This article aims at contributing to the discussion about the relationships between ICT, computer science and policy-making by focusing on agent-based social simulation. Enabled, from a technical point of view, by the developments of Distributed Artificial Intelligence in the 1990s and by the features of the object-oriented programming paradigm, agent-based social simulations are a tool for the analysis of social dynamics that can be used also to support the design and the evaluation of public policies. After a brief description of (...) social simulation paradigm and of its impact on social sciences, the paper presents a simple agent-based model devised to analyze, even if in a very abstract way, a phenomenon that can rouse the interest of legal scientists: the interplay between damaging behaviors, punishment and social mechanisms of learning and imitation. Our goal is to show how agent-based simulation can be used not only to illuminate basic mechanisms underlying social phenomena but also to reflect, in an innovative way, on how society can deal with them. (shrink)

Economies are complicated systems encompassing micro behaviors, interaction patterns, and global regularities. Whether partial or general in scope, studies of economic systems must consider how to handle difficult real-world aspects such as asymmetric information, imperfect competition, strategic interaction, collective learning, and the possibility of multiple equilibria. Recent advances in analytical and computational tools are permitting new approaches to the quantitative study of these aspects. One such approach is Agent-based Computational Economics (ACE), the computational study of economic processes modeled as dynamic (...) systems of interacting agents. This chapter explores the potential advantages and disadvantages of ACE for the study of economic systems. General points are concretely illustrated using an ACE model of a two-sector decentralized market economy. Six issues are highlighted: Constructive understanding of production, pricing, and trade processes; the essential primacy of survival; strategic rivalry and market power; behavioral uncertainty and learning; the role of conventions and organizations; and the complex interactions among structural attributes, institutional arrangements, and behavioral dispositions. (shrink)

In this article I present an alternative philosophy of science based on ideas drawn from the study of complex adaptive systems. As a result of the spectacular expansion in scientific disciplines, the number of scientists and scientific institutions in the twentieth century, I believe science can be characterised as a complex system. I want to interpret the processes of science through which scientists themselves determine what counts as good science. This characterisation of science as a complex system can give an (...) answer to the question why the sciences are so successful in solving growing numbers of problems and correcting their own mistakes. I utilise components of complexity theory to explain and interpret science as a complex system. I first explain the concept of complexity in ordinary language. The explanation of science as a complex system starts with a definition of the basic rules that guide the behaviour of science as a complex system. Next, I show how various sciences result through the implementation of these rules in the study of a specific aspect of reality. The explanation of the growth of science through evolutionary adaptation and learning forms the core of the article. (shrink)

(This version was submitted to Behavioral and Brain Science. A revised version was published by Biological Theory) Estimates of autism’s incidence increased 5-10 fold in ten years, an increase which cannot be genetic. Though many mutations are associated with autism, no mutation seems directly to cause autism. We need to find the direct cause. Complexity science provides a new paradigm - confirmed in biology by extensive hard data. Both the body and the personality are complex dynamic systems which spontaneously self-organize (...) from simple dynamic systems. Autism may therefore be caused by the failure of a simple dynamic system. We know that infants who cannot track their mother’s face often become autistic, that eye-contact initiates intersubjectivity which is blocked in autism, and that the infant-mother pair seems designed to promote eye-contact, as does the eye’s appearance. This author earlier proposed that failure of eye-contact might directly cause autism and that early non-maternal childcare, including television/video, would therefore be statistically linked to autism. Waldman et al. (2008; 2006) recently proved that autism is strongly linked to precipitation (indoor activity) and to the introduction of cable. The most plausible explanation? Early exposure to television/video is linked to autism. Furthermore a normal developmental cascade (blocked in autism) has been deciphered: (a) Infant-mother eye-contact triggers increased maternal attention. (b) Early maternal attention permanently increases not only baseline vasopressin but also that oxytocin release which is triggered by subsequent maternal attention. (c) Vasopressin and oxytocin promote face recognition, gazing-at-the-eyes, emotion recognition, and social bonding. The eye-contact hypothesis suggests a clinical study addressing prevention: recruit prospective parents who agree to curtail television/video/computer/wi-fi in their families; measure autism’s incidence in their children. (shrink)

Among many properties distinguishing emergence, such as novelty, irreducibility and unpredictability, computational accounts of emergence in terms of computational incompressibility aim first at making sense of such unpredictability. Those accounts prove to be more objective than usual accounts in terms of levels of mereology, which often face objections of being too epistemic. The present paper defends computational accounts against some objections, and develops what such notions bring to the usual idea of unpredictability. I distinguish the objective unpredictability, compatible with determinism (...) and entailed by emergence, and various possibilities of predictability at emergent levels. This makes sense of practices common in complex systems studies that forge qualitative predictions on the basis of comparisons of simulations with multiple values of parameters. I consider robustness analysis as a way to ensure the ontological character of computational emergence. Finally, I focus on the property of novelty, as it is displayed by biological evolution, and ask whether computer simulations of evolution can produce the same kind of emergence as the open-ended evolution attested in Phanerozoic records. (shrink)

I investigate the relationship between adaptation, as defined in evolutionary theory through natural selection, and the concept of emergence. I argue that there is an essential correlation between the former, and “emergence” defined in the field of algorithmic simulations. I first show that the computational concept of emergence (in terms of incompressible simulation) can be correlated with a causal criterion of emergence (in terms of the specificity of the explanation of global patterns). On this ground, I argue that emergence in (...) general involves some sort of selective processes. Finally, I show that a second criterion, concerning novel explanatory regularities following the emergence of a pattern, captures the robustness of emergence displayed by some cases of emergence (according to the first criterion). Emergent processes fulfilling both criteria are therefore exemplified in evolutionary biology by some so-called “innovations”, and mostly by the new units of fitness or new kinds of adaptations (like sexual reproduction, multicellular organisms, cells, societies) sometimes called “major transitions in evolution”, that recent research programs (Maynard-Smith and Szathmary 1995 ; Michod 1999 ) aims at explaining. (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)

Intermediate phenomena of reality present particular characteristics of systemic self-organization, multilevel interrelations, recursivity, emergence of new «objects» with properties different from those of the elements that form them, and evolutionary dynamics, that probably need the formulation of new theoretical concepts and different paradigm principles. The sciences or perspectives of complexity, or the «complex» thinking, try to respond adequately to this complexity of reality. This approach adopts a multidimensional, integrated and dynamic view of reality: the world is made up of overlapping (...) levels of different elements which produce new properties or new organizations at higher levels. If we conceive what we call languages as simple and decontextualized objects, we can understand some of the more mechanical aspects but we will ignore their conditions of existence, functionality, maintenance, variation, change and extinction. (shrink)

Historical processes exert an influence on the current state and evolution of situations of language contact, brought to bear from different domains, the economic and the political, the ideological and group identities, geo-demographics, and the habits of inter-group use. Clearly, this kind of phenomenon requires study from a complexical and holistic perspective in order to accommodate the variety of factors that belong to different levels and that interrelate with one another in the evolving dynamic of human languaging. Therefore, there is (...) a need for the restricted and general complexity approaches to come to a meeting of the minds, and take steps toward a mutual integration based on the acceptance of the shortcomings of each approach, achieving progress through a non-contradictory complementarity of perspectives. It must be conceded that the practical and methodological applications of basic complexical ideas need to be developed much farther in order to apply them to specific research. At the same time, the limits of complex adaptive systems as computational strategies must be accepted in the pursuit of a better understanding of the dynamic and evolutionary processes typical of human beings. New tools for the conception, apprehension and treatment of the data will need to be devised to complement existing ones and to enable us to make headway toward practices that better fit complexical perspectives. It seems obvious that human complexics must be seen as multi-methodological, insofar as necessary combining quantitative-computation methodologies and more qualitative methodologies aimed at understanding the historical mental and emotional world of people. (shrink)

Los fenómenos del nivel intermedio de la realidad presentan unas características particulares de autoorganización sistémica, de interrelación polinivelada, de recursividad, de emergencia de nuevos «objetos» con propiedades distintas a las de los elementos que los forman, y de dinamicidad evolutiva, que necesitan probablemente la formulación de nuevas concepciones teóricas y de principios paradigmáticos distintos. A esa «complejidad» de la realidad es a lo que intenta dar respuesta adecuada lo que se ha venido llamando perspectivas o ciencias de la complejidad o (...) también pensamiento complejo. Esta aproximación adopta una manera multidimensional, integrada y dinámica de ver la realidad: el mundo está constituido por la sobreposición emergente de distintos elementos que van produciendo entrelazadamente nuevas propiedades o nuevas organizaciones a medida que se va complexificando en niveles más altos. Si tratamos lo que llamamos lenguas como si fueran objetos simples y descontextualizados, podemos avanzar en la comprensión de algunos de sus aspectos más mecánicos pero podemos ignorar totalmente sus condiciones de existencia, funcionalidad, mantenimiento, variación, cambio o desaparición. (shrink)

Human linguistic phenomenon is at one and the same time an individual, social, and political fact. As such, its study should bear in mind these complex interrelations, which are produced inside the framework of the sociocultural and historical ecosystem of each human community. Understanding this phenomenon is often no easy task, due to the range of elements involved and their interrelations. The absence of valid, clearly developed paradigms adds to the problem and means that the theoretical conclusions that emerge may (...) be unclear on certain points. It is true that in the last fifty years sociolinguistic studies have advanced considerably, and today we have access to an impressive set of data and a wide variety of theoretical reflections. But as a discipline sociolinguistics does not yet have unified, powerful theoretical models able to account rigorously and clearly for the phenomena it studies. Sociolinguistic studies are today a diverse set of contributions in which certain and theoretical schools and lines of research emerged; but as is to be expected in a relatively new field, there is not enough communication between the various schools and they cannot yet be said to be integrated in terms of their conceptual and theoretical postulates. Against this background, our work aims to contribute to the overall, integrated understanding of the processes of language contact. Via an interdisciplinary, eclectic approach, it also aims to aid the theoretical grounding and integration of a unified, common sociolinguistic paradigm. Our strategy will not be merely to combine the contributions from ongoing research lines, but to address the question from a more global viewpoint which, together with the more innovative contemporary scientific disciplines, permits a harmonious integration of the various sociolinguistic perspectives in a broad, deep and unitary approach to the reality. The materials used to construct this unified approach are taken from many sources: Theoretical physics, ecology, the philosophy of science and mind, anthropology, phenomenological and process sociology, cognitive sciences, political science, pragmatics, history, systems theory, approaches to complexity and obviously sociolinguistics, are all involved in a dialogue in this desire for integration. (shrink)

This book aims to contribute to the overall, integrated understanding of the processes of language contact and their evolution, be they the result of political or economic (dis)integrations or migrations or for technological reasons. Via an interdisciplinary, holistic approach, it also aims to aid the theoretical grounding of a unified, common sociolinguistic paradigm, based on an ecological and complexical perspective. This perspective is based on the fact that linguistic structures do not live in isolation from their social functions and must (...) be situated in relation to the sub- and supra-systems that determine their existence if we are to understand their fortunes. It is a contribution in understanding and promoting the processes of linguistic revitalization in the world, combining at the same time the maintenance and development of diversity while ensuring the intercommunication of human species. (shrink)

This article explores the relationship between deliberative democracy, the Internet, and systems theory’s thoughts on diversity. After introducing Habermas’s theory of deliberative democracy and how diversity fits into it, the article discusses various ideas about whether and how it could work on the Internet. Next, the article looks at research into diversity done in the field of complex adaptive systems, showing that diversity has both good and bad effects, but is clearly preferred for the purpose of survival. The article concludes (...) with an analysis of how the results of systems theory’s study of diversity can assist society in bringing democracy to the Web. (shrink)

The paper discusses the concept of the cognitive niche and distinguishes the latter from the metabolic niche. By using these posits I unpack certain ideas that are crucial for the enactivist movement, especially for its original formulation proposed by Varela, Thompson and Rosh. Drawing on the ontology of location, boundaries, and parthood, I argue that enacting the world can be seen as the process of cognitive niche construction. Moreover, it turns out that enactivism—as seen through the lens of the conceptual (...) framework proposed in the paper—considers cognition as a kind of connection between the subject and the world. This post is pointed to as the key idea laid down in enactivism. (shrink)

The pervasive use of computer simulations in the sciences brings novel epistemological issues discussed in the philosophy of science literature since about a decade. Evolutionary biology strongly relies on such simulations, and in relation to it there exists a research program (Artificial Life) that mainly studies simulations themselves. This paper addresses the specificity of computer simulations in evolutionary biology, in the context (described in Sect. 1) of a set of questions about their scope as explanations, the nature of validation processes (...) and the relation between simulations and true experiments or mathematical models. After making distinctions, especially between a weak use where simulations test hypotheses about the world, and a strong use where they allow one to explore sets of evolutionary dynamics not necessarily extant in our world, I argue in Sect. 2 that (weak) simulations are likely to represent in virtue of the fact that they instantiate specific features of causal processes that may be isomorphic to features of some causal processes in the world, though the latter are always intertwined with a myriad of different processes and hence unlikely to be directly manipulated and studied. I therefore argue that these simulations are merely able to provide candidate explanations for real patterns. Section 3 ends up by placing strong and weak simulations in Levins’ triangle, that conceives of simulations as devices trying to fulfil one or two among three incompatible epistemic values (precision, realism, genericity). (shrink)

In the 1930s, socialist economists used the assumptions of equilibrium theory to argue that a central planner could coordinate supply and demand from above. This argument led Hayek, over the years, to try to explain the limitations of equilibrium theory and, conversely, to explain how capitalism functioned without the assumptions of equilibrium being met. In a changing world of agents who are ignorant of the future, how is a functioning market “order” possible? One answer can be found in Hayek's argument (...) that evolved rules make people's future behavior more predictable and, more to the point, that they contain previously accumulated knowledge that provides the building blocks for future economic growth. Hayek's evolutionary theory was flawed, however, in failing to explain how people can know which rules are responsible for their success or failure so that they persist in using those rules and pass them forward in time. However, markets provide immediate feedback about success and failure through profits and losses. An evolutionary explanation of the economy would have permitted Hayek to dispense with the metaphor of general equilibrium, which was increasingly irrelevant to his understanding of economic order. (shrink)

This article examines the existing confusion over the multiple leadership styles related to successful implementation of corporate social responsibility/sustainability in organisations. The researchers find that the problem is the complex nature of sustainability itself. We posit that organisations are complex adaptive systems operating within wider complex adaptive systems, making the problem of interpreting just in what way an organisation is to be sustainable, an extraordinary demand on leaders. Hence, leadership for sustainability requires leaders of extraordinary abilities. These are leaders who (...) can read and predict through complexity, think through complex problems, engage groups in dynamic adaptive organisational change and have the emotional intelligence to adaptively engage with their own emotions associated with complex problem solving. Leaders and leadership is a key interpreter of how sustainability of the organisation ‘links’ to the wider systems in which the organisation sits, and executing that link well requires unusual leaders and leadership systems. (shrink)

Two critiques of simple adaptationism are distinguished: anti-adaptationism and extended adaptationism. Adaptationists and anti-adaptationists share the presumption that an evolutionary explanation should identify the dominant simple cause of the evolutionary outcome to be explained. A consideration of extended-adaptationist models such as coevolution, niche construction and extended phenotypes reveals the inappropriateness of this presumption in explaining the evolution of certain important kinds of features—those that play particular roles in the regulation of organic processes, especially behavior. These biological or behavioral ‘levers’ are (...) distinctively available for adaptation and exaptation by their possessors and for co-optation by other organisms. As a result they are likely to result from a distinctive and complex type of evolutionary process that conforms neither to simple adaptationist nor to anti-adaptationist styles of explanation. Many of the human features whose evolutionary explanation is most controversial belong to this category, including the female orgasm. (shrink)

Designed to facilitate economic development, the corporate form now threatens human survival. This article presents an argument that organisations are yet to be ‘fit for purpose’ and that the corporate form needs to be re-designed to reach sustainability. It suggests that organisations need to recognise their agent status amongst a much wider and highly complex array of interconnected, dynamic economic, environmental and social systems. Human Factors theory is drawn on to propose that business systems could be made sustainable through re-design. (...) They could fit their environment more appropriately by improving: Efficiency, Adaptability and Social Cohesion. Leaders of organisations would also need to take a holistic approach to alter the organisation proactively to adapt to the systems within which it is embedded. (shrink)

A model of a spatio-cultural sub-context (enfolded in a wider scope context) is presented in the form of a blue print of a Complex System with a two-stage decision engine at its core. The engine first attaches a meaning to analyzable datum, and then decides whether to keep or change it. It does not alter already stored meanings but is designed to search for data to be converted into additional stored meanings and improve the accuracy of correspondence of their spatial (...) and cultural range of relevance. Meaning is reduced to the choice of a strategy—a future continuum of events; a choice dependent on a unique Evolutionary Path, a past continuum of events specific enough to lead to the current temporarily stable state of a spatio-cultural category. It is a blue print for a program that can emulate decisions to initiate changes in the environment in which a collective of culture partners resides; changes consisting of movements from one location to another or in the layout of its current location. The model is proposed at a low cultural resolution and is applicable, after suitable modifications, to a majority of city/period pairs. However, any such model has to be city/period specific. It is illustrated with a design for analyzing changes in the Israeli city, in particular in Tel Aviv. (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)

Complex systems are usually difficult to design and control. There are several particular methods for coping with complexity, but there is no general approach to build complex systems. In this thesis I propose a methodology to aid engineers in the design and control of complex systems. This is based on the description of systems as self-organizing. Starting from the agent metaphor, the methodology proposes a conceptual framework and a series of steps to follow to find proper mechanisms that will promote (...) elements to find solutions by actively interacting among themselves. The main premise of the methodology claims that reducing the “friction” of interactions between elements of a system will result in a higher “satisfaction” of the system, i.e. better performance. A general introduction to complex thinking is given, since designing self-organizing systems requires a non-classical thought, while practical notions of complexity and self-organization are put forward. To illustrate the methodology, I present three case studies. Self-organizing traffic light controllers are proposed and studied with multi-agent simulations, outperforming traditional methods. Methods for improving communication within self-organizing bureaucracies are advanced, introducing a simple computational model to illustrate the benefits of self-organization. In the last case study, requirements for self-organizing artifacts in an ambient intelligence scenario are discussed. Philosophical implications of the conceptual framework are also put forward. (shrink)

Metaphysics in ecology? Ecosystem as a Complex Adaptive System: The metaphysical exploration regarding the origin and evolution of life is also present in ecology, however, does not refer to individual organisms, but entire ecological systems, such as ecosystems and the biosphere. Ecosystem can be considered as a Complex Adaptive System, consisted of numerous, diverse, and autonomous entities, connected by a dense network of interactions. The essential feature of complex systems is the ability to learn and to self-organization, which is a (...) result of adaptation to changes in the environment. Understanding the ecosystem structure and functioning as well as pathways of its evolution is one of the greatest challenges of modern ecology. Ecological studies are often dominated by the reductionist approach, whereby all aspects of life can be explained by physical, chemical, or molecular processes. However, studies on complex systems has shown that the rules describing these systems can not be derived from the basic principles; their behavior defies the basic laws of physics, and in fact is very difficult to predict. Moreover, some aspects of ecology related to the dynamics of living systems violate all the postulates of Newton. Interactions between particular components of a complex ecological systems are asymmetrical, casual, indeterminate, and non-linear. The evolution of the ecosystem can be explained by process ecology that reflects the natural tendency to self-organization of the complex system. The unpredictability of the behavior of complex systems and the inability to provide all the complex ecological processes within the framework of Newtonian dynamics has created a new space in the world that has so far appeared as closed, atomistic and determined. The space in which the reunion between science and faith is becoming increasingly possible. (shrink)

Este artículo hace una presentación de un tema que ha sido pasado por alto en la filosofía, la filosofía de la ciencia y las ciencias de la complejidad, a saber: la importancia de las ciencias sociales y el modo como pueden beneficiarse con las matemáticas de los sistemas dinámicos. Por tanto, el ar..

This paper's purpose is to set forth the conditions of explanation in the domain of formal modelling of social action. Explanation is defined as an adequate account of the underlying factors bringing about a phenomenon. The modelling of a social phenomenon can claim explanatory value in this sense if the following two conditions are fulfilled. (1) The generative mechanisms involved translate the effects of real factors abstracted from their phenomenal context, not those of purely ideal ones. (2) The explanatory hypotheses, (...) which account for the effects of explanatory factors, and the purely descriptive hypotheses, which introduce conceptual simplifications and summarise complex secondary mechanisms, are relatively independent from each other with regard to the phenomenon represented. This condition subjects the model to testing by alternatives through the development of purely descriptive hypotheses in the sense of explanatory or analytical realism. (shrink)

We evaluate whether John Holland’s Echo model exemplifies his theory of complex adaptive systems. After reviewing Holland’s theory of complex adaptive systems and describing his Echo model, we describe and explain the characteristic evolutionary behavior observed in a series of Echo model runs. We conclude that Echo lacks the diversity of hierarchically organized aggregates that typify complex adaptive systems, and we explore possible explanations for this failure.

The Darwinian theory of evolution is itself evolving and this book presents the details of the core of modern Darwinism and its latest developmental directions. The authors present current scientific work addressing theoretical problems and challenges in four sections, beginning with the concepts of evolution theory, its processes of variation, heredity, selection, adaptation and function, and its patterns of character, species, descent and life. The second part of this book scrutinizes Darwinism in the philosophy of science and its usefulness in (...) understanding ecosystems, whilst the third section deals with its application in disciplines beyond the biological sciences, including evolutionary psychology and evolutionary economics, Darwinian morality and phylolinguistics. The final section addresses anti-Darwinism, the creationist view and issues around teaching evolution in secondary schools. The reader learns how current experimental biology is opening important perspectives on the sources of variation, and thus of the very power of natural selection. This work examines numerous examples of the extension of the principle of natural selection and provides the opportunity to critically reflect on a rich theory, on the methodological rigour that presides in its extensions and exportations, and on the necessity to measure its advantages and also its limits. Scholars interested in modern Darwinism and scientific research, its concepts, research programs and controversies will find this book an excellent read, and those considering how Darwinism might evolve, how it can apply to the human sciences and other disciplines beyond its origins will find it particularly valuable. Originally produced in French (Les Mondes Darwiniens), the scope and usefulness of the book have led to the production of this English text, to reach a wider audience. This book is a milestone in the impressive penetration by Francophone scholars into the world of Darwinian science, its historiography and philosophy over the last two decades. Alex Rosenberg, R. Taylor Cole Professor of Philosophy, Duke University Until now this useful and comprehensive handbook has only been available to francophones. Thanks to this invaluable new translation, this collection of insightful and original essays can reach the global audience it deserves. Tim Lewens, University of Cambridge. (shrink)

In the last decade, Systems Biology has emerged as a conceptual and explanatory alternative to reductionist-based approaches in molecular biology. However, the foundations of this new discipline need to be fleshed out more carefully. In this paper, we claim that a relational ontology is a necessary tool to ground both the conceptual and explanatory aspects of Systems Biology. A relational ontology holds that relations are prior—both conceptually and explanatory—to entities, and that in the biological realm entities are defined primarily by (...) the context they are embedded within—and hence by the web of relations they are part of. (shrink)

The task of designing effective economic and political institutions requires substantial foresight. The designer must anticipate not only the behavior of individual actors, but also how that behavior will aggregate. Rising complexity brought about by increases in speeds of adaptation, diversity, connectedness, and interdependence make institutional design all the more challenging. Given the focus on equilibria, the extant literature on mechanism design might appear incapable of coping with this complexity. Yet, I suggest that a deeper engagement with the origins of (...) the mechanism-design framework reveals insights that may help us design robust, adaptive institutions that can harness complexity. (shrink)

Publication du Groupe de Recherche en Épistémologie Comparée Directeur: Robert Nadeau Département de philosophie, Université du Québec à Montréal..

This article examines the imagination by way of various studies in cognitive science. It opens by examining the neural correlates of bodily metaphors. It assumes a basic knowledge of metaphor studies, or the primary finding that has emerged from this field: that large swathes of human conceptualization are structured by bodily relations. I examine the neural correlates of metaphor, concentrating on the relation between the sensory motor cortices and linguistic conceptualization. This discussion, however, leaves many questions unanswered. If it is (...) the case that the sensory motor cortices are appropriated in language acquisition, how does this process occur at the neural level? What neural preconditions exist such that this appropriation is possible? It is with these questions in mind that I will turn my attention to studies of neural plasticity, degeneracy and the mirror neuron activation. Whereas some scholarship in philosophy and cognitive neuroscience has aimed to identify the neurological correlates of consciousness, examining plasticity, degeneracy and activation shifts the discussion away from a study of correlates toward an exploration of the neurological dynamics of thought. This shift seems appropriate if we are to examine the processes of the “imagination.”. (shrink)

The ubiquitousness of failures in new information systems designs and implementations indicates that the design methodologies that the field has developed are inadequate or faulty. This paper points to the body of knowledge developed from design research as a potential source of expertise for developing design methods that are more successful. The paper describes a meta-theoretical method for classifying theories in the Information Systems field, and identifying areas that need farther development.

Power and leadership are typically theorized as exercises of sovereignty in the western tradition of thought. This essay takes up Michel Foucault’s challenge to escape the ‘spell of monarchy’ in our thinking in order to move beyond sovereign models of power. Interdisciplinary scholarship on complex adaptive systems provides fertile ground for this endeavor, illustrating the dynamics of post-sovereign power and opportunities for post-sovereign leadership. Viewing human organizations as complex adaptive systems helps us to theorize leadership without over-simplifying its nature or (...) exaggerating its potential. It also undermines the prevailing identification of sovereign power as the only antidote for anarchy. (shrink)

This paper presents a evolutionary simulation where the presence of 'tags' and an inbuilt specialisation in terms of skills result in the development of 'symbiotic' sharing within groups of individuals with similar tags. It is shown that the greater the number of possible sharing occasions there are the higher the population that is able to be sustained using the same level of resources. The 'life-cycle' of a particular cluster of tag-groups is illustrated showing: the establishment of sharing; a focusing-in of (...) the cluster; the exploitation of the group by a particular skill-group and the waning of the group. This simulation differs from other tag-based models in that is does not rely on either the forced donation of resources to individuals with the same tag and where the tolerance mechanism plays a significant part. These 'symbiotic' groups could provide the structure necessary for the true emergence of artificial societies, supporting a division of labour similar to that found in human societies. (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 paperIexplore 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)

Autopoiesis is normally considered to be the systems theory in law. In this paper complexity theory is presented as an alternative systems approach. In order to position complexity theory as a plausible alternative to autopoiesis I discuss the differing understanding of boundary within each theory, and use this as a vehicle to critique autopoiesis. My critique is situated within systems theory thinking but is external to both autopoiesis and complexity theory. Because both approaches possess an understanding of boundary it provides (...) an effective tool to contrast their differences, while permitting each to be described in its own language. It is argued that complexity theory offers an approach to boundaries as contingent, emergent interfaces, which the autopoietic construction of boundary can learn from in several ways. More generally it is suggested that the complexity approach to boundaries offers lawyers engaging with systems theory a new critical perspective to assess legal constructions. (shrink)

In the midst of greed, corruption, the economic crash and the general disillusionment of business, current conceptions of leadership, organizational values, and authenticity are being questioned. In this article, we fill a prior research gap by directly exploring the intersection of these three concepts. We begin by delving into the relationship between individual values and organizational values. This analysis reveals that the “value fit” approach to creating authenticity is limited, and also indicates that a deeper exploration of the nature of (...) values and the role of leadership is necessary. More specifically, we propose that organizational values should be viewed as an opportunity for ongoing conversations about who we are and how we connect. Through this type of dialogue which we define as “value through conversation”, we can create what we call poetic organizations. A typology of four interconnected values each of which forms a foundation for the critical questioning and inquiry that might be found in poetic organizations is developed. We suggest that this conceptualization offers a new and dynamic approach for thinking about the relationships between leadership, values, and authenticity and has important implications for both research and practice. (shrink)

A view of evolution is presented in this paper (a two paper series), intended as a methodological infrastructure for modeling spatio-cultural systems (the design outline of such a model is presented in paper II). A motivation for the re-articulation of evolution as information dynamics is the phenomenologically discovered prerequisite of embedding a meaning-attributing apparatus in any and all models of spatio-cultural systems. An evolution is construed as the dynamics of a complex system comprised of memory devices, connected in an ordered (...) fashion (not randomly) by information-exchanges. An information-exchange transpires when the recipient system adopts a strategy (a continuum of events) that eventually changes its structure; namely, after the exchange, it contains and conveys different information. These memory devices—sub-systems—are also similarly constructed complex system. Only a part of the information is retained by a system in its physical-memory storage, which eventually loses this function too, when the ability to retrieve a common enough structure is lost. The entire amount of information is a system’s structure of connections (information exchanges); it is contained (apparently stored) dynamically when a system is observed in a temporarily stable state. This temporary permanence—robustness and resilience—is attained dynamically; namely, enabled by changes taking place in its sub-systems and in each of their sub-systems. Therefore, for modeling such a system a multi-layer/multi-scale approach is preferable. It enables the addition and subtraction of an interim scale and the consideration of such a scale as a micro or a macro (thus initiating a maneuver up or down scale) according to an ad-hoc requirement of the model, which imitates an envisaged sub system (called an ‘Inner World’), to which a certain range of decisions is relegated. This dynamics is driven (in time) by dynamically originated information growth, as defined by Shannon; i.e. by the fact that each of certain state transitions have occurred sometime in the past of the system just so and not otherwise, and by the fact that they have occurred in a certain order. Therefore, each ‘history’ and memory retrieval availability of information is unique, and thus can be used to differentiate meanings. Hence, there cannot be a comprehensive solution to the meaning attribution model-design challenge. However, the observation that at the core of each envisaged complex system, moving in time according to a rounded logic, there is an information manipulating device, operating necessarily according to a Boolean logic, can be copied into the design of a model. This observation enables, therefore, the embedding of a specific, locally fitted, meaning attributing device, which is an information manipulating mechanism (it splices/attaches one segment of information to another—its meaning). However, this is just a framework; the actual solution has still to be found locally—for each subject system. Such a solution is demonstrated for the change in location or layout in the Israeli city in paper II. (shrink)

In my opinion, it is only in the framework of a research dealing with abductive cognition that we can analyze important cognitive aspects of human and machine capacities. From the point of view of human capacities the phenomenological concept of anticipation, which is related to the problem of the spontaneous generation of spatiality and its three-dimensionality, will be central. I will describe that anticipations can be seen as types of visual and manipulative abduction and also fruitful to illustrate, in the (...) case of human and machine capacities, the respective role of two kinds of strategic reasoning: locked and unlocked abductive strategies, which characterize the basic cognitive pro- cedure of “reading ahead”. The specificity of these contrasting inferential strategies is also related to their potentiality in producing different kinds of hypothetical outcomes, which in turn represent dissimilar levels of knowledge creativity. This diversity is also fundamental to depict the special character, the kind of creativity, and the limits of current computational deep learning AI systems, such as AlphaGo, which realize abductive cognitive processes. (shrink)