Rhapsodic Evolution: Essay on Exaptation and Evolutionary Pluralism

Since formulating the theory of punctuated equilibria in 1972, a group of prominent evolutionary biologists, geneticists, and paleontologists have contributed towards a significant reinterpretation of the neo-Darwinian image of evolution that had consolidated during the second half of the twentieth century. We believe a research program, which we might define as "evolutionary pluralism" or "post-Darwinism," has been outlined, one that is centered on the discovery of the complexity and multiplicity of elements that work together to produce changes in our evolutionary systems. We are talking about a three-dimensional multiplicity: a multiplicity of rhythms in evolution (i.e., the theory of punctuated equilibria); a multiplicity of evolutionary units and levels (i.e., the hierarchical theory of evolution); and a multiplicity of factors and causes in evolution (i.e., the concept of exaptation). Although the reductionistic and deterministic view of natural history interprets the intelligence of evolution as a panoptic and executory rationality, evolutionary pluralism, going back to the original flexibility of the Darwinian opus, sees in the intelligence of evolution an ingenious m tis, an imperfect but very creative, craftsmanlike cleverness. The new metaphors of change introduced by evolutionary pluralism and the consequent criticism of the adaptational paradigm offer some very interesting spin-offs for the study of evolutionary systems in widely differing fields, from theoretical economics to the cognitive sciences. I propose a particular hypothesis concerning the possibility and usefulness of expanding the concept of exaptation into a general theory of developmental processes, both in biology as well as in the cognitive sciences.     

Developmental dynamics: toward a biologically plausible evolutionary psychology

There has been a conceptual revolution in the biological sciences over the past several decades. Evidence from genetics, embryology, and developmental biology has converged to offer a more epigenetic, contingent, and dynamic view of how organisms develop. Despite these advances, arguments for the heuristic value of a gene-centered, predeterministic approach to the study of human behavior and development have become increasingly evident in the psychological sciences during this time. In this article, the authors review recent advances in genetics, embryology, and developmental biology that have transformed contemporary developmental and evolutionary theory and explore how these advances challenge gene-centered explanations of human behavior that ignore the complex, highly coordinated system of regulatory dynamics involved in development and evolution.     

Evolving Development: An Evolutionary Perspective on Development for an Interconnected World

The notion of development has been permeated by concepts and methods from positivistic science. As a result, many development initiatives are reductionistic, myopic, and with little or impact on the improvement of the quality of life and the sustainability of communities and societies. This article marks the beginning of a transdisciplinary inquiry among the authors, motivated by direct interest in the issue of development, per se, and in particular, Mexico's development. Our inquiry departs from and weaves together our various areas of expertise and experience, including: systems theory, general evolution theory, economic development, technology transfer, social innovation, sustainable development, environmental behavior, social systems design, and education. The article reviews the concept of development from an evolutionary and systemic perspective. It outlines the foundations of evolutionary development in terms of theory, philosophy, and methodology and provides a conceptual framework for future research aimed at the articulation of a practical model for evolutionary development.     

Evolution and medicine: the long reach of "Dr. Darwin"

In this review we consider the new science of Darwinian medicine. While it has often been said that evolutionary theory is the glue that holds the disparate branches of biological inquiry together and gives them direction and purpose, the links to biomedical inquiry have only recently been articulated in a coherent manner. Our aim in this review is to make clear first of all, how evolutionary theory is relevant to medicine; and secondly, how the biomedical sciences have enriched our understanding of evolutionary processes. We will conclude our review with some observations of the philosophical significance of this interplay between evolutionary theory and the biomedical sciences.     

On the origins of dynamical awareness

An inquiry into the origins of dynamical awareness is conducted. Particular attention is given to a theory that postulates that impressions of dynamical quantities are derived from and structured by lawful physical relations. It is shown that impressions of dynamical quantities are not generally correlated with the values that these quantities take in the equations of motion but rather are highly correlated with simple ratios of kinematic quantities or with specific kinematic features that do not specify the underlying dynamics. It is argued that kinematic information, to the extent that it is used, is used heuristically, and its availability for dynamical analysis is constrained by general principles of organization. A formal analysis of the physical organization implicit in the specification of dynamical invariants is given and compared with types of perceptual organization that are observed.     

Self-organizing systems and infant motor development

A dynamical systems approach is used to characterize early motor development. Contemporary theories of motor performance emphasize the self-organizing and autonomous properties of muscle synergies as an example of the dynamical behavior of complex, nonlinear systems. The organization of leg movements in infants is consistent with the dynamical approach. Using this perspective, we view skill development as a multidimensional, emergent phenomenon. The developmental principles derived from motor behavior may apply to other domains.     

The Evolution of Business: Learning,Innovation, and Sustainability in the Twenty-First Century

This article-as part of a broader evolutionary inquiry toward human fulfillment, societal wellbeing, and environmental sustainability-explores new frontiers for business. In a rapidly changing global environment, corporations can become evolutionary change agents for the creation of a sustainable global civilization by fostering financial, social, and environmental results. The contemporary metaphors used to describe the business world can be limited in times when an emergent paradigm calls for new visions and actions. An evolutionary understanding, grounded in evolutionary systems theory, can open possibilities for leadership and innovation toward sustainability. Complex systems, such as organizations, need to learn to learn in harmony with the dynamics of their milieu in order to co-evolve and create value. The paper concludes with a reflection on the implications of the evolutionary paradigm for business education.     

A THERMODYNAMIC THEORY OF THE ORIGIN AND HIERARCHICAL EVOLUTION OF LIVING SYSTEMS

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.     

Evolutionary Psychology, Cognitive Science, and Dynamical Systems: Building an Integrative Paradigm

Cognitive science, evolutionary psychology, and dynamical systems theory have all been proposed as frameworks for linking the diverse subdisciplines of psychology with one another, and with other scientific disciplines. Traditional cognitive science focused on content-free general processing and deemphasized motivation. An evolutionary perspective emphasizes the centrality of motivational systems and the specificity of mechanisms designed to solve particular recurrent problems. The evolutionary perspective provides a set of broad general principles linking diverse behaviors in humans as well as other species. The dynamic approach seeks even broader principles, searching for emergent patterns in all complex systems, whether animate or inanimate. Natural selection is itself one such broad principle, as is the broader principle of self-organization, which helps explain dynamic equilibria found in groups of humans and in diverse species linked together within ecosystems. Proponents of the major contending interdisciplines will need to build more bridges if the dream of a unifying paradigm is to be realized. This review samples some of the reasons why evolutionary psychologists, dynamical systems theorists, and traditional cognitive scientists need one another.     

A biphasic relational approach to the evolution of human consciousness

Background/objectiveHuman consciousness is arguably unique, and its features are hard to explain. Continuous and discrete accounts of consciousness are commonly viewed as incompatible, but both have limitations. Continuous accounts cannot readily account for what appears to be unique about human consciousness; discrete accounts have a hard time explaining how human consciousness could have evolved. The present position paper shows how both continuous and discontinuously elements can be combined.MethodA biphasic model is constructed by unifying complex systems theory, the evolution of symbolic reasoning as a relational extension of human cooperation, and evolutionary science. The application of this approach to modern views of consciousness is then explored.ResultsOur analysis suggests that human consciousness may be viewed as a discontinuous event, that emerged from continuous foundations. This biphasic account contains processes that can be targeted clinically. For example, developmentally delayed children with problems in consciousness may be helped by targeting the processes the present account suggests are important at different levels of complexity.ConclusionsThis biphasic relational approach fits with the evolutionary record and with data on human cognitive development. It may be useful in guiding clinical intervention.     

Evolutionary psychology from a developmental systems perspective: comment on Lickliter and Honeycutt (2003)

Although agreeing with R. Lickliter and H. Honeycutt (2003) that evolutionary psychology lacks and should adopt a coherent developmental model to explain how evolved mechanisms become expressed in phenotypes, it is argued that adhering to the principles of developmental systems theory, despite enhancing evolutionary psychology, would not change appreciably its basic focus. The concepts of innateness and modularity, what is inherited and what evolves, as well as the possible role of developmental plasticity in the evolution of human cognition are discussed. It is proposed that evolutionary psychology can incorporate the developmental systems perspective into its theorizing, with the end result being a science that more closely reflects human nature.     

Self-organisation in dynamical systems: a limiting result

There is presently considerable interest in the phenomenon of “self-organisation” in dynamical systems. The rough idea of self-organisation is that a structure appears “by itself” in a dynamical system, with reasonably high probability, in a reasonably short time, with no help from a special initial state, or interaction with an external system. What is often missed, however, is that the standard evolutionary account of the origin of multi-cellular life fits this definition, so that higher living organisms are also products of self-organisation. Very few kinds of object can self-organise, and the question of what such objects are like is a suitable mathematical problem. Extending the familiar notion of algorithmic complexity into the context of dynamical systems, we obtain a notion of “dynamical complexity”. A simple theorem then shows that only objects of very low dynamical complexity can self organise, so that living organisms must be of low dynamical complexity. On the other hand, symmetry considerations suggest that living organisms are highly complex, relative to the dynamical laws, due to their large size and high degree of irregularity. In particular, it is shown that since dynamical laws operate locally, and do not vary across space and time, they cannot produce any specific large and irregular structure with high probability in a short time. These arguments suggest that standard evolutionary theories of the origin of higher organisms are incomplete.     

Individuals and populations: How biology's theory and data have interfered with the integration of development and evolution

Research programs in quantitative behavior genetics and evolutionary psychology have contributed to the widespread belief that some psychological characteristics can be “inherited” via genetic mechanisms. In fact, molecular and developmental biologists have concluded that while genetic factors contribute to the development of all of our traits, non-genetic factors always do too, and in ways that make them no less important than genetic factors. This insight demands a reworking of the Modern Evolutionary Synthesis, a theory that defined evolution as a process involving changes in the frequencies of genes in populations, and that envisioned no role for experiential factors now known to play essential roles in adaptive trait development. Furthermore, since evolution has been taken to be strictly a population-level phenomenon while development affects individuals, the two have been understood to require different levels of analysis; this understanding has given rise to incompatible research programs. This state of affairs is untenable because development and evolution mutually influence one another in fundamental ways, several of which are detailed in this article. The balance of this paper considers the conceptual problem that has arisen because understandings generated by developmental scientists cannot be enhanced by studies designed merely to account for variation across populations. Because the theoretical conceptions and methodological tools used to study development and evolution have produced non-corresponding sets of information about these closely related and mutually influential biological processes, these conceptions and tools are interfering with the establishment of a unified theory of biology that encompasses both phenomena.     

Archetypes Reconsidered as Emergent Outcomes of Cognitive Complexity and Evolved Motivational Systems

Advances in contemporary cognitive science suggest that our internal representational systems are powerfully shaped by interacting evolutionary, developmental, and neuro-computational processes. Although Jung’s archetypes of the collective unconscious are largely dismissed by modern psychological science, something very much like them emerges from the intersection of these perspectives. Functional analysis suggests that a variety of conserved systems—basic biological ones, like self-protection and mating, as well as more complex social ones, like cheater-detection—need to make use of more general representational systems (like face perception) to simulate and predict adaptive responses to recurring environmental problems. Furthermore, analogous to the capacity to develop language, these systems depend on specific input at critical developmental stages. Archetypes reflect the interaction of domain-specific challenges and domain-general simulations. They are dynamic patterns of perception, memory, and action, resonating with ancient motivational and emotional systems. They shed light on how the symbolic emerges from the subsymbolic. Archetypes are thus the natural consequence of our fundamental social goals playing out in three nested dynamics: the online representation of reality by mental simulation systems, the history of personal experiences that build a particular instantiation of these systems, and the evolutionary dynamics that selected the web of cognitive and affective capacities that all normally developing humans share. This modern elaboration of the idea of archetypes fuses disparate conceptual perspectives, provokes methodological reorientations, generates novel hypotheses, and will likely open whole new lines of integrative inquiry.     

EXPLAINING EMERGENCE: TOWARDS AN ONTOLOGY OF LEVELS

The vitalism/reductionism debate in the life sciences shows that the idea of emergence as something principally unexplainable will often be falsified by the development of science. Nevertheless, the concept of emergence keeps reappearing in various sciences, and cannot easily be dispensed with in an evolutionary world-view. We argue that what is needed is an ontological non reductionist theory of levels of reality which includes a concept of emergence, and which can support an evolutionary account of the origin of levels. Classical explication of emergence as “the creation of new properties” is discussed critically, and specific distinctions between various kinds of emergence is introduced for the purpose of developing an ontology of levels, framed in a materialistic and evolutionary perspective. A concept of the relation between levels as being inclusive is suggested, permitting the “local” existence of different ontologies. We identify, as a working hypothesis, four primary levels and explicate their nonhomomorphic interlevel relations. Explainability of emergence in relation to determinism and predictability is considered. Recent research in self-organizing non-linear dynamical systems represents a revival of the scientific study of emergence, and we argue that these recent developments can be seen as a step toward a final “devitalisation” of emergence.     

Reconciling symbolic and dynamic aspects of language: Toward a dynamic psycholinguistics

The present paper examines natural language as a dynamical system. The oft-expressed view of language as “a static system of symbols” is here seen as an element of a larger system that embraces the mutuality of symbols and dynamics. Following along the lines of the theoretical biologist H.H. Pattee, the relation between symbolic and dynamic aspects of language is expressed within a more general framework that deals with the role of information in biological systems. In this framework, symbols are seen as information-bearing entities that emerge under pressures of communicative needs and that serve as concrete constraints on development and communication. In an attempt to identify relevant dynamic aspects of such a system, one has to take into account events that happen on different time scales: evolutionary language change (i.e., a diachronic aspect), processes of communication (language use) and language acquisition. Acknowledging the role of dynamic processes in shaping and sustaining the structures of natural language calls for a change in methodology. In particular, a purely synchronic analysis of a system of symbols as “meaning-containing entities” is not sufficient to obtain answers to certain recurring problems in linguistics and the philosophy of language. A more encompassing research framework may be the one designed specifically for studying informationally based coupled dynamical systems (coordination dynamics) in which processes of self-organization take place over different time scales.     

Peirce’s Philosophy of Mathematical Education: Fostering Reasoning Abilities for Mathematical Inquiry

I articulate Charles S. Peirce’s philosophy of mathematical education as related to his conception of mathematics, the nature of its method of inquiry, and especially, the reasoning abilities required for mathematical inquiry. The main thesis is that Peirce’s philosophy of mathematical education primarily aims at fostering the development of the students’ semeiotic abilities of imagination, concentration, and generalization required for conducting mathematical inquiry by way of experimentation upon diagrams. This involves an emphasis on the relation between theory and practice and between mathematics and other fields including the arts and sciences. For achieving its goals, the article is divided in three sections. First, I expound Peirce’s philosophical account of mathematical reasoning. Second, I illustrate this account by way of a geometrical example, placing special emphasis on its relation to mathematical education. Finally, I put forth some Peircean philosophical principles for mathematical education.     

Artificial life: organization, adaptation and complexity from the bottom up

Artificial life attempts to understand the essential general properties of living systems by synthesizing life-like behavior in software, hardware and biochemicals. As many of the essential abstract properties of living systems (e.g. autonomous adaptive and intelligent behavior) are also studied by cognitive science, artificial life and cognitive science have an essential overlap. This review highlights the state of the art in artificial life with respect to dynamical hierarchies, molecular self-organization, evolutionary robotics, the evolution of complexity and language, and other practical applications. It also speculates about future connections between artificial life and cognitive science.     

Group therapy and complexity theory

Complexity theory, also called dynamical self-organizing systems theory, is a new scientific way of viewing the natural world. It is being applied to a vast range of multiply determined systems, as well as to created systems including psychoanalysis, and in this article to analytically informed group therapy. Examples of prominent features of group therapy lend themselves to comparison with outstanding features of complexity systems, including nonlinear determinism, self-organization, coevolution, and disequilibrium conditions for change and growth. Examples are used throughout to illustrate inferred processes called cascading, multisubjectivity, and asynchronous change processes. Therapist role indications are in the direction of implementing the group's own processes of creating change, at close range in the sessions.     

Categorical Ontology of Complex Spacetime Structures: The Emergence of Life and Human Consciousness

A categorical ontology of space and time is presented for emergent biosystems, super-complex dynamics, evolution and human consciousness. Relational structures of organisms and the human mind are naturally represented in non-abelian categories and higher dimensional algebra. The ascent of man and other organisms through adaptation, evolution and social co-evolution is viewed in categorical terms as variable biogroupoid representations of evolving species. The unifying theme of local-to-global approaches to organismic development, evolution and human consciousness leads to novel patterns of relations that emerge in super- and ultra- complex systems in terms of colimits of biogroupoids, and more generally, as compositions of local procedures to be defined in terms of locally Lie groupoids. Solutions to such local-to-global problems in highly complex systems with ‘broken symmetry’ may be found with the help of generalized van Kampen theorems in algebraic topology such as the Higher Homotopy van Kampen theorem (HHvKT). Primordial organism structures are predicted from the simplest metabolic-repair systems extended to self-replication through autocatalytic reactions. The intrinsic dynamic ‘asymmetry’ of genetic networks in organismic development and evolution is investigated in terms of categories of many-valued, ?ukasiewicz–Moisil logic algebras and then compared with those obtained for (non-commutative) quantum logics. The claim is defended in this essay that human consciousness is unique and should be viewed as an ultra-complex, global process of processes. The emergence of consciousness and its existence seem dependent upon an extremely complex structural and functional unit with an asymmetric network topology and connectivities—the human brain—that developed through societal co-evolution, elaborate language/symbolic communication and ‘virtual’, higher dimensional, non-commutative processes involving separate space and time perceptions. Philosophical theories of the mind are approached from the theory of levels and ultra-complexity viewpoints which throw new light on previous representational hypotheses and proposed semantic models in cognitive science. Anticipatory systems and complex causality at the top levels of reality are also discussed in the context of the ontological theory of levels with its complex/entangled/intertwined ramifications in psychology, sociology and ecology. The presence of strange attractors in modern society dynamics gives rise to very serious concerns for the future of mankind and the continued persistence of a multi-stable biosphere. A paradigm shift towards non-commutative, or non-Abelian, theories of highly complex dynamics is suggested to unfold now in physics, mathematics, life and cognitive sciences, thus leading to the realizations of higher dimensional algebras in neurosciences and psychology, as well as in human genomics, bioinformatics and interactomics.