sociology emerged, and corresponding journals such as The Journal of Mathematical Psychology (since 1964), The Journal of Mathematical Sociology (since 1976), Mathematical Social Sciences (since 1980) as well as the online journals Journal of Artificial Societies and Social Simulation (since 1998) and Mathematical Anthropology and Cultural Theory (since 2000) were established. What is more, societies such as the Society for Mathematical Psychology (since 1976) and the Mathematical Sociology Section of the American Sociological Association (since 1996) were founded. Similar developments can be observed in other countries. The mathematization of economics set in somewhat earlier (Vazquez 1995; Weintraub 2002). However, the use of mathematical methods in economics started booming only in the second half of the last century (Debreu 1991). Contemporary economics is dominated by the mathematical approach, although a certain style of doing economics became more and more under attack in the last decade or so. Recent developments in behavioral economics and experimental economics can also be understood as a reaction against the dominance (and limitations) of an overly mathematical approach to economics. There are similar debates in other social sciences. It is, however, important to stress that problems of one method (such as axiomatization or the use of set theory) can hardly be taken as a sign of bankruptcy of mathematical methods in the social sciences tout court. This chapter surveys mathematical and statistical methods used in the social sciences and discusses some of the philosophical questions they raise. It is divided into two parts. Sections 1 and 2 are devoted to mathematical methods, and Sections 3 to 7 to statistical methods. As several other chapters in this handbook provide detailed accounts of various mathematical methods, our remarks about the latter will be rather short and general. Statistical methods, on the other hand, will be discussed in-depth. (shrink)

Academics from diverse disciplines are recognizing not only the procedural ethical issues involved in research, but also the complexity of everyday “micro” ethical issues that arise. While ethical guidelines are being developed for research in aboriginal populations and low-and-middle-income countries, multi-partnered research initiatives examining arts-based interventions to promote social change pose a unique set of ethical dilemmas not yet fully explored. Our research team, comprising health, education, and social scientists, critical theorists, artists and community-activists launched a five-year research partnership on (...) arts-for-social change. Funded by the Social Science and Humanities Research Council in Canada and based in six universities, including over 40 community-based collaborators, and informed by five main field projects, we set out to synthesize existing knowledge and lessons we learned. We summarized these learnings into 12 key points for reflection, grouped into three categories: community-university partnership concerns, dilemmas related to the arts, and team issues. In addition to addressing previous concerns outlined in the literature, we identified power dynamics hindering meaningful participation of community partners and university-based teams that need to be addressed within a reflective critical framework of ethical practice. We present how our team has been addressing these issues, as examples of how such concerns could be approached in community-university partnerships in arts for social change. (shrink)

With the recent rise of the philosophy of scientific practices, SSK (Sociology of Scientific Knowledge), and feminist approaches to the philosophy of science, a new perspective is gradually coming into being, holding that the starting point for scientific research is opportunity. Opportunistic features in solar neutrino experiments, Opportunistic features of complexity studies emerging from economics, and the measurement of insects’ flight can prove the above perspective from different angels. It is important and significant to determine whether the starting point for (...) scientific research is opportunity, a problem, or an observation. (shrink)

In China, guanxi is the basis on which Chinese exchange a lifetime of favors, resources, and business leverage. Guanxi is considered a unique construct and a product of Confucian values and the contemporary political and socioeconomic system in Chinese society. With its cultural embeddings guanxi , as the social norm of conduct, functions as complex adaptive systems that expand and interconnect to become well-knit social networks; meanwhile the functions of well-fixing and self-reinforcement of the guanxi networks ( chuens ) are (...) synergetically activated internally, externally, and interactively, which shows their extreme flexibility of adaptation. Taking as a case study an outside direct investment (ODI) Taiwanese firm in China, we address and conduct a survey to examine the effect of guanxi on management. Results of the research suggest that guanxi is not limited to interpersonal links; it is also the switch that activates social networks and that reconciles interpersonal and internetwork mismatches to influence management efficacy. (shrink)

The article offers a critical assessment of an article on “Corporate Legitimacy as Deliberation” by Guido Palazzo and Andreas Scherer in this journal. We share the concern about the precarious legitimacy of globally active corporations, infringing on the legitimacy of democracy at large. There is no quarrel with Palazzo/Scherer’s diagnosis, which focuses on the consequences of globalization and ensuing challenges for corporate social responsibilities. However, we disagree with the “solutions” offered by them. In a first step we refute the idea (...) of a legitimacy of morals, maintaining that morality is a premodern mode of creating legitimacy. Even worse, moral is becoming a dangerous commodity under conditions of fundamental global disagreements and antagonisms. We secondly refute the concept of the “politicized corporation”, maintaining that Palazzo/Scherer disregard the consequences of functional differentiation of modern societies and, in particular, disregard the wisdom of political restraint and constitutional guarantees for the autonomy of different spheres of society. Finally, we refute a seemingly romantic notion of deliberation, maintaining that deliberation and deliberative democracy is a worthy idea, which, however, has no place in the real world of globalized contexts. On the other hand, we also find enough common ground and common concern with Palazzo/Scherer to validate a fruitful discourse. (shrink)

The article offers a critical assessment of an article on "Corporate Legitimacy as Deliberation" by Guido Palazzo and Andreas Scherer in this journal. We share the concern about the precarious legitimacy of globally active corporations, infringing on the legitimacy of democracy at large. There is no quarrel with Palazzo/Scherer's diagnosis, which focuses on the consequences of globalization and ensuing challenges for corporate social responsibilities. However, we disagree with the "solutions" offered by them. In a first step we refute the idea (...) of a legitimacy of morals, maintaining that morality is a premodern mode of creating legitimacy. Even worse, moral is becoming a dangerous commodity under conditions of fundamental global disagreements and antagonisms. We secondly refute the concept of the "politicized corporation", maintaining that Palazzo/Scherer disregard the consequences of functional differentiation of modern societies and, in particular, disregard the wisdom of political restraint and constitutional guarantees for the autonomy of different spheres of society. Finally, we refute a seemingly romantic notion of deliberation, maintaining that deliberation and deliberative democracy is a worthy idea, which, however, has no place in the real world of globalized contexts. On the other hand, we also find enough common ground and common concern with Palazzo/Scherer to validate a fruitful discourse. (shrink)

Autopoiesis and systems theory are terms often treated as synonymous by lawyers. This sleight‐of‐phrase elides the space between autopoiesis and systems theory, removing its content. Within this eliminated space there exist numerous understandings of systems approaches in law; one such understanding is complexity theory. Complexity theory entails a very different systems view of law to that of autopoiesis. In this paper I explore the concepts of complexity and their relevance to law. In tracing an outline of complexity, a number of (...) contradictions, paradoxes, and additional questions are exposed which require further detailed analysis in the future. (shrink)

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

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

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

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)

A notion of delegated causality is introduced here. This subtle kind of causality is dual to interventional causality. Delegated causality elucidates the causal role of dynamical systems at the “edge of chaos”, explicates evident cases of downward causation, and relates emergent phenomena to Gödel’s incompleteness theorem. Apparently rich implications are noticed in biology and Chinese philosophy. The perspective of delegated causality supports cognitive interpretations of self-organization and evolution.

With the recent rise of the philosophy of scientific practices, SSK (Sociology of Scientific Knowledge), and feminist approaches to the philosophy of science, a new perspective is gradually coming into being, holding that the starting point for scientific research is opportunity. Opportunistic features in solar neutrino experiments, Opportunistic features of complexity studies emerging from economics, and the measurement of insects' flight can prove the above perspective from different angels. It is important and significant to determine whether the starting point for (...) scientific research is opportunity, a problem, or an observation. /// 近年来由于科学实践哲学的兴起，以及 SSK 和女性主义科学哲学研究的兴起， 科学研究始于机会的观点正在悄然形成之中。太阳中微子实验、复杂性研究和昆虫 飞行测量等案例都从不同角度证明了 "科学研究始于机会" 的观点。区别科学研究 "始于机会"、"始于问题" 和 "始于观察" 这三种观点，是重要而且有意义的。. (shrink)

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

In this essay I examine the ways in which the Belousov–Zhabotinsky (BZ) reaction is being used by biologists to model a variety of biological systems and processes. The BZ reaction is characterized as a functional model of biological phenomena. It is able to play this role because, though based on very different substrates, the model and system modeled are examples of the same type of excitable medium. Lessons are drawn from this case about the relationships between the sciences of chemistry (...) and biology. (shrink)

For the last three decades, physicists have been moving beyond the boundaries of their discipline, using their methods to study various problems usually instigated by economists. This trend labeled ‘econophysics’ can be seen as a hybrid area of knowledge that exists between economics and physics. Econophysics did not spring from nowhere—the existing literature agrees that econophysics emerged in the 1990s and historical studies on the field mainly deal with what happened during that decade. This article aims at investigating what happened (...) before the 1990s by clarifying the epistemic background that might have paved the way to the emergence of econophysics. This historical exploration led me to highlight the active role played by the Santa Fe Institute by promoting interdisciplinary research on complexity in 1980s. Precisely, by defining three research themes on economic complexity, the SFI defined a research agenda and a way of extending physics\biology to economics. This article offers a possible archeology of econophysics to clarify what could have contributed to the development of a particular episteme in the 1980s easing the advent of econophysics in the 1990s. (shrink)

Psychologists investigating dreams in non-Western cultures have generally not considered the meanings of dreams within the unique meaning-structure of the person in his or her societal context. The study was concerned with explicating the indigenous system of dream interpretation of the Xhosa-speaking people, as revealed by acknowledged dream experts, and elaborating upon the life-world of the participants. Fifty dreams and their interpretations were collected from participants, who were traditional healers and their clients. A phenomenological methodology was adopted in explicating the (...) data. Themes explicated included : the physiognomy of the dreamer's life-world as revealed by significant dreams, the interpretation of significant dreams as revealed through action, and human bodiliness as revealed in dream interpretations. The participants' approach to dreams is not based upon an explicit theory, but upon an immediate and pathic understanding of the dream phenomenon. The understanding is based upon the interpreter's concrete understanding of the life-world, which includes the possibility of cosmic integration and continuity between personal and trans-personal realms of being. (shrink)

One of the great challenges of the modern world is the control and management of complexity. After the infinitely large and the infinitely small, we once again find ourselves confronting an unfathomable infinite?the infinitely complex. With its capability for simulation, the computer has become a macroscope. It helps us understand complexity and act on it more effectively to build and manage the large systems of which we are the cells?companies, cities, economies, societies, ecosystems. Thanks to this macroscope, a new vision (...) of the world is emerging, based on a unified approach to the self-organization and evolution of complex systems. On the basis of this comprehensive vision, it becomes possible to describe the origin of a new form of life on Earth, a planetary macro-organism made up of human beings and machines, networks, and nations?a still-embryonic macro-organism that is trying to live in symbiosis with the planetary ecosystem. This new vision of the world brings together two complementary modes of analysis and action: the analytic method and the systemic approach. It can be called the unified theory of the self-organization and dynamics of complex systems. More concisely, one can propose the term symbionomics to describe the range of phenomena covered by this unified theory. Symbionomics can be defined as the study of the emergence of complex systems through self-organization, self-selection, coevolution, and symbiosis. Symbiotic relationships form through coevolution with other organisms or organizations, and collective properties emerge. This information is transmitted to succeeding generations through the memorization of structures and reproductive and evolutionary mechanisms by means of chemical or electronic coding or by the culture. A complex organization is born. From a symbionomic perspective, it is then possible to trace the essential phases of the emergence of a new form of life on Earth, a macrolife, of which humanity, this time, is not the evolutionary end point, but the starting point and catalyst. (shrink)

Information technology, that assortment of technology that enables the conversion of data into information, has had an enormous impact on the field of public administration and its theoretical foundation. This article explores five of them. It begins with a discussion of one of the primary impacts of information technology on public administration theory: the development of systems theory and its descendants including the study of complex systems, chaos, and complexity theory. The importance of information technology in decision-making is explored next. (...) Does information technology free us from the limits of bounded rationality or are we simply overwhelmed by the volume of information available via new sources, such as the Internet and the World Wide Web? The third role examined is the use of information technology as a research tool to make previously intractable problems solvable. Computer capability has enormously advanced the theoretical underpinnings of public administration. Fourth, the significance of information technology as a change agent that calls for revision of other theoretical postulates is investigated. As information technology has diffused into public organizations, how has it called into question what we previously thought about the foundation of bureaucracy? Finally, learning by doing and the manner through which practice informs theory is considered. (shrink)

The challenges posed by chronic illness have pointed out to epidemiologists the multifactorial complex nature of disease causality. This notion has been referred to as a web of causality. This web extends theoretically beyond risk markers. It includes determinants of emergence/non-emergence of disease. This web of determinants is a form of complex system. Due to its complexity, the determinants within such system are not linked to each others in a linear, predictable manner only. Predictability is possible only on a short-term (...) basis, and unpredictability sets in over the long run. Understanding such a system of determinants calls for articulation and testing of complex models which synthesize our knowledge of multiple determinants at many scales, both biological and otherwise. Given the complexity of this web and existing knowledge about the nonlinearity of such systems, the following question is posed: Can the challenge of studying causality be adequately addressed if emphasis continues to be placed on using tools and methods that are geared towards looking at such system from a linear paradigm? Or is it time to add to the epidemiologic research agenda the notion of nonlinearity and its relevant form of analytical approaches that are being tested in other disciplines? Furthermore, the question posed here applies as well to the study of determinants of health. Addressing determinants of heath adds further complexity to our task. (shrink)

Many computational tools for the simulation and design of emergency evacuation and egress are now available. However, due to the scarcity of human and social behavioral data, these computational tools rely on assumptions that have been found inconsistent or unrealistic. This paper presents a multi-agent based framework for simulating human and social behavior during emergency evacuation. A prototype system has been developed, which is able to demonstrate some emergent behaviors, such as competitive, queuing, and herding behaviors. For illustration, an example (...) application of the system for safe egress design is provided. (shrink)

. Progress in technology has allowed dynamic research on the development of the human brain that has revolutionized concepts. Particularly, the notions of plasticity, neuronal selection, and the effects of afferent stimuli have entered into thinking about brain development. Here I focus on development from the age of four years to early adulthood, during which a 30 percent reduction in some brain synapses occurs that is out of proportion to changes in neuronal numbers. This corresponds temporally with changes in normal (...) child behavior from the loose‐associative, almost schizoid, thinking and art of the four‐year‐old to the more trained, or disciplined, or acculturated—and restrained—personality of the young adult. I propose that the synaptic changes can best be thought of as a winnowing process likely subject to environmental influences. Acquisition of language and the ability to link linguistic cognition to the plastic development of the brain provide a potentially powerful means of explaining the evolutionally explosive development of human cognition and culture. Schizophrenia, a disease that can be envisioned as representing a derangement of synaptic maturation, may provide an entry into the search for genes controlling the processes mediating the unprecedented development of Homo sapiens over the past 40,000 to 70,000 years. The recently completed mapping of the genome of the chimpanzee provides a new frame of reference that may speed the search. (shrink)

Complexity theory challenges educational philosophy to reconsider accepted paradigms of teaching, learning and educational research. However, though attractive, not least because of its critique of positivism, its affinity to Dewey and Habermas, and its arguments for openness, diversity, relationships, agency and creativity, the theory is not without its difficulties. These are seen to lie in terms of complexity theory's nature, status, methodology, utility and contribution to the philosophy of education, being a descriptive theory that is easily misunderstood as a prescriptive (...) theory, silent on key issues of values and ethics that educational philosophy should embrace, of questionable internal consistency, and of limited ‘added value’ in educational philosophy. The paper sets out key tenets of complexity theory and argues that, though it is useful for educational philosophy, it requires new conceptual tools and mind‐sets to comprehend fully its significance. (shrink)

(2013). The Complexity of Life and Lives of Complexity. World Futures: Vol. 69, The Complexity of Life and Lives of Complexity, pp. 197-199.

In this article the author maintains that complexity theory relies on reductionist assumptions, showing itself not to be completely convincing in dealing with the issue of novelty. First, an outline of Mark C. Taylor's The Moment of Complexity is presented as an exemplary case, particularly for his attempt to import complexity theory into the social sciences. Then, the connection between complexity theory and evolutionism is considered, arguing that this connection prevents complexity theory from giving a convincing account of the emergence (...) of novelty. A provisional conclusion is offered by arguing that novelty should be conceived as arising from a "widening" of reduction at the individual level. (shrink)

Critical realism, especially as developed by Roy Bhaskar, embodies at its heart systemic and holistic concepts such as totality, emergence, open systems, stratification, autopoiesis and holistic causality. These concepts have their own long history of development in disciplines such as systems thinking and cybernetics, but there is an absence in Bhaskar’s writings, and that absence is a lack of any reference to the corresponding systems literature. The purpose of this paper is threefold: (i) to demonstrate the extent of this correspondence; (...) (ii) to show that critical realism can benefit from an exposure to these other discourses; and (iii) to show that systems thinking too can gain philosophically from critical realism. (shrink)