Against the concept that objects are defined by their self-contained essence – “thing-in-themselves” – Husserl and Foucault claim they are defined by intersubjectivity or social institutions. I argue that biological and even physical (complex) systems can constitute the unity and meaning of objects.

When one defines "order" as a sorting of priorities, it becomes beautifully clear as to what Foucault is doing here. With virtuoso showmanship, he weaves an intensely complex history of thought. He dips into literature, art, economics and even biology in The Order of Things, possibly one of the most significant, yet most overlooked, works of the twentieth century. Eclipsed by his later work on power and discourse, nonetheless it was The Order of Things that established Foucault's reputation as (...) an intellectual giant. Pirouetting around the outer edge of language, Foucault unsettles the surface of literary writing. In describing the limitations of our usual taxonomies, he opens the door onto a whole new system of thought, one ripe with what he calls "exotic charm". Intellectual pyrotechnics from the master of critical thinking, this book is crucial reading for those who wish to gain insight into that odd beast called Postmodernism, and a must for any fan of Foucault. (shrink)

The concept of inreducible complexity is central to the origins controversy. Ineducible complexity (IC) may be defined as any machine or system that requires two or more parts in order to function. Examples range from molecules to mousetraps, organelles, and organisms such as humans. This essay explores the relationship between IC and complexity, clarifying the levels of IC such as the irreducible core and its mode of function. IC has been used in a wide variety of disciplines for over a (...) century. Objections to irreducibte complexity include co-option, the "junk DNA" theory, and the scaffolding argument. Co-option, a major argument against IC, attempts to explain how IC can be achieved through natural means by utilizing existing parts to construct a new biological machine or structure. Yet examples of IC in both the biological and non-biological wortds show that such common objections do not invalidate the concept. IC is firmly established. (shrink)

Purpose. Our study aims at developing a conceptual model of transdisciplinary synthesis of philosophical-anthropological, sociopolitical and epistemological aspects of co-evolution of the scientific and technical designs of High Hume class and the socio-cultural / political context in the process of anthropo-socio-cultural genesis. The relevance of the topic is justified by the technologization of all spheres of human existence and the emergence of High Hume class technologies, which can be called technology-driven equally. As a result, the concepts of "bio-power" and "biopolitics" (...) have become ones of the most frequently mentioned in modern philosophical and anthropological discourse and attract increasing attention of philosophers, sociologists, and, in the last decadecades, experts in the field of practical political science and economics (Foucault, Agamben, Žižek, Kebnik, Nadesan, etc.). Theoretical basis. It is problem-theoretical research; We synthesize the results of our publications in recent years. We proceed from the fact that the main question of the informational phase of the development of a technogenic civilization lies in the rationalization and technologization of the evolutionary process, i.e. in the removal of the fundamental ontological antinomy “Evolution versus Reasonable Design”, as a result for modern neoliberal political democracy, biopower and its theoretical understanding (biopolitics) are effective tools and technologies to form of optimal trends of the global evolutionary process, in the framework of this ideological system. We have chosen the comparative conceptual analysis combining with the results of the content analysis of Web publications by the main method of the study. Originality of the research is in the fact that the central core of such a model is the use of a conceptual and terminological apparatus for describing the mechanisms of the progressive evolution of complex systems, known as the “triple spiral” by Ledeisdorf-Itskovich. This allowed us to integrate the bio-power phenomenon into the general scheme of a stable evolutionary strategy of a technogenic civilization. The conclusions. We justified the transformation of biopolitics into the main factor in the global evolution of self-organizing human-sized systems, including the biosphere as a whole. This is achieved through the creation of a specific (bio) ethical system of imperatives and the activities of individuals in relation to themselves and other agents of social actions. Bioethics with a trail of associated conceptual areas (biosociology, bioeconomics, biohistory, etc.) turned out to be the only rationalized regulator of the process of biological and sociocultural evolution. The triple spiral biotechnology – bioeconomy – bioenergy as the material substance of the life of technological civilization is reflected in the ideal world as a triad of bioethics – biosociology – biopolitics. Both triads form closed cycles of evolutionary transformations that transmit and amplify the initial momentum of transformations on each other through a cascade mechanism with positive feedback. (shrink)

Two computer simulations are investigated that model interaction of cultural evolution of language and biological evolution of adaptations to language. Both are agent‐based models in which a population of agents imitates each other using realistic vowels. The agents evolve under selective pressure for good imitation. In one model, the evolution of the vocal tract is modeled; in the other, a cognitive mechanism for perceiving speech accurately is modeled. In both cases, biological adaptations to using and learning speech evolve, even though (...) the system of speech sounds itself changes at a more rapid time scale than biological evolution. However, the fact that the available acoustic space is used maximally (a self‐organized result of cultural evolution) is constant, and therefore biological evolution does have a stable target. This work shows that when cultural and biological traits are continuous, their co‐evolution may lead to cognitive adaptations that are strong enough to detect empirically. (shrink)

The paper explores the basis for decision?making and policy with regard to the Environment. Clearly these should be based on knowledge of possible consequences and accompanying risk assessments involving the linked behaviour of the many interacting human actors within a socio?economic system and the ecological, and physical systems in which they are embedded. The paper describes the Complex Systems approach to these problems, showing the kind of models that are required in order to obtain whatever limited knowledge is possible (...) about the co?evolution of the human and environmental systems involved. Several practical examples are described and the models briefly presented. These are shown as examples of what should be required for the creation of the necessary basis for making policy and decision explorations with an integrated view of the system as a whole, instead of separate parts studied in detail by experts of specific disciplines. This provides a framework for making real use of the ?knowledge? of disciplinary experts, and linking their narrow views to the overall, practical consequences in the real world of possible policy options. (shrink)

Two computer simulations are investigated that model interaction of cultural evolution of language and biological evolution of adaptations to language. Both are agent-based models in which a population of agents imitates each other using realistic vowels. The agents evolve under selective pressure for good imitation. In one model, the evolution of the vocal tract is modeled; in the other, a cognitive mechanism for perceiving speech accurately is modeled. In both cases, biological adaptations to using and learning speech evolve, even though (...) the system of speech sounds itself changes at a more rapid time scale than biological evolution. However, the fact that the available acoustic space is used maximally is constant, and therefore biological evolution does have a stable target. This work shows that when cultural and biological traits are continuous, their co-evolution may lead to cognitive adaptations that are strong enough to detect empirically. (shrink)

Today a change is imperative in approaching global problems: what is needed is not arm-twisting and power politics, but searching for ways of co-evolution in the complex social and geopolitical systems of the world. The modern theory of self-organization of complex systems provides us with an understanding of the possible forms of coexistence of heterogeneous social and geopolitical structures at different stages of development regarding the different paths of their sustainable co-evolutionary development. The theory argues that the evolutionary (...) channel to the observed increasing complexity is extremely narrow and only certain discrete spectra of relatively stable self-maintained structures are feasible in complex systems. There exists a restricted set of ways of assembling a complex evolutionary whole from diverse parts. The law of nonlinear synthesis of complex structures reads: the integration of structures in more complex ones occurs due to the establishment of a common tempo of their evolution. On the basis of the theory, we can see not only desirable but also attainable futures. (shrink)

This book explores the universe and its subsystems from the three lenses of evolutionary (diversifying), developmental (converging), and complex (adaptive) processes at all scales. It draws from prolific experts within the academic disciplines of complexity science, physical science, information and computer science, theoretical and evo-devo biology, cosmology, astrobiology, evolutionary theory, developmental theory, and philosophy. The chapters come from a Satellite Meeting, "Evolution, Development and Complexity" (EDC) hosted at the Conference on Complex Systems, in Cancun, 2017. The contributions will (...) be peer-reviewed and contributors from outside the conference will be invited to submit chapters to ensure full coverage of the topics. This book explores many issues within the field of EDC such as the interaction of evolutionary stochasticity and developmental determinism in biological systems and what they might teach us about these twin processes in other complex systems. This text will appeal to students and researchers within the complex systems and EDC fields.. (shrink)

The process of condensation of an amorphous solid into a rigid matrix can often trap molecules in reversible binding sites. Exchange of the same molecular species with such sites is known to be sensitive to small chemical differences and to distinguish between enantiomers. In addition to their usefulness in chromatographic processes, such materials can separate, by solid phase extraction, specific compounds from complex mixtures. Furthermore, the trapped molecules can have their reactions guided and catalytically changed. The combination of this (...) spontaneously formed system of templates and catalytic sites may support a type of replication cycle, and suggests some pathways from simple chemistry toward the complexities of biology. © 2005 Wiley Periodicals, Inc. Complexity 11: 30–35, 2005 -/- . (shrink)

A novel conceptual framework is introduced for the Complexity Levels Theory in a Categorical Ontology of Space and Time. This conceptual and formal construction is intended for ontological studies of Emergent Biosystems, Super-complex Dynamics, Evolution and Human Consciousness. A claim is defended concerning the universal representation of an item’s essence in categorical terms. As an essential example, relational structures of living organisms are well represented by applying the important categorical concept of natural transformations to biomolecular reactions and relational structures (...) that emerge from the latter in living systems. Thus, several relational theories of living systems can be represented by natural transformations of organismic, relational structures. The ascent of man and other living organisms through adaptation, is viewed in novel categorical terms, such as variable biogroupoid representations of evolving species. Such precise but flexible evolutionary concepts will allow the further development of the unifying theme of local-to-global approaches to highly complex systems in order to represent novel patterns of relations that emerge in super- and ultra-complex systems in terms of compositions of local procedures. Solutions to such local-to-global problems in highly complex systems with ‘broken symmetry’ might be possible to be reached with the help of higher homotopy theorems in algebraic topology such as the generalized van Kampen theorems (HHvKT). Categories of many-valued, Łukasiewicz-Moisil (LM) logic algebras provide useful concepts for representing the intrinsic dynamic ‘asymmetry’ of genetic networks in organismic development and evolution, as well as to derive novel results for (non-commutative) Quantum Logics. Furthermore, as recently pointed out by Baianu and Poli (Theory and applications of ontology, vol 1. Springer, Berlin, in press), LM-logic algebras may also provide the appropriate framework for future developments of the ontological theory of levels with its complex/entangled/intertwined ramifications in psychology, sociology and ecology. As shown in the preceding two papers in this issue, a paradigm shift towards non-commutative, or non-Abelian, theories of highly complex dynamics—which is presently unfolding in physics, mathematics, life and cognitive sciences—may be implemented through realizations of higher dimensional algebras in neurosciences and psychology, as well as in human genomics, bioinformatics and interactomics. (shrink)

We introduce the notion of complexity, first at an intuitive level and then in relatively more concrete terms, explaining the various characteristic features of complex systems with examples. There exists a vast literature on complexity, and our exposition is intended to be an elementary introduction, meant for a broad audience. -/- Briefly, a complex system is one whose description involves a hierarchy of levels, where each level is made of a large number of components interacting among themselves. The (...) time evolution of such a system is of a complex nature, depending on the interactions among subsystems in the next level below the one under consideration and, at the same time, conditioned by the level above, where the latter sets the context for the evolution. Generally speaking, the interactions among the constituents of the various levels lead to a dynamics characterized by numerous characteristic scales, each level having its own set of scales. What is more, a level commonly exhibits ‘emergent properties’ that cannot be derived from considerations relating to its component systems taken in isolation or to those in a different contextual setting. In the dynamic evolution of some particular level, there occurs a self-organized emergence of a higher level and the process is repeated at still higher levels. -/- The interaction and self-organization of the components of a complex system follow the principle commonly expressed by saying that the ‘whole is different from the sum of the parts’. In the case of systems whose behavior can be expressed mathematically in terms of differential equations this means that the interactions are nonlinear in nature. -/- While all of the above features are not universally exhibited by complex systems, these are nevertheless indicative of a broad commonness relative to which individual systems can be described and analyzed. There exist measures of complexity which, once again, are not of universal applicability, being more heuristic than exact. The present state of knowledge and understanding of complex systems is itself an emerging one. Still, a large number of results on various systems can be related to their complex character, making complexity an immensely fertile concept in the study of natural, biological, and social phenomena. -/- All this puts a very definite limitation on the complete description of a complex system as a whole since such a system can be precisely described only contextually, relative to some particular level, where emergent properties rule out an exact description of more than one levels within a common framework. -/- We discuss the implications of these observations in the context of our conception of the so-called noumenal reality that has a mind-independent existence and is perceived by us in the form of the phenomenal reality. The latter is derived from the former by means of our perceptions and interpretations, and our efforts at sorting out and making sense of the bewildering complexity of reality takes the form of incessant processes of inference that lead to theories. Strictly speaking, theories apply to models that are constructed as idealized versions of parts of reality, within which inferences and abstractions can be carried out meaningfully, enabling us to construct the theories. -/- There exists a correspondence between the phenomenal and the noumenal realities in terms of events and their correlations, where these are experienced as the complex behavior of systems or entities of various descriptions. The infinite diversity of behavior of systems in the phenomenal world are explained within specified contexts by theories. The latter are constructs generated in our ceaseless attempts at interpreting the world, and the question arises as to whether these are reflections of `laws of nature' residing in the noumenal world. This is a fundamental concern of scientific realism, within the fold of which there exists a trend towards the assumption that theories express truths about the noumenal reality. We examine this assumption (referred to as a ‘point of view’ in the present essay) closely and indicate that an alternative point of view is also consistent within the broad framework of scientific realism. This is the view that theories are domain-specific and contextual, and that these are arrived at by independent processes of inference and abstractions in the various domains of experience. Theories in contiguous domains of experience dovetail and interpenetrate with one another, and bear the responsibility of correctly explaining our observations within these domains. -/- With accumulating experience, theories get revised and the network of our theories of the world acquires a complex structure, exhibiting a complex evolution. There exists a tendency within the fold of scientific realism of interpreting this complex evolution in rather simple terms, where one assumes (this, again, is a point of view) that theories tend more and more closely to truths about Nature and, what is more, progress towards an all-embracing ‘ultimate theory’ -- a foundational one in respect of all our inquiries into nature. We examine this point of view closely and outline the alternative view -- one broadly consistent with scientific realism -- that there is no ‘ultimate’ law of nature, that theories do not correspond to truths inherent in reality, and that successive revisions in theory do not lead monotonically to some ultimate truth. Instead, the theories generated in succession are incommensurate with each other, testifying to the fact that a theory gives us a perspective view of some part of reality, arrived at contextually. Instead of resembling a monotonically converging series successive theories are analogous to asymptotic series. -/- Before we summarize all the above considerations, we briefly address the issue of the complexity of the {\it human mind} -- one as pervasive as the complexity of Nature at large. The complexity of the mind is related to the complexity of the underlying neuronal organization in the brain, which operates within a larger biological context, its activities being modulated by other physiological systems, notably the one involving a host of chemical messengers. The mind, with no materiality of its own, is nevertheless emergent from the activity of interacting neuronal assemblies in the brain. As in the case of reality at large, there can be no ultimate theory of the mind, from which one can explain and predict the entire spectrum of human behavior, which is an infinitely rich and diverse one. (shrink)

Despite the importance of the co-evolution approach in various branches of research, such as strategy, organisation theory, complexity, population ecology, technology and innovation (Lewin et al., 1999; March, 1991), co-evolution has been relatively neglected in international business and ethics research (Madhok and Phene, 2001). The purpose of this article is to show how co-evolution theory provides a theoretical framework within which some issues of ethics research are addressed. Our analysis is in the context of the contrasts between business systems (North, (...) 1990), and in particular the distinction between informal systems and those systems where institutions are formalised in law. This complements the growing research on comparative corporate governance and capitalisms (Chandler and Hikino, 1990; Choi et al., 1999; Whitley, 1994). The synthesis of co-evolution and analysis of divergent institutional environments in ethics research can also complement the globalisation and MNE approaches to international business research. (shrink)

Evolution, Order and Complexity reflects topical interest in the relationship between the social and natural worlds. It represents the cutting edge of current thinking which challenges the natural/social dichotomy thesis by showing how the application of ideas which derive from biology can be applied and offer insight into the social realm. This is done by introducing the general system theory to the methodological debate on the relation of human and natural sciences.

This article presents a new hypothesis on the origin of life on Earth. According to this hypothesis, life arose within the limits of a particular material system representing a set of specific local environments integrated by a common circulating liquid medium where relatively short RNA molecules, viroid-like particles, are replicated with great accuracy. In each of the local environments, the synthesis of certain substances that are required for accurate replication and survival of the RNAs is carried out. The system, which (...) we called “diffuse organism,” is, in essence, a very rough and bulky analog of the structural-functional organization of the cell’s biosynthetic machinery. The diffuse organism was an organismal and evolving system at the same time. It seems that only such a system that has emerged in the only specimen as a result of a set of chance events operating under a system of universal physical and chemical laws was able to give rise to life and evolution by means of biological selection. The outlined scenario for the origin of life allows us to narrow down the still insuperable gap between prebiological chemistry and the first living systems without devising conceptions unrelated to the realities of life. (shrink)

Arguments for or against a trend in the evolution of complexity are weakened by the lack of an unambiguous definition of complexity. Such definitions abound for both dynamical systems and biological organisms, but have drawbacks of either a conceptual or a practical nature. Physical complexity, a measure based on automata theory and information theory, is a simple and intuitive measure of the amount of information that an organism stores, in its genome, about the environment in which it evolves. It is (...) argued that physical complexity must increase in molecular evolution of asexual organisms in a single niche if the environment does not change, due to natural selection. It is possible that complexity decreases in co‐evolving systems as well as at high mutation rates, in sexual populations, and in time‐dependent landscapes. However, it is reasoned that these factors usually help, rather than hinder, the evolution of complexity, and that a theory of physical complexity for co‐evolving species will reveal an overall trend towards higher complexity in biological evolution. BioEssays 24:1085–1094, 2002. © 2002 Wiley‐Periodicals, Inc. (shrink)

To understand how complex dynamic systems, living or non-living, linguistic or non-linguistic, come to be organized as systems, to understand how their inherent dynamic nature gives rise to organisations and forms that have found a balance between potentiality for change and evolution on the one hand, and requisite stability in a given environment on the other, is the main ambition of the study of evolutionary systems. The aim of the present volume is to elucidate the scientific and philosophical backgrounds (...) that play a role in one of the major debates taking place in that field, namely that on the relation between selection and self-organization. The book represents a genuine interdisciplinary forum in which the major representatives of evolutionary systems take part. Audience: This volume will be interest to biologists, philosophers of science, systems scientists, mathematicians, physicists, sociologists of science. It is highly recommended to those interested in an interdisciplinary and complex approach to evolution, as well as to those interested in developing a genuinely historical viewpoint in the sciences. (shrink)

Change is an inborn trait of all organisms at every level of existence. This article proposes that the evolution of all life follows a course as if bound by a guiding principle or template. Overcoming disorder and entropy through diversity, this template has the properties of a spiral force, which acts to maintain continuity during change and transitions, and operates at all levels, from the simplest of forms to the most complex. Drawing from Chaos Theory, biology, depth psychology, and (...) Buddhism, the spiral template is presented as a new vision of reality guiding scientific and spiritual perspectives toward evolutionary wholeness. (shrink)

Plastids and mitochondria arose through endosymbiotic acquisition of formerly free-living bacteria. During more than a billion years of subsequent concerted evolution, the three genomes of plant cells have undergone dramatic structural changes to optimize the expression of the compartmentalized genetic material and to fine-tune the communication between the nucleus and the organelles. The chimeric composition of many multiprotein complexes in plastids and mitochondria (one part of the subunits being nuclear encoded and another one being encoded in the organellar genome) provides (...) a paradigm for co-evolution at the cellular level. In this paper, we discuss the co-evolution of nuclear and organellar genomes in the context of environmental adaptation in species and populations. We highlight emerging genetic model systems and new experimental approaches that are particularly suitable to elucidate the molecular basis of co-adaptation processes and describe how nuclear-cytoplasmic co-evolution can cause genetic incompatibilities that contribute to the establishment of hybridization barriers, ultimately leading to the formation of new species. (shrink)

A replicator is simply something that makes copies of itself. There are hypothetical replicators (e.g., self-catalyzing chemical cycles) that are suspected to be unable to exhibit heritable variation. Variation in any of their constituent molecules would not lead them to produce offspring with those new variant molecules. Copying, such as in DNA replication or in xerox machines, allows any sequence to be remade and then sequence variations to be inherited. This distinction has been used against non-RNA-world hypotheses: without RNA replication (...) systems have no capacity to exhibit heritable variation. However, is copying the only way to have heritable variation? This article suggests that evolution can happen without anything being copied and that, in fact, RNA copying is too complex to arise spontaneously as the first pre-biotic system. There would then be a historical gradation of systems from non-alive to alive in which the capacity to have heritable changes would progressively increase and in which copying, as in template-based RNA-replication, would be a crucial but relatively late event. In addition, this article proposes a way by which RNA replication could have arisen, after systems able to evolve arose, as a crucial innovation and how that innovation spread over existing evolutionary systems and became a major driver of subsequent evolution. (shrink)

The comparison between biological and social macroevolution is a very important (though insufficiently studied) subject whose analysis renders new significant possibilities to comprehend the processes, trends, mechanisms, and peculiarities of each of the two types of macroevolution. Of course, there are a few rather important (and very understandable) differences between them; however, it appears possible to identify a number of fundamental similarities. One may single out at least three fundamental sets of factors determining those similarities. First of all, those similarities (...) stem from the fact that in both cases we are dealing with very complex non-equilibrium (but rather stable) systems whose principles of functioning and evolution are described by the General Systems' Theory, as well as by a number of cybernetic principles and laws. -/- Secondly, in both cases we do not deal with isolated systems; in both cases we deal with a complex interaction between systems of organic systems and external environment, whereas the reaction of systems to external challenges can be described in terms of certain general principles (that, however, express themselves rather differently within the biological reality, on the one hand, and within the social reality, on the other). -/- Thirdly, it is necessary to mention a direct ‘genetic’ link between the two types of macroevolution and their mutual influence. -/- It is important to emphasize that the very similarity of the principles and regularities of the two types of macroevolution does not imply their identity. Rather significant similarities are frequently accompanied by enormous differences. For example, genomes of the chimpanzees and the humans are very similar – with differences constituting just a few per cent; however, there are enormous differences with respect to intellectual and social differences of the chimpanzees and the humans hidden behind the apparently ‘insignificant’ difference between the two genomes. Thus, in certain respects it appears reasonable to consider the biological and social macroevolution as a single macroevolutionary process. This implies the necessity to comprehend the general laws and regularities that describe this process, though their manifestations may display significant variations depending on properties of a concrete evolving entity (biological, or social one). An important notion that may contribute to the improvement of the operationalization level as regards the comparison between the two types of macroevolution is the one that we suggested some time ago – the social aromorphosis (that was developed as a counterpart to the notion of biological aromorphosis well established within Russian evolutionary biology). We regard social aromorphosis as a rare qualitative macrochange that increases in a very significant way complexity, adaptability, and mutual influence of the social systems, that opens new possibilities for social macrodevelopment. In our paper we discuss a number of regularities that describe biological and social macroevolution and that employ the notions of social and biological aromorphosis such as ones of the module evolution (or the evolutionary ‘block assemblage’), ‘payment for arogenic progress’ etc. (shrink)

Introduction to complexity and complex systems -- Introduction to large linear systems -- Introduction to biochemical oscillators and nonlinear biochemical systems -- Modularity, redundancy, degeneracy, pleiotropy and robustness in complex biological systems -- The evolution of biological complexity; invertebrate immune systems -- Irreducible and specified complexity in living systems -- The complex adaptive and innate human immune systems -- Complexity in quasispecies : microRNAs -- Introduction to complexity in economic systems -- Complexity in quasispecies : micrornas -- (...) Dealing with complexity. (shrink)

1 The Zero-Force Evolutionary Law 2 Randomness, Hierarchy, and Constraint 3 Diversity 4 Complexity 5 Evidence, Predictions, and Tests 6 Philosophical Foundations 7 Implications.

Ethical concerns regarding agricultural practices can be found to co-evolve with technological developments. This paper aims to create an understanding of ethics that is helpful in debating technological innovation by studying such a co-evolution process in detail: the development and adoption of the milking robot. Over the last decade an increasing number of milking robots, or automatic milking systems (AMS), has been adopted, especially in the Netherlands and a few other Western European countries. The appraisal of this new technology in (...) ethical terms has appeared to be a complicated matter. Compared to using a conventional milking parlor, the use of an AMS entails in several respects a different practice of dairy farming, the ethical implications and evaluation of which are not self-evident but are themselves part of a dynamic process. It has become clear that with its use, the entire practice of dairy farming has been reorganized around this new device. With a robot, cows must voluntarily present themselves to be milked, whereby an ethical norm of (individual) freedom for cows can be seen to emerge together with this new technology. But adopting a robot also implies changes in what is considered to be a good farmer and an appropriate relation between farmer and cow. Through interviews, attending “farmers’ network” meetings in the Netherlands, and studying professional literature and dedicated dairy farming web forums, this paper traces the way that ethical concerns are a dynamic part of this process of rearranging a variety of elements of the practice of dairy farming. (shrink)

Evolutionary theory is formulated in terms of individuals that carry heritable information and are subject to selective pressures. However, individuality itself is a trait that had to evolve - an individual is not an indivisible entity, but a result of evolutionary processes that necessarily begin at the lower level of hierarchical organisation. Traditional approaches to biological individuality focus on cooperation and relatedness within a group, division of labour, policing mechanisms and strong selection at the higher level. Nevertheless, despite considerable theoretical (...) progress in these areas, a full dynamical first-principles account of how new types of individuals arise is missing. To the extent that individuality is an emergent trait, the problem can be approached by recognising the importance of individuating mechanisms that are present from the very beginning of the transition, when only lower-level selection is acting. Here we review some of the most influential theoretical work on the role of individuating mechanisms in these transitions, and demonstrate how a lower-level, bottom-up evolutionary framework can be used to understand biological complexity involved in the origin of cellular life, early eukaryotic evolution, sexual life cycles and multicellular development. Some of these mechanisms inevitably stem from environmental constraints, population structure and ancestral life cycles. Others are unique to specific transitions - features of the natural history and biochemistry that are co-opted into conflict mediation. Identifying mechanisms of individuation that provide a coarse-grained description of the system's evolutionary dynamics is an important step towards understanding how biological complexity and hierarchical organisation evolves. In this way, individuality can be reconceptualised as an approximate model that with varying degrees of precision applies to a wide range of biological systems. (shrink)

Development and Evolution surveys and illuminates the key themes of rapidly changing fields and areas of controversy that the redefining the theory and philosophy of biology. It continues Stanley Salthe's investigation of evolutionary theory, begun in his influential book Evolving Hierarchical Systems, while negating the implicit philosophical mechanisms of much of that work. Here Salthe attempts to reinitiate a theory of biology from the perspective of development rather than from that of evolution, recognizing the applicability of general systems thinking to (...) biological and social phenomena and pointing towards a non-Darwinian and even a postmodern biology. (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.

Human development has become particularly complex during the evolution. In this complexity, adolescence is an extremely important developmental stage. Adolescence is characterized by biological and social changes that create the prerequisites to psychopathological problems, including both substance and non-substance addictive behaviors. Central to the dynamics of the biological changes during adolescence are the synergy between sexual and neurophysiological development, which activates the motivational/emotional systems of Dominance/Submission. The latter are characterized by the interaction between the sexual hormones, the dopaminergic system (...) and the stress axis. The maturation of these motivational/emotional systems requires the integration with the phylogenetically more recent Attachment/CARE Systems, which primarily have governed the subject’s relationships until puberty. The integration of these systems is particularly complex in the human species, due to the evolution of the process of competition related to sexual selection: from a simple fight between two individuals to a struggle for the acquisition of a position in rank and the competition between groups. The latter is an important evolutionary acquisition and believed to be the variable that has most contributed to enhancing the capacity for cooperation in the human species. The interaction between competition and cooperation, and between competition and attachment, characterizes the entire human relational and emotional structure and the unending work of integration to which the BrainMind is involved. The beginning of the integration of the aforementioned motivational/emotional systems is currently identified in the prepubertal period, during the juvenile stage, with the development of the Adrenarche—the so-called Adrenal Puberty. This latter stage is characterized by a low rate of release of androgens, the hormones released by the adrenal cortex, which activate the same behaviors as those observed in the PLAY system. The Adrenarche and the PLAY system are biological and functional prerequisites of adolescence, a period devoted to learning the difficult task of integrating the phylogenetically ancient Dominance/Submission Systems with the newer Attachment/CARE Systems. These systems accompany very different adaptive goals which can easily give rise to mutual conflict and can in turn make the balance of the BrainMind precarious and vulnerable to mental suffering. (shrink)

This article deals with the links between the enaction paradigm and artificial intelligence. Enaction is considered a metaphor for artificial intelligence, as a number of the notions which it deals with are deemed incompatible with the phenomenal field of the virtual. After explaining this stance, we shall review previous works regarding this issue in terms of artificial life and robotics. We shall focus on the lack of recognition of co-evolution at the heart of these approaches. We propose to explicitly integrate (...) the evolution of the environment into our approach in order to refine the ontogenesis of the artificial system, and to compare it with the enaction paradigm. The growing complexity of the ontogenetic mechanisms to be activated can therefore be compensated by an interactive guidance system emanating from the environment. This proposition does not however, resolve that of the relevance of the meaning created by the machine (sense-making). Such reflections lead us to integrate human interaction into this environment in order to construct relevant meaning in terms of participative artificial intelligence. This raises a number of questions with regards to setting up an enactive interaction. The article concludes by exploring a number of issues, thereby enabling us to associate current approaches with the principles of morphogenesis, guidance, the phenomenology of interactions and the use of minimal enactive interfaces in setting up experiments which will deal with the problem of artificial intelligence in a variety of enaction-based ways. (shrink)

In lieu of an abstract, here is a brief excerpt of the content:Introduction:Beyond Nature/Culture Dualism: Let's Try Co-Evolution Instead of "Control"Ronnie Hawkins (bio)In the original call for papers for this special issue, nature/culture dualism was characterized as a way of thinking that holds human culture and nonhuman nature to be radically different ontological spheres, hyperseparated and oppositional, or, as Val Plumwood maintains in her essay, an orientation that assumes "separate casts of characters in separate dramas." In the human sphere, individuals (...) are unique and their lives are precious (at least theoretically), with concerns understood "from the inside," in terms of experience, intention and agency. In the sphere of nature, on the other hand, nonhuman beings are seen "from the outside," at best as replaceable members of species or populations needed for ecosystem functioning and, at worst, as unagentive, thinglike objects open for unbridled human exploitation. With our vast information and communication systems now largely in place, however, our human "noösphere" is rapidly enlarging to place us firmly within the biosphere (which, of course, in the imagery of Venn diagrams, must make up the larger circle on the screen), illuminating "both casts in both dramas," or perhaps joining all actors on the stage in a many-act, multidimensional play, the denoument of which, whether or not the extant lifeforms on this [End Page 1] planet will continue to evolve, remains as yet unwritten. The five essays in this collection speak to these points, and together they develop an alternative vision to our present dualistic impasse, seeing multiple natural agencies engaged with humanity in ongoing co-evolution and, as Freya Mathews suggests, raising the hope for a synergistic restructuring of lifeways that may yet save us from anthropogenic catastrophe.In "The Culture of Nature As Seen Through Mississippian Geographies," Jeff Baldwin shows us the broad scope of interacting agents, human and nonhuman, biological and geological, in what he terms "the nature-culture of the Mississippi River," as highlighted by the recent devastation of human habitation along the Gulf Coast of the United States wrought by Hurricanes Katrina and Rita. By enacting a role in which we "believe [our]selves to rule over a mechanistic world," we humans have, over the last century or so, stemmed the natural flooding of the Mississippi, rerouting the sediments that maintained and extended the delta, funneling them into the sea and thereby bringing about the subsidence and erosion of hundreds of square miles of coastal land. Concomitantly, we have let agricultural runoff from the huge Mississippi drainage basin eject excess nutrients into the Gulf of Mexico, stimulating algal blooms and die-offs, depleting the water of oxygen so as to create a hypoxic "dead zone" that is now the size of Massachusetts, and (though Baldwin does not discuss this aspect of the problem) we have released enough petrochemical pollution in the area to have earned the lower reaches of the River the name "Cancer Alley" decades ago. A failure to grasp the import of these large anthropogenic effects is, sadly, evident in calls for rebuilding the New Orleans area according to the same mechanistic model that has already proven so inadequate. Baldwin observes that the earth changes wrought through human cultural innovation often occur so rapidly, or have their negative feedbacks technologically so displaced through time and space, that their eventual impacts on the larger system may initially go unappreciated. His vision of "the culture of nature," however, is ultimately an optimistic one, since his functional understanding of culture is that it ultimately works toward mutualism, promoting increasingly appropriate relationships among all interacting components, and he finds evidence of a growing effort to establish an "intentional co-evolution," a conscious alignment of human projects with the ongoing projects of a living nature that encompasses them. [End Page 2]If Baldwin's essay helps us see our human activities "from the outside"—not just "from within" prevailing human culture, where they seem taken-for-granted necessities given a certain form of social construction, but as they alternatively appear inside biospherical space, often as inappropriate, exploitative interferences and intrusions—Stacey Sowards' essay, "Identification Through Orangutans: Destabilizing the Nature/Culture Dualism," explores the potential for our connecting with nonhuman life "from the inside," relating... (shrink)

This article deals with the links between the enaction paradigm and artificial intelligence. Enaction is considered a metaphor for artificial intelligence, as a number of the notions which it deals with are deemed incompatible with the phenomenal field of the virtual. After explaining this stance, we shall review previous works regarding this issue in terms of artificial life and robotics. We shall focus on the lack of recognition of co-evolution at the heart of these approaches. We propose to explicitly integrate (...) the evolution of the environment into our approach in order to refine the ontogenesis of the artificial system, and to compare it with the enaction paradigm. The growing complexity of the ontogenetic mechanisms to be activated can therefore be compensated by an interactive guidance system emanating from the environment. This proposition does not however, resolve that of the relevance of the meaning created by the machine (sense-making). Such reflections lead us to integrate human interaction into this environment in order to construct relevant meaning in terms of participative artificial intelligence. This raises a number of questions with regards to setting up an enactive interaction. The article concludes by exploring a number of issues, thereby enabling us to associate current approaches with the principles of morphogenesis, guidance, the phenomenology of interactions and the use of minimal enactive interfaces in setting up experiments which will deal with the problem of artificial intelligence in a variety of enaction-based ways. (shrink)

Our civilization is changing and so is our science. Human beings in endeavors from education to economics need a framework for understanding which integrates the maelstrom of insights into a useable form. That, in essence, is what the study of Dynamic Evolution provides. Dynamic Evolution (also called Cosmic or General Evolution) is a synthesis of insights, ancient and cutting edge, which radically revamps our understanding of how organizations arise and how change takes place as a result of intertwined forces in (...) a co?evolving whole. What has become clear in recent years is that the two key elements in this evolutionary march are energy flow and interdependent dynamics. New understandings of how these two key features work have mushroomed in the last 30 years. Popularized under such names as chaos, complexity, self?organization theory, Gaia and the new biology, these new insights provide an increasingly clear new understanding of the world and an increasingly coherent path through the confusion of our times. This article provides a brief overview of how rules of energy?driven organization can change our picture of what we must do to build a resilient, sustainable civilization. (shrink)

Much has been written about the self, yet its evolution and functioning are matters of controversy in evolutionary psychology. The article argues that it is an evolved capacity, essential for co-evolutionary processes, including cultural development, to occur. A model of self-regulation is offered to explain its adaptive functioning, elaborating William James’ I-me distinction, and drawing upon contemporary analyses in social psychology and neuroscience. The model is used to illustrate how adaptive behavior is facilitated by the exercise of self-control, to defer (...) and re-order goals, revise perceptions of the world, modify conceptions of the self, and alter repertoires of learned action sequences, heuristics, and habits. It also identifies potential areas of dysfunction, mediated by self-deception and misperception. Through this lens one can see how leadership is a historically co-evolving function of social systems, changing to meet altered circumstances. The recursive relationship involves interaction between changing leader–follower relationships, within which leaders’ self-regulation is a central process. Individual differences in leaders as agents are thus also critical. The article concludes by considering the need for insight in order to steer these co-evolving functions in directions that help us as a species to master the global challenges and threats we face in our times. (shrink)

The scientific study of living organisms is permeated by machine and design metaphors. Genes are thought of as the ‘‘blueprint’’ of an organism, organisms are ‘‘reverse engineered’’ to discover their func- tionality, and living cells are compared to biochemical factories, complete with assembly lines, transport systems, messenger circuits, etc. Although the notion of design is indispensable to think about adapta- tions, and engineering analogies have considerable heuristic value (e.g., optimality assumptions), we argue they are limited in several important respects. In (...) particular, the analogy with human-made machines falters when we move down to the level of molecular biology and genetics. Living organisms are far more messy and less transparent than human-made machines. Notoriously, evolution is an oppor- tunistic tinkerer, blindly stumbling on ‘‘designs’’ that no sensible engineer would come up with. Despite impressive technological innovation, the prospect of artificially designing new life forms from scratch has proven more difficult than the superficial analogy with ‘‘programming’’ the right ‘‘software’’ would sug- gest. The idea of applying straightforward engineering approaches to living systems and their genomes— isolating functional components, designing new parts from scratch, recombining and assembling them into novel life forms—pushes the analogy with human artifacts beyond its limits. In the absence of a one-to-one correspondence between genotype and phenotype, there is no straightforward way to imple- ment novel biological functions and design new life forms. Both the developmental complexity of gene expression and the multifarious interactions of genes and environments are serious obstacles for ‘‘engi- neering’’ a particular phenotype. The problem of reverse-engineering a desired phenotype to its genetic ‘‘instructions’’ is probably intractable for any but the most simple phenotypes. Recent developments in the field of bio-engineering and synthetic biology reflect these limitations. Instead of genetically engi- neering a desired trait from scratch, as the machine/engineering metaphor promises, researchers are making greater strides by co-opting natural selection to ‘‘search’’ for a suitable genotype, or by borrowing and recombining genetic material from extant life forms. (shrink)

The scientific study of living organisms is permeated by machine and design metaphors. Genes are thought of as the ‘‘blueprint’’ of an organism, organisms are ‘‘reverse engineered’’ to discover their functionality, and living cells are compared to biochemical factories, complete with assembly lines, transport systems, messenger circuits, etc. Although the notion of design is indispensable to think about adaptations, and engineering analogies have considerable heuristic value (e.g., optimality assumptions), we argue they are limited in several important respects. In particular, the (...) analogy with human-made machines falters when we move down to the level of molecular biology and genetics. Living organisms are far more messy and less transparent than human-made machines. Notoriously, evolution is an opportunistic tinkerer, blindly stumbling on ‘‘designs’’ that no sensible engineer would come up with. Despite impressive technological innovation, the prospect of artificially designing new life forms from scratch has proven more difficult than the superficial analogy with ‘‘programming’’ the right ‘‘software’’ would suggest. The idea of applying straightforward engineering approaches to living systems and their genomes— isolating functional components, designing new parts from scratch, recombining and assembling them into novel life forms—pushes the analogy with human artifacts beyond its limits. In the absence of a one-to-one correspondence between genotype and phenotype, there is no straightforward way to implement novel biological functions and design new life forms. Both the developmental complexity of gene expression and the multifarious interactions of genes and environments are serious obstacles for ‘‘engineering’’ a particular phenotype. The problem of reverse-engineering a desired phenotype to its genetic ‘‘instructions’’ is probably intractable for any but the most simple phenotypes. Recent developments in the field of bio-engineering and synthetic biology reflect these limitations. Instead of genetically engineering a desired trait from scratch, as the machine/engineering metaphor promises, researchers are making greater strides by co-opting natural selection to ‘‘search’’ for a suitable genotype, or by borrowing and recombining genetic material from extant life forms. (shrink)

An overview of the following three related papers in this issue presents the Emergence of Highly Complex Systems such as living organisms, man, society and the human mind from the viewpoint of the current Ontological Theory of Levels. The ontology of spacetime structures in the Universe is discussed beginning with the quantum level; then, the striking emergence of the higher levels of reality is examined from a categorical—relational and logical viewpoint. The ontological problems and methodology aspects discussed in the (...) first two papers are followed by a rigorous paper based on Category Theory, Algebraic Topology and Logic that provides a conceptual and mathematical basis for a Categorical Ontology Theory of Levels. The essential links and relationships between the following three papers of this issue are pointed out, and further possible developments are being considered. (shrink)

Darwinism is defined here as an evolving research tradition based upon the concepts of natural selection acting upon heritable variation articulated via background assumptions about systems dynamics. Darwin’s theory of evolution was developed within a context of the background assumptions of Newtonian systems dynamics. The Modern Evolutionary Synthesis, or neo-Darwinism, successfully joined Darwinian selection and Mendelian genetics by developing population genetics informed by background assumptions of Boltzmannian systems dynamics. Currently the Darwinian Research Tradition is changing as it incorporates new information (...) and ideas from molecular biology, paleontology, developmental biology, and systems ecology. This putative expanded and extended synthesis is most perspicuously deployed using background assumptions from complex systems dynamics. Such attempts seek to not only broaden the range of phenomena encompassed by the Darwinian Research Tradition, such as neutral molecular evolution, punctuated equilibrium, as well as developmental biology, and systems ecology more generally, but to also address issues of the emergence of evolutionary novelties as well as of life itself. (shrink)

Any living system possesses internal embedded description and exists as a superposition of different potential realisations, which are reduced in interaction with the environment. This reduction cannot be recursively deduced from the state in time present, it includes unpredictable choice and needs to be modelled also from the state in time future. Such non-recursive establishment of emerging configuration, after its memorisation via formation of reflective loop (sign-creating activity), becomes the inherited recursive action. It leads to increase of complexity of the (...) embedded description, which constitutes the rules of generative grammar defining possible directions of open evolutionary process. The states in time future can be estimated from the point of their perfection, which represents the final cause in the Aristotelian sense and may possess a selective advantage. The limits of unfolding of the reflective process, such as the golden ratio and the golden wurf are considered as the canons of perfection established in the evolutionary process. (shrink)

Any living system possesses internal embedded description and exists as a superposition of different potential realisations, which are reduced in interaction with the environment. This reduction cannot be recursively deduced from the state in time present, it includes unpredictable choice and needs to be modelled also from the state in time future. Such non-recursive establishment of emerging configuration, after its memorisation via formation of reflective loop (sign-creating activity), becomes the inherited recursive action. It leads to increase of complexity of the (...) embedded description, which constitutes the rules of generative grammar defining possible directions of open evolutionary process. The states in time future can be estimated from the point of their perfection, which represents the final cause in the Aristotelian sense and may possess a selective advantage. The limits of unfolding of the reflective process, such as the golden ratio and the golden wurf are considered as the canons of perfection established in the evolutionary process. (shrink)

Abstract.Growing interest in the origin of life, the physical foundations of biological theory, and the evolution of animal social systems has led to increasing efforts to understand the processes by which elements or living systems at one level of organizational complexity combine to form stable systems of higher order. J. Bronowski saw the need to extend or reformulate evolutionary theory to deal with the hierarchy problem and to account for the evolution of systems of “stratified stability.” The hierarchy problem has (...) become a matter of great interest also in nonequilibrium thermodynamic theory.An effort is made here to develop an abstract, phenomenological model, based on the laws of thermodynamics, to account for the origin and hierarchical evolution of living systems. It is argued that the principle of minimum entropy production, developed by I. Prigogine, applies generally to all thermodynamic systems and processes and is implicit in an extended and more complete formulation of the second law of thermodynamics. From this are derived a thermodynamic criterion and a principle of thermodynamic selection governing the formation of stable systems of “elements” of various levels of organization. Thermodynamic selection gives rise to the creation of “elements” having increasingly “open” characteristic structures which may combine spontaneously to form “social” or crystalline systems capable of growing and reproducing themselves through processes of fissioning or budding. Such simple, self‐reproducing systems are capable of evolving by natural selection, which is seen to be a special case of the more general process of thermodynamic selection. The principle of natural selection, thus formulated, has the character of a fundamental physical law. Self‐reproducing systems with suitably open hereditary programs may combine to form stable social systems, which may grow and reproduce as a unit. In this way self‐reproducing systems of increasing hierarchical order, size, and organizational complexity may evolve through processes of thermodynamic (natural) selection. Some implications of this open‐ended model and opportunities for testing its empirical and theoretical utility are explored. (shrink)

This article accomplishes two goals. First, the paper clarifies Edmund Husserl’s investigation of the historical inception of the number system from his early works, Philosophy of Arithmetic and, “On the Logic of Signs (Semiotic)”. The article explores Husserl’s analysis of five historical developmental stages, which culminated in our ancestor’s ability to employ and enumerate with number signs. Second, the article reveals how Husserl’s conclusions about the history of the number system from his early works opens up a (...) fusion point with his investigations from his mature texts, The Crisis of the European Sciences and “The Origin of Geometry”. On the one hand, the essay shows that Husserl’s methodology was similar, as he sought in both his early and late writings to uncover the essence of the history of the formal sciences and was not executing mere intellectual history. On the other hand, the article discloses that Husserl’s insights from both time periods are strikingly analogous. Already in his early texts, Husserl saw that the sciences emerged from pre-theoretical experiences of the world and that the sciences are the result of a historical process, which involves the psychic activities of past individuals and the maintaining of discoveries over time by intersubjective communities. I conclude by showing how, in light of the analysis of this paper, we can rethink the evolution of Husserl’s philosophy. (shrink)