The idea of dignity seems indissociable from that of humanity, whether in its universal dimension of ‘human dignity’, or in the individual ‘dignity of the person’. This paper provides an outlook on the ethics governing the sciences and technology, in particular the biological sciences and biotechnology, and recalls the notion of ‘glory’, both human and divine, as it infuses a great part of the Middle Ages and the Renaissance cultures, just before the scientific revolution in Europe.

In the first decades of the twentieth century, the process of photosynthesis was still a mystery: Plant scientists were able to measure what entered and left a plant, but little was known about the intermediate biochemical and biophysical processes that took place. This state of affairs started to change between the two world wars, when a number of young scientists in Europe and the United States, all of whom identified with the methods and goals of physicochemical biology, selected photosynthesis (...) as a topic of research. The protagonists had much in common: They had studied physics and chemistry (although not necessarily plant physiology) to a high level; they used physicochemical methods to study the basic processes of life; they believed these processes were the same, or very similar, in all life forms; and they were affiliated with institutions that fostered this kind of study. This set of cognitive, methodological, and material resources enabled these protagonists to transfer their knowledge of the concepts and techniques from microbiology and human biochemistry, for example, to the study of plant metabolism. These transfers of knowledge had a great influence on the way in which the biochemistry and biophysics of photosynthesis would be studied over the following decades. Through the use of four historical cases, this paper analyzes these knowledge transfers, as well as the investigative pathways that made them possible. (shrink)

Contemporary psychiatry faces serious challenges because it has failed to incorporate accumulated knowledge from basic neuroscience, neurophilosophy, and brain–mind relation studies. As a consequence, it has limited explanatory power, and effective treatment options are hard to come by. A new conceptual framework for understanding mental health based on underlying neurobiological spatial-temporal mechanisms of mental disorders (already gained by the experimental studies) is beginning to emerge.

Synthetic biologists aim to generate biological organisms according to rational design principles. Their work may have many beneficial applications, but it also raises potentially serious ethical concerns. In this article, we consider what attention the discipline demands from bioethicists. We argue that the most important issue for ethicists to examine is the risk that knowledge from synthetic biology will be misused, for example, in biological terrorism or warfare. To adequately address this concern, bioethics will need to broaden its (...) scope, contemplating not just the means by which scientific knowledge is produced, but also what kinds of knowledge should be sought and disseminated. (shrink)

Probably the most distinctive feature of synthetic biology is its being “synthetic” in some sense or another. For some, synthesis plays a unique role in the production of knowledge that is most distinct from that played by analysis: it is claimed to deliver knowledge that would otherwise not be attained. In this contribution, my aim is to explore how synthetic biology delivers knowledge via synthesis, and to assess the extent to which this knowledge is (...) distinctly synthetic. On the basis of distinctions between knowledge-how and knowledge-why, and between syntheses that succeed and syntheses that fail, I argue that the contribution of synthesis to knowledge is best understood when syntheses are construed as experimental interventions that aim at probing causal relationships between properties of the entities that are combined through these syntheses and properties of their target products. The distinctiveness of synthetic biology in its quest for knowledge through synthesis stems from its ability to sample at will a space of empirical possibilities that is not only huge but also that has been so scarcely sampled by nature. (shrink)

Traditionally, philosophers have argued that epistemology is a normative discipline and therefore occupied with an a priori analysis of the necessary and sufficient conditions that a belief must fulfill to be acceptable as knowledge. But such an approach makes sense only if human knowledge has some normative features, which conceptual analysis is able to disclose. As it turns out, philosophers have not been able to find such features unless they are very selective in their choice of examples of (...) knowledge. Much of what we intuitively think functions as knowledge, both in human and non-human animals, does not share these normative features. The purpose of this book is to demonstrate that natural selection has adapted human sense impressions to deliver reliable information without meeting the traditional commitments for having knowledge. In connection with memory, sensory and bodily information provides an animal with experiential knowledge. Experiential knowledge helps an animal to navigate its environment. Moreover, experiential knowledge has different functions depending on whether the deliverance of information stems from the organism’s external or internal senses. (shrink)

This chapter outlines three programs that aim to use biological insights in support of philosophical positions in ethics: Aristotelian approaches found, for example, in Thomas Hurka and Philippa Foot; Humean approaches found in Simon Blackburn and Allan Gibbard; and biologically grounded approaches found in of Elliott Sober and Brian Skyrms. The first two approaches begin with a philosophical view, and seek support for it in biology. The third approach begins with biology, and uses it to illuminate the status (...) of morality. This chapter pursues a version of the third program. A major accomplishment of evolutionary biology has been the explanation of biological altruism, which opens the door to a similar explanation of psychological altruism, or “fellow-feeling.” The chapter conjectures that humans have evolved a capacity for normative governance by socially shared rules. A process of cultural evolution led to the social rules with which we are familiar. This genealogical story poses a challenge, for the idea of moral truth plays no role in it. The story therefore lends support to non-cognitivism or anti-realist expressivism. The chapter concludes by exploring the implications of the genealogical story for moral knowledge, moral objectivity, and the idea of moral authority. (shrink)

This set of original essays by some of the best names in philosophy of science explores a range of diverse issues in the intersection of biology and epistemology. It asks whether the study of life requires a special biological approach to knowledge and concludes that it does not. The studies, taken together, help to develop and deepen our understanding of how biology works and what counts as warranted knowledge and as legitimate approaches to the study of (...) life. The first section deals with the nature of evidence and evolutionary theory as it came to dominate nineteenth-century philosophy of science; the second and third parts deal with the impact of laboratory and experimental research. This is an impressive team of authors, bringing together some of the most distinguished philosophers of science today. The volume will interest professionals and graduate students in biology and the history and philosophy of science. (shrink)

The discrepancy between syntax and semantics is a painstaking issue that hinders a better comprehension of the underlying neuronal processes in the human brain. In order to tackle the issue, we at first describe a striking correlation between Wittgenstein's Tractatus, that assesses the syntactic relationships between language and world, and Perlovsky's joint language-cognitive computational model, that assesses the semantic relationships between emotions and “knowledge instinct”. Once established a correlation between a purely logical approach to the language and computable psychological (...) activities, we aim to find the neural correlates of syntax and semantics in the human brain. Starting from topological arguments, we suggest that the semantic properties of a proposition are processed in higher brain's functional dimensions than the syntactic ones. In a fully reversible process, the syntactic elements embedded in Broca's area project into multiple scattered semantic cortical zones. The presence of higher functional dimensions gives rise to the increase in informational content that takes place in semantic expressions. Therefore, diverse features of human language and cognitive world can be assessed in terms of both the logic armor described by the Tractatus, and the neurocomputational techniques at hand. One of our motivations is to build a neuro-computational framework able to provide a feasible explanation for brain's semantic processing, in preparation for novel computers with nodes built into higher dimensions. (shrink)

As a sort of intellectual provocation and as a lateral thinking strategy for creativity, this chapter seeks to determine what the study of the dynamics of biodiversity can offer linguists. In recent years, the analogical equation "language = biological species" has become more widespread as a metaphorical source for conceptual renovation, and, at the same time, as a justification for the defense of language diversity. Language diversity would be protected in a way similar to the mobilization that has taken place (...) to protect endangered species. Nevertheless, one must be careful when uncritically transferring conceptualizations and theoretical frameworks from one field to another, since obviously, these two phenomena are quite different in the real world. The dialogue with bioecologists starts by asking about the formation of diversity, i.e., about specialization. Here, one can observe the similarity between the processes of linguistic and genetic fragmentation, in the sense that both phenomena have a (socio)geographical basis for dispersion and consequently, for the loss of their original compact nature and their intercommunication. The self-organizing and creative properties of human beings favor the development of specific varieties for each subset, varieties that continue to evolve constantly, through the unceasing "languaging" of humanity. Regarding the continuity of species or languages, one can also observe the decisive role of intragroup relations. The staying power of linguistic varieties will increase in direct proportion to the intensity of the relationship among the components of the subset. On the other hand, if exotic elements are introduced, especially if these elements are aggressive in nature, the alteration of the ecological niche may turn out to be fatal for the continuity of the previously existing forms. This suggests to us the need to make an in-depth study of what the minimal contextual conditions would be so that a set linguistic group could be assured a sustainable continuity within a framework of linguistic contact. What type of minimum (socio-)ecological niche would a language have to have if we wished to ensure its habitual reproduction? A proposal is made here to explore the ideas of "exclusive functions" and "non-hierarchical functional distribution" for codes in situations where there is high contact and a danger of disuse. As regards change, this phenomenon is seen as an inherent element in the tendency of life to create new developments, which may or not be accompanied by an adaptation to changing environmental conditions. It is pointed out that, similar to what happens in biology, much of linguistic innovation stems from a systemically reorganized mixture of solutions from different codes. An important research question would be, however, to determine why some of these innovations disappear and others survive and extend throughout the community. The big question mark, as Mufwene points out, is, then how to manage to understand how "the evolution of language proceeds by naturally selecting from among the competing alternatives available through the idiolects of individual speakers". Extinction, whether it be of languages or of species, is caused in most cases "by a combination of demographic processes and environmental changes", as Brown points out. Thus, the environment plays a fundamental role in the direction of evolution, since the "the survival of the fittest is, in actuality, the survival of those who fit into the context (Allen and Hoekstra)". This allows us to see the great degree of importance of political-economic contexts in the case of languages. In the same way, migratory movements are also one of the major variables determining the extinction of biodiversity and language diversity. Species and habitat form the basic unit of existence, and this is the major point of departure for understanding the problem of the preservation and recovery of species or languages. Given the increase in the degree of linguistic contact, the continuity of language diversity depends on determining, as exactly as possible, as Prigogine, the physicist, would say, what precise conditions of imbalance may prove to be stable. The great challenge is not so much avoiding contact but managing it. And "restorative ecology" can also be of help to us here. Being able to reach sustainable solutions for language diversity implies a profound knowledge of the dynamics for determining the ways in which language is used in contact situations. The general conclusion is that linguistics is still terminologically and conceptually ill prepared to deal with the dynamic character of human languages. The world and our objects must be conceived of as elements in a state of flux, as changing systems in an unstable equilibrium. With respect to language policy, it would be necessary to make an effort to manage to establish some general principles regarding the linguistic organization of the human species that would make it possible for local linguistic diversity and communication on a planetary scale, which must necessarily take place, to be compatible with each other. To succeed, it will be necessary to continue promoting an autonomous socio-ecological perspective devoted to the comprehension of language phenomena. Such a perspective would be based on a paradigm of complexity, and would, at the same time, place human beings at the center of its theoretical underpinnings. (shrink)

An approach to the philosophy of biology in the 21st century requires going beyond its epistemological side, betting on pragmatic aspects, in the sense of the social impact of the instrumentalization of biological developments. These advances have both beneficial and harmful consequences for humanity. Among the latter, it is its use for military conflicts, as a result of advances in biotechnology. The objective of this work is to address the role of biological knowledge in wars, analyzing some especially (...) relevant cases such as bioterrorism, but also other types of conflicts in which biology, broadly understood with its different branches, plays an important role. First, I will introduce the most important concepts in the relationship between biology and war, taking into account historical precedents in this area. Secondly, since biology enters in military conflicts, I will address the case of bioterrorism as one of the most pressing problems in that it is one of the forms that war is currently taking, as well as one of its derivatives, “agroterrorism”, which consists in causing the destruction of crops or the death of livestock that feeds the population. In this regard, I will examine other ways of resolving conflicts in which biological factors play an important role in establishing dominance between two or more nations or populations facing each other, paying special attention to agriculture and livestock. Regarding the possible theoretical models to analyze these conflicts, I will focus on the relationship between pure, applied science and technology, the methodological models of design sciences and ethical and moral reflection. (shrink)

An approach to the philosophy of biology in the 21st century requires going beyond its epistemological side, betting on pragmatic aspects, in the sense of the social impact of the instrumentalization of biological developments. These advances have both beneficial and harmful consequences for humanity. Among the latter, it is its use for military conflicts, as a result of advances in biotechnology. The objective of this work is to address the role of biological knowledge in wars, analyzing some especially (...) relevant cases such as bioterrorism, but also other types of conflicts in which biology, broadly understood with its different branches, plays an important role. First, I will introduce the most important concepts in the relationship between biology and war, taking into account historical precedents in this area. Secondly, since biology enters in military conflicts, I will address the case of bioterrorism as one of the most pressing problems in that it is one of the forms that war is currently taking, as well as one of its derivatives, “agroterrorism”, which consists in causing the destruction of crops or the death of livestock that feeds the population. In this regard, I will examine other ways of resolving conflicts in which biological factors play an important role in establishing dominance between two or more nations or populations facing each other, paying special attention to agriculture and livestock. Regarding the possible theoretical models to analyze these conflicts, I will focus on the relationship between pure, applied science and technology, the methodological models of design sciences and ethical and moral reflection. (shrink)

Synthetic biology is a field of research that concentrates on the design, construction, and modification of new biomolecular parts and metabolic pathways using engineering techniques and computational models. By employing knowledge of operational pathways from engineering and mathematics such as circuits, oscillators, and digital logic gates, it uses these to understand, model, rewire, and reprogram biological networks and modules. Standard biological parts with known functions are catalogued in a number of registries (e.g. Massachusetts Institute of Technology Registry of (...) Standard Biological Parts). Biological parts can then be selected from the catalogue and assembled in a variety of combinations to construct a system or pathway in a microbe. Through the innovative re-engineering of biological circuits and the optimization of certain metabolic pathways, biological modules can be designed to reprogram organisms to produce products or behaviors. Synthetic biology is what is known as a “platform technology”. That is, it generates highly transferrable theoretical models, engineering principles, and know-how that can be applied to create potential products in a wide variety of industries. Proponents suggest that applications of synthetic biology may be able to provide scientific and engineered solutions to a multitude of worldwide problems from health to energy. Synthetic biology research has already been successful in constructing microbial products which promise to offer cheaper pharmaceuticals such as the antimalarial synthetic drug artemisinin, engineered microbes capable of cleaning up oil spills, and the engineering of biosensors that can detect the presence of high concentrations of arsenic in drinking water. One of the potential benefits of synthetic biology research is in its application to biofuel production. It is this application which is the focus of this entry. The term “biofuel” has referred generally to all liquid fuels that are sourced from plant or plant byproducts and are used for energy necessary for transportation vehicles (Thompson 2012). Biofuels that are produced using synthetic biological techniques re-engineer microbes into biofuel factories are a subset of these. (shrink)

While seeking novel food sources to feed the increasing population of the globe, several alternatives have been discussed, including algae, fungi or in vitro meat. The increasingly propagated usage of farmed insects for human nutrition raises issues regarding food safety, consumer information and animal protection. In line with law, insects like any other animals must not be reared or manipulated in a way that inflicts unnecessary pain, distress or harm on them. Currently, there is a great need for research in (...) the area of insect welfare, especially regarding species-specific needs, health, farming systems and humane methods of killing. Recent results from neurophysiological, neuroanatomical and behavioral sciences prompt caution when denying consciousness and therefore the likelihood of presence of pain and suffering or something closely related to it to insects. From an animal protection point of view, these issues should be satisfyingly solved before propagating and establishing intensive husbandry systems for insects as a new type of mini-livestock factory farming. (shrink)

Currently, under the law of intellectual property, IP owners may exclude from use or production substances and processes that we would ordinarily consider to be products of nature. This has helped companies monopolize disease genes, and thus diagnostic testing for those diseases, and “biosimilar” products, pharmaceutical materials that mimic biological materials. Extending the current paradigm to the world of synthetic biology and nanotechnology will create further injustices in the delivery of health care to billions of people around the world. (...) As such, I advocate heading this trend off at the pass. Scientists ought to conduct basic research into the building blocks of biology and matter in the open, publishing their results, releasing knowledge into the public domain upstream so that beneficial innovation can be produced without fear of downstream litigation, and so that what ought to remain in the public domain as a matter of right (products of nature) does not become unjustly monopolized. (shrink)

Evolutionary epistemologists aim to explain the evolution of cognitive capacities underlying human knowledge and also the processes that generate knowledge, for example in science. There can be no doubt that our cognitive capacities are due in part to our evolutionary heritage. But this is an uninformative thesis. All features of organism have indeed been shaped by evolution. A substantive evolutionary explanation of cognition would have to provide details about the evolutionary processes involved. Evolutionary epistemology has not provided any (...) details. Considering progress of theorizing in science, evolutionary epistemologists have proposed many different analogies between natural selection and selection in science. As yet, the analogies have not been fruitful. The entire program of evolutionary epistemology is programmatic. Evolutionary epistemologists have also moved beyond explanation to justification, the primary issue in traditional epistemology. It turns out that their program presupposes that we can justify knowledge claims in traditional ways. Evolutionary biology is not a proper tool for the justification of beliefs. (shrink)

This paper links two domains of recent interest in science and technology studies, complexity and ignorance, in the context of knowledge practices observed among synthetic biologists. Synthetic biologists are recruiting concepts and methods from computer science and electrical engineering in order to design and construct novel organisms in the lab. Their field has taken shape amidst revised assessments of life’s complexity in the aftermath of the Human Genome Project. While this complexity is commonly taken to be an immanent property (...) of biological systems, this article presents an epistemological view of complexity according to which complexity relates to a specific scientific theory or model and refers to that which exceeds the theory or model’s explanatory power. This epistemological view allows us to narrate a particular story about the changing relationship between biology and synthetic biology in the last decade and accounts for early knowledge practices in synthetic biology that “ignored” biology. This article further argues that while the failure of ignorance to produce clear-cut results for synthetic biologists has led practitioners back to biology, the entanglements between different pragmatic orientations and ways of knowing trouble the implications of this return for assessments of the complexity of biological systems. (shrink)

In presenting this paper for the Festschrift in honor of my long time friend, Charles Hartshorne, I should state at once that I am writing as a biologist, specifically a geneticist, interested in the philosophical implications of his subject, but with only a superficial knowledge of philosophy in general. My justification for writing on this topic is the belief that the philosophy of science is necessarily a joint venture since it is obvious that advances in science provide data on (...) the nature of existence which must be taken into account in philosophical consideration of this subject. This is most obvious in connection with the drastic revision of the basic concepts of physics since 1900, the impact of which on philosophy has recently been brilliantly developed by Čapek. There have also been great advances in biology. The resulting concepts do not strike at the very categories of thought and defy expression in language as do those of modern physics. Nevertheless they have a special importance from the facts that the only direct knowledge of mind that any one possesses is associated with a certain living organism, himself, and that in general, indications of the presence of mind are restricted to living organisms. The fact that while such indications are universally accepted in the case of other human beings but become progressively less convincing as we pass to animals closely similar to man, and from these to such forms as fishes, insects, clams, worms and protozoa, raises difficulties. Few see any indication of mind in plants. (shrink)

The assumption of domain specificity has been invaluable to the study of the emergence of biological thought in young children. Yet, domains of thought must be understood within a broader context that explains how those domains relate to the surrounding cultures, to different kinds of cognitive constraints, to framing effects, to abilities to evaluate knowledge and to the ways in which domain-specific knowledge in any individual mind is related to knowledge in other minds. All of these issues (...) must come together to have a full account of conceptual development in biology. (shrink)

This chapter contains sections titled: Introduction Biology and the Theory of Knowledge Biology and Metaphysics Soul, Life, and Reason Conclusion Bibliography.

Anthropological inquiry suggests that all societies classify animals and plants in similar ways. Paradoxically, in the same cultures that have seen large advances in biological science, citizenry's practical knowledge of nature has dramatically diminished. Here we describe historical, cross-cultural and developmental research on how people ordinarily conceptualize organic nature, concentrating on cognitive consequences associated with knowledge devolution. We show that results on psychological studies of categorization and reasoning from “standard populations” fail to generalize to humanity at large. Usual (...) populations have impoverished experience with nature, which yields misleading results about knowledge acquisition and the ontogenetic relationship between folkbiology and folkpsychology. We also show that groups living in the same habitat can manifest strikingly distinct behaviors, cognitions and social relations relative to it. This has novel implications for environmental decision making and management, including commons problems. (shrink)

Social scientists have not integrated relevant knowledge from the biological sciences into their explanations of human behavior. This failure is due to a longstanding antireductionistic bias against the natural sciences, which follows on a commitment to the view that social facts must be explained by social laws. This belief has led many social scientists into the error of reifying abstract analytical constructs into entities that possess powers of agency. It has also led to a false nature-culture dichotomy that effectively (...) undermines the place of biology in social scientific explanation. Following the principles of methodological individualism, we show how behavioral explanations supported by data and theory from the neurosciences can be used to correct the errors of reificationist thinking in the social sciences. We outline a mechanistic approach to the explanation of human behavior with the hope that the biological sciences will begin to find greater acceptance among social scientists. (shrink)

Gettier’s Paradox is considered a most critical problem for the presumably obvious philosophical view that knowledge is justified true belief. Such a view of knowledge, however, exposes the poverty of analytic philosophy. It wrongly assumes, for example, that knowledge must be conscious and explicit, and, to make matters worse, linguistic, as illustrated in Donald Davidson’s writings. To show why this philosophical view is wrong I will point to arguments by Ruth Barcan Marcus and, principally, Paul Churchland, as (...) well as to work by the neuroscientist Paul Reber on intuitive knowledge. We will see, then, that much of our knowledge is neither explicit nor conscious, let alone linguistic. I will suggest that an approach that pays attention to biology is more likely to succeed in developing a proper account of our cognitive abilities. Thus, Gettier’s paradox becomes a mere curiosity. (shrink)

A received criticism of information is that it is an instrumentalization of knowledge. This article questions the conditions for such a critique. Examining developmental systems theory, biology and social sciences, it argues that information is a situated event; that it is intrinsic to the development and structuring of mnemic organization at a number of levels; and that such developmental systems are epigenetically constituted. This concept of information leads to: a critique of the statistical-quantitative determination of information that is (...) put forward as its mathematical theorization; a review of characterizations of ‘information societies’; and comprehending instrumentalization as a variant of the event of information at the specific level of the constitution of the human understood as an anthropotechnical complex. (shrink)

Most of our current knowledge of olfactory associative learning in Drosophila comes from the behavioral and molecular analysis of mutants that fail to learn. The identities of the genes affected in these mutants implicate new signaling pathways as mediators of associative learning. The expression patterns of these genes provide insight into the neuroanatomical areas that underlie learning. In recent years, there have been great strides in understanding the molecular and neuroanatomical basis for olfaction in insects. It is now clear (...) that much of the association between the conditioned stimuli and the unconditioned stimuli in olfactory learning occurs within mushroom bodies — third order olfactory neurons within the central brain. In this review, we discuss the nature of the behavioral tasks, the molecules, and the neuronal circuits involved in olfactory learning in Drosophila. BioEssays 23:571–581, 2001. © 2001 John Wiley & Sons, Inc. (shrink)

In recent years, philosophers have come to realize that the relationship between science and values raises questions which are both important and not readily answered. It is true that the major figures in that tradition known as ‘logical empiricism’ appreciated that science always exceeds its empirical grasp and that it is necessary for scientists to be guided and constrained by so-called ‘epistemic values,’ these being values (in the words of one supporter) ‘presumed to promote the truth-like character of science, its (...) character as the most secure knowledge available to us of the world we seek to understand.’ However, these values — such things as internal and external consistency, simplicity, predictive accuracy and fertility, unificatory power (consilience) — were considered special. Inasmuch as they could not be reduced to basic principles of logic — and there were attempts to do this — they were still thought of, in some sense, as beyond the vagaries of human emotion. Their importance was not a function of the individual’s personal inclinations, nor of those of the group, whether this group be understood as a closely knit band of researchers or even up to a complete society. (shrink)

Synthetic biology presents a challenge to traditional accounts of biology: Whereas traditional biology emphasizes the evolvability, variability, and heterogeneity of living organisms, synthetic biology envisions a future of homogeneous, humanly engineered biological systems that may be combined in modular fashion. The present paper approaches this challenge from the perspective of the epistemology of technoscience. In particular, it is argued that synthetic-biological artifacts lend themselves to an analysis in terms of what has been called ‘thing knowledge’. (...) As such, they should neither be regarded as the simple outcome of applying theoretical knowledge and engineering principles to specific technological problems, nor should they be treated as mere sources of new evidence in the general pursuit of scientific understanding. Instead, synthetic-biological artifacts should be viewed as partly autonomous research objects which, qua their material-biological constitution, embody knowledge about the natural world—knowledge that, in turn, can be accessed via continuous experimental interrogation. (shrink)

As a system of knowledge, nursing has utilized a range of subjects and reconstituted them to reflect the thinking and practice of health care. Often drawn to a holistic model, nursing finds it difficult to resist the reductionist tendencies in biological and medical thinking. In this paper I will propose a relational approach to knowledge that is able to address this issue. The paper argues that biology is not characterized by one stable theory but is often a (...) contentious topic and employs philosophically diverse models in its scientific research. Biology need not be seen as a reductionist science, but reductionism is nonetheless an important current within biological thinking. These reductionist currents can undermine nursing knowledge in four main ways. Firstly, that the conclusions drawn from reductionism go far beyond their data based on an approach that prioritizes biological explanations and eliminates others. Secondly, that the methods employed by biologists are sometimes weak, and the limitations are insufficiently acknowledged. Thirdly, that the assumptions that drive the research agenda are problematic, and finally that uncritical application of these ideas can be potentially disastrous for nursing practice. These issues are explored through an examination of the problems reductionism poses for the issue of gender, mental health, and altruism. I then propose an approach based on critical realism that adopts an anti‐reductionist philosophy that utilizes the conceptual tools of emergence and a relational ontology. (shrink)

The Mongol in Our Midst F G Crookshank Originally published in 1925. "A brilliant piece of speculative induction" Saturday Review Combining anthropology, psychology, geography, science and medicine, this volume was a ground-breaking study in the area of race, ethnicity and eugenics, when first published and has to be read in the appropriate historical, social and scientific context of the early twentieth century. 120 pp, 24 b&w plates Prometheus or Biology and the Advancement of Man H S Jennings Originally published (...) in 1925 "This volume is one of the most remarkable that has yet appeared in this series." Times Literary Supplement "An exceedingly brilliant book." New Leader This volume provides a lucid summary of the striking advances of the early 20 th century in biological knowledge, genetics, and the theory of evolution. 88pp Metanthropos or the Body of the Future Ronald Campbell Macfie Originally published in 1928 "An exceptionally stimulating book…" Saturday Review "Should certainly be read by a large public." The Lancet Drawing on the history of evolution and geology, this volume examines the role of society on physical, emotional and psychological changes in the population of Western Europe during the early twentieth century, whilst attempting to predict genetic developments of the future. 88pp. Pygmalion or the Doctor of the Future R M Wilson Originally published in 1925 "No doctor worth his salt would venture to say that Dr.Wilson was wrong." Daily Herald "Dr Wilson has added a brilliant essay to this series." Times Literary Supplement The author foresees an evolution in the personality of the doctor, who will become less of a scientist, more of a humanist, and use every spiritual agency, as well as every practical measure, to restore the human body and soul to health. 66pp. The Conquest of Cancer H W S Wright Originally published in 1925 "Eminently suitable for general reading. The problem is fairly and lucidly presented." F G Crookshank Whilst affirming that the causes and treatment of cancer will never be solved by the efforts of the medical profession alone, this volume provides an accessible source of information on cancer and proposes routine examination for those people aged 40 and over as the best means of defence against cancer. 82pp. (shrink)

Synthetic biology is an increasingly high-profile area of research that can be understood as encompassing three broad approaches towards the synthesis of living systems: DNA-based device construction, genome-driven cell engineering and protocell creation. Each approach is characterized by different aims, methods and constructs, in addition to a range of positions on intellectual property and regulatory regimes. We identify subtle but important differences between the schools in relation to their treatments of genetic determinism, cellular context and complexity. These distinctions tie (...) into two broader issues that define synthetic biology: the relationships between biology and engineering, and between synthesis and analysis. These themes also illuminate synthetic biology's connections to genetic and other forms of biological engineering, as well as to systems biology. We suggest that all these knowledge-making distinctions in synthetic biology raise fundamental questions about the nature of biological investigation and its relationship to the construction of biological components and systems. (shrink)

It is widely assumed that language in some form or other originated by piggybacking on pre-existing learning mechanism not dedicated to language. Using evolutionary connectionist simulations, we explore the implications of such assumptions by determining the effect of constraints derived from an earlier evolved mechanism for sequential learning on the interaction between biological and linguistic adaptation across generations of language learners. Artificial neural networks were initially allowed to evolve “biologically” to improve their sequential learning abilities, after which language was introduced (...) into the population. We compared the relative contribution of biological and linguistic adaptation by allowing both networks and language to change over time. The simulation results support two main conclusions: First, over generations, a consistent head-ordering emerged due to linguistic adaptation. This is consistent with previous studies suggesting that some apparently arbitrary aspects of linguistic structure may arise from cognitive constraints on sequential learning. Second, when networks were selected to maintain a good level of performance on the sequential learning task, language learnability is significantly improved by linguistic adaptation but not by biological adaptation. Indeed, the pressure toward maintaining a high level of sequential learning performance prevented biological assimilation of linguistic-specific knowledge from occurring. (shrink)

Synthetic biology is an increasingly high‐profile area of research that can be understood as encompassing three broad approaches towards the synthesis of living systems: DNA‐based device construction, genome‐driven cell engineering and protocell creation. Each approach is characterized by different aims, methods and constructs, in addition to a range of positions on intellectual property and regulatory regimes. We identify subtle but important differences between the schools in relation to their treatments of genetic determinism, cellular context and complexity. These distinctions tie (...) into two broader issues that define synthetic biology: the relationships between biology and engineering, and between synthesis and analysis. These themes also illuminate synthetic biology's connections to genetic and other forms of biological engineering, as well as to systems biology. We suggest that all these knowledge‐making distinctions in synthetic biology raise fundamental questions about the nature of biological investigation and its relationship to the construction of biological components and systems. BioEssays 30:57–65, 2008. © 2007 Wiley Periodicals, Inc. (shrink)

RESUMEN Con el objetivo de fundamentar la importancia de la teoría biológica del conocimiento de Humberto Maturana, Francisco Varela y sus seguidores para comprender la articulación entre los fenómenos biológicos y sociales, se aplicaron los métodos del nivel teórico analítico-sintético, inductivo-deductivo, histórico-lógico y ascensión de lo abstracto a lo concreto, con la intención de sistematizar información proveniente de la bibliografía consultada y de la experiencia profesional del autor, con énfasis en la formación de masters y doctores en pedagogía. Desde esta (...) posición teórica, se explica la aparición de las formas básicas de la cognición en el operar de sistemas autopoiéticos y la su importancia que, en la evolución hacia formas más complejas como la conciencia reflexiva, tuvo la coordinación del comportamiento para un acoplamiento estructural conjunto al entorno. Se realizan valoraciones sobre el posicionamiento de esta teoría en el contexto de la filosofía, sociología, psicología y de las ciencias de la educación contemporáneas. ABSTRACT The importance of the biological theory of the knowledge, for understanding the existent articulation between the biological and social phenomena, are explained. Methods of the theoretic level to systematize information obtained from the bibliography and from the vocational experience of the author, with emphasis in doctors' and masters' formation in pedagogy were used. From this theoretic position, the appearing of the elemental forms of the cognition in the operation of the autopoietic systems and the importance of the coordination of the behaviour for a join structural connection with the environment, for the evolution toward more complexes forms like the reflexive conscience are explained. Some valuations about the positioning of this theory in the contemporary context of the philosophy, sociology, psychology and the sciences of the education are presented. (shrink)

This book constitutes a major contribution to our understanding of the mechanisms of knowledge construction and a rare attempt to bridge the gap between biological and connectionist models, on the one hand, and cognitive models on the other. The volume documents a revolution now occurring in the cognitive sciences and in the field of epistemic complexity, a revolution that permits the approach to the problem of knowledge construction from the standpoint of both theoretical models and simulation.The first chapter (...) of the book presents an up-to-date account of a number of recent trends in the field of self-organization theory. In particular, entropy, algorithmic complexity, self-referentiality and cellular automata are widely discussed. The second chapter focuses on some advances obtained, from a modelistic point of view, in biological computing. The alternative splicing and the interface between ruler and coder constitute the essential backbone of the chapter. This chapter also introduc .. (shrink)

It is widely assumed that language in some form or other originated by piggybacking on pre-existing learning mechanism not dedicated to language. Using evolutionary connectionist simulations, we explore the implications of such assumptions by determining the effect of constraints derived from an earlier evolved mechanism for sequential learning on the interaction between biological and linguistic adaptation across generations of language learners. Artificial neural networks were initially allowed to evolve “biologically” to improve their sequential learning abilities, after which language was introduced (...) into the population. We compared the relative contribution of biological and linguistic adaptation by allowing both networks and language to change over time. The simulation results support two main conclusions: First, over generations, a consistent head-ordering emerged due to linguistic adaptation. This is consistent with previous studies suggesting that some apparently arbitrary aspects of linguistic structure may arise from cognitive constraints on sequential learning. Second, when networks were selected to maintain a good level of performance on the sequential learning task, language learnability is significantly improved by linguistic adaptation but not by biological adaptation. Indeed, the pressure toward maintaining a high level of sequential learning performance prevented biological assimilation of linguistic-specific knowledge from occurring. (shrink)

El desarrollo de la argumentación en el proceso de alfabetización académica cobra especial importancia debido a que el conocimiento académico es esencialmente argumentativo. Por esto, el objetivo de esta investigación es, por un lado, relevar, a partir del discurso de los docentes en un programa de Biología e Historia, las representaciones sociales acerca de la enseñanza-aprendizaje de la argumentación y, por otro, generar un modelo explicativo de este fenómeno. La recolección de datos se realizó por medio de entrevistas a docentes (...) de ambas disciplinas y el análisis de ellos, mediante la técnica de análisis de contenido, la que busca formular inferencias reproducibles y válidas que puedan aplicarse a un contexto determinado. The development of argumentation in the process of academic literacy is particularly important because scientific knowledge is essentially argumentative. For this reason, the purpose of this research is to elicit social representations about teaching and learning of argumentation from the discourse of teachers in a program of Biology and History, as well as to generate an explanatory model for this phenomenon. The data collection instrument used was an interview to teachers in both disciplines, and the data was analyzed using content analysis, a technique that seeks to develop replicable and valid inference that can be applied to a given context. (shrink)

Examining stem cell biology from a philosophy of science perspective, this book clarifies the field's central concept, the stem cell, as well as its aims, methods, models, explanations and evidential challenges. The first chapters discuss what stem cells are, how experiments identify them, and why these two issues cannot be completely separated. The basic concepts, methods and structure of the field are set out, as well as key limitations and challenges. The second part of the book shows how rigorous (...) explanations emerge from stem cell experiments, and compares these to other kinds of scientific explanation. Model organisms, the role of genes, and the significance of collaboration are also discussed. The last part of the book considers relations to systems biology and clinical medicine, arguing that both the mathematical models of the former, and ethical principles of the latter, are necessary for stem cell biology to deliver on its promises. (shrink)

The existing literature on the development of recombinant DNA technology and genetic engineering tends to focus on Stanley Cohen and Herbert Boyer's recombinant DNA cloning technology and its commercialization starting in the mid-1970s. Historians of science, however, have pointedly noted that experimental procedures for making recombinant DNA molecules were initially developed by Stanford biochemist Paul Berg and his colleagues, Peter Lobban and A. Dale Kaiser in the early 1970s. This paper, recognizing the uneasy disjuncture between scientific authorship and legal invention (...) in the history of recombinant DNA technology, investigates the development of recombinant DNA technology in its full scientific context. I do so by focusing on Stanford biochemist Berg's research on the genetic regulation of higher organisms. As I hope to demonstrate, Berg's new venture reflected a mass migration of biomedical researchers as they shifted from studying prokaryotic organisms like bacteria to studying eukaryotic organisms like mammalian and human cells. It was out of this boundary crossing from prokaryotic to eukaryotic systems through virus model systems that recombinant DNA technology and other significant new research techniques and agendas emerged. Indeed, in their attempt to reconstitute 'life' as a research technology, Stanford biochemists' recombinant DNA research recast genes as a sequence that could be rewritten thorough biochemical operations. The last part of this paper shifts focus from recombinant DNA technology's academic origins to its transformation into a genetic engineering technology by examining the wide range of experimental hybridizations which occurred as techniques and knowledge circulated between Stanford biochemists and the Bay Area's experimentalists. Situating their interchange in a dense research network based at Stanford's biochemistry department, this paper helps to revise the canonized history of genetic engineering's origins that emerged during the patenting of Cohen-Boyer's recombinant DNA cloning procedures. (shrink)

In the history of biology, knowledge about human differences often has been produced through an interaction with politics and values assumed to be external to science. Two recent books—Jonathan Marks’ Is Science Racist? and Maurizio Meloni’s Political Biology—shed new light on this interplay. While Marks looks into the field of anthropology, Meloni offers a historiographical view on the soft-hard heredity debate. Based on these new contributions, this essay addresses a number of current ways in which society and (...) science conceptualize human differences through categories like race, gender, and class. Especially, this refers to the separation of what is taken as natural and purportedly fixed, from what is cultural and changeable. (shrink)

Synthetic biology is an umbrella term that covers a range of aims, approaches, and techniques. They are all brought together by common practices of analogizing, synthesizing, mechanicizing, and kludging. With a focus on kludging as the connection point between biology, engineering, and evolution, I show how synthetic biology’s successes depend on custom-built kludges and a creative, “make-it-work” attitude to the construction of biological systems. Such practices do not fit neatly, however, into synthetic biology’s celebration of rational (...) design. Nor do they straightforwardly embody Richard Feynman’s “last blackboard” statement that without creating something it cannot be understood. Reflecting further on the relationship between synthetic construction and knowledge making gives philosophy of science new avenues of insight into scientific practice. (shrink)

Change is the fundamental idea of evolution. Explaining the extraordinary biological change we see written in the history of genomes and fossil beds is the primary occupation of the evolutionary biologist. Yet it is a surprising fact that for the majority of evolutionary research, we have rarely studied how evolution typically unfolds in nature, in changing ecological environments, over space and time. While ecology played a major role in the eventual acceptance of the population genetic viewpoint of evolution in the (...) synthetic era (circa 1918-1956), it held a lesser role in the development of evolutionary theory until the 1980s, when we began to systematically study the evolutionary dynamics of natural populations in space and time. As a result, early evolutionary theory was initially constructed in an abstract vacuum that was unrepresentative of evolution in nature. The subtle synthesis between ecology with evolutionary biology (eco-evo synthesis) over the past 40 years has progressed our knowledge of natural selection dynamics as they are found in nature, thus revealing how natural selection varies in strength, direction, form, and, more surprisingly, level of biological organization. Natural selection can no longer be reduced to lower levels of biological organization (i.e., individuals, selfish genes) over shorter timescales but should be expanded to include adaptation at higher levels and over longer timescales. Long-term and/or emergent evolutionary phenomena, such as multilevel selection or evolvability, have thus become tenable concepts within an evolutionary biology that embraces ecology and spatiotemporal change. Evolutionary biology is currently suspended at an intermediate stage of scientific progress that calls for the organization of all the recent knowledge revealed by the eco-evo synthesis into a coherent and unified theoretical framework. This is where philosophers of biology can be of particular use, acting as a bridge between the subdisciplines of biology and inventing new theoretical strategies to organize and accommodate the recent knowledge. Philosophers have recommended transitioning away from outdated philosophies that were originally derived from physics within the philosophical zeitgeist of logical positivism (i.e., monism, reductionism, and monocausation) and toward a distinct philosophy of biology that can capture the natural complexity of multifaceted biological systems within diverse ecosystems—one that embraces the emerging philosophies of pluralism, emergence, and multicausality. Therefore, I see recent advances in ecology, evolutionary biology, and the philosophy of biology as laying the groundwork for another major biological synthesis, what I refer to as the Second Synthesis because, in many respects, it is analogous to the aims and outcomes of the first major biological synthesis (but is notably distinct from the inorganic and contrived progressive movement known as the extended evolutionary synthesis). With the general development of a distinctive philosophy of science, biology has rightfully emerged as an autonomous science. Thus, while the first synthesis legitimized biology, the Second Synthesis autonomized biology and afforded biology its own philosophy, allowing biology to finally realize its full scientific potential. (shrink)

Several approaches to implementing symbol-like representations in neurally plausible models have been proposed. These approaches include binding through synchrony, “mesh” binding, and conjunctive binding. Recent theoretical work has suggested that most of these methods will not scale well, that is, that they cannot encode structured representations using any of the tens of thousands of terms in the adult lexicon without making implausible resource assumptions. Here, we empirically demonstrate that the biologically plausible structured representations employed in the Semantic Pointer Architecture approach (...) to modeling cognition do scale appropriately. Specifically, we construct a spiking neural network of about 2.5 million neurons that employs semantic pointers to successfully encode and decode the main lexical relations in WordNet, which has over 100,000 terms. In addition, we show that the same representations can be employed to construct recursively structured sentences consisting of arbitrary WordNet concepts, while preserving the original lexical structure. We argue that these results suggest that semantic pointers are uniquely well-suited to providing a biologically plausible account of the structured representations that underwrite human cognition. (shrink)