Results for 'evolutionary engine'

294+ found
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  1.  67
    Form and Information in Biology—An Evolutionary Perspective.Engin Bermek - forthcoming - Foundations of Science:1-20.
    In this paper, I adopt the view that the form which is embodied in matter gives it its essence and converts it into substance (Aristotle). I furthermore understand information as the transmissible state of the form. Living beings as substances can create order in their environment adapted to their needs. The environment in turn has the potential to change the form and other causes such as matter, efficiency/functionality, and goal/intention. Living beings can internalize these changes, propagate them through replication, or (...)
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  2. Felsefede İnsan-Hayvan Sorunu: Derrida ve Levinas Arasındaki Karşıtlığa Yeni Bir Yaklaşım: Kucaklama Olarak Sarılma Üzerine.Engin Yurt - 2018 - Flsf 25 (25):181-206.
    In this article, the difference between human and animal in philosophy is mainly handled. This difference is thought over the concept of “the other” and Heidegger’s phenomenological distinction between human and animal. With respect to especially the views of Derrida and Levinas regarding to this matter, it has been attempted to exhibit this difference. Therefore, the two approaches -which were represented as the opposition of Derrida and Levinas- have been tried to clarify. After this, as a new approach to this (...)
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  3. İnsan Olmak: Dil ve Bilincin Eşkökenliğine Dair bir Analiz ve Araştırma.Engin Yurt - 2018 - Kutadgubilig Felsefe-Bilim Araştırmaları Dergisi 37 (37):233-250.
    In this article, it has been searched if the language and consciousness have a co-origin or not. This origin of language and consciousness problem which draws interest in areas especially like anthropology, biology and evolutionary linguistics and evolutionary psychology is tried to be handled from a philosophical point of view. By presenting the theories about the relation between language and consciousness, theories that are well-accepted but contradicted to another from certain aspects, a thinking -which tries to go beyond (...)
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  4. İnsan Aklının Evrimsel Gelişimi Üzerine: Zıt Görüşlerin Kısa bir Analizi ve Felsefi bir Yorum.Engin Yurt - 2018 - Felsefe Dünyasi 67 (67):120-143.
    In this article, some theories about evolutionary progress of human mind are examined and criticised. Through a comparative reading of these theories -which are sometimes contradictory to each other- it has been tried to present the common missing parts of these theories. The meaning of these theories for philosophy has been thought and the presupposition of linearity in these theories is criticised. The relation of the concept of emotion with the terms like cognition, apprehension, comprehension, intellect, self-awareness, consciousness -which (...)
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  5. The Evolutionary Biological Implications of Human Genetic Engineering.Russell Powell - 2012 - Journal of Medicine and Philosophy 37 (3):204-225.
    A common worry about the genetic engineering of human beings is that it will reduce human genetic diversity, creating a biological monoculture that could not only increase our susceptibility to disease but also hasten the extinction of our species. Thus far, however, the evolutionary implications of human genetic modification remain largely unexplored. In this paper, I consider whether the widespread use of genetic engineering technology is likely to narrow the present range of genetic variation, and if so, whether this (...)
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  6. CRISPR: a new principle of genome engineering linked to conceptual shifts in evolutionary biology.Eugene V. Koonin - 2019 - Biology and Philosophy 34 (1):9.
    The CRISPR-Cas systems of bacterial and archaeal adaptive immunity have become a household name among biologists and even the general public thanks to the unprecedented success of the new generation of genome editing tools utilizing Cas proteins. However, the fundamental biological features of CRISPR-Cas are of no lesser interest and have major impacts on our understanding of the evolution of antivirus defense, host-parasite coevolution, self versus non-self discrimination and mechanisms of adaptation. CRISPR-Cas systems present the best known case in point (...)
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  7. The Paradox Engine: A Revolutionary Framework for Understanding Reality's Evolutionary Mechanisms.Kwan Hong Tan - manuscript
    This work presents a radical reconceptualization of philosophical paradoxes, arguing that they are not logical errors to be eliminated but ontological engines that drive the evolution of reality itself. Building upon classical paradoxes from Zeno to Russell, contemporary challenges in consciousness studies, and novel paradoxes derived from our theoretical framework, we propose that paradoxes serve as portals through which systems transcend their current limitations and generate new forms of existence. This perspective offers unprecedented insights into the nature of consciousness, reality, (...)
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  8.  76
    Purpose and Providence in Evolutionary Perspective: Considerations for Theological Anthropology in Light of Biocultural Evolution and Genetic Engineering.Michael Burdett & Andrew Jackson - 2025 - Heythrop Journal 66 (2):157-173.
    We argue here that bringing insights from evolution and bioengineering to bear on traditional accounts of divine providence helps to illustrate just how complex providence is and how difficult it is to achieve. While other non-human animals might exhibit greater agency in creation and its evolutionary development than has traditionally been recognised, we contend non-human animals don't meet the threshold for acting providentially. However, the interplay between biological and cultural evolution prior to the arrival of modern human beings gives (...)
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  9. Neither Adaptive Thinking nor Reverse Engineering: methods in the evolutionary social sciences.Catherine Driscoll - 2015 - Biology and Philosophy 30 (1):59-75.
    In this paper I argue the best examples of the methods in the evolutionary social sciences don’t actually resemble either of the two methods called “Adaptive Thinking” or “Reverse Engineering” described by evolutionary psychologists. Both AT and RE have significant problems. Instead, the best adaptationist work in the ESSs seems to be based on and is aiming at a different method that avoids the problems of AT and RE: it is a behavioral level method that starts with information (...)
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  10. The Coherence Engine: A First-Principles Theory of Consciousness and Its Implications for Artificial Minds.Danny Sowell - manuscript
    This paper proposes a functional architecture that appears to underlie consciousness, which I call the Coherence Engine. The architecture was developed through first-person observation and tested against established work in neuroscience and cognitive science in the manner of neurophenomenology. I argue that consciousness is a substrate-neutral architectural phenomenon, constituted wherever a prediction-integrating system becomes sufficiently complex to organize itself around a stable, self-locating point of view. Independent evolutionary emergence in mammals, birds, and cephalopods through radically different architectures supports (...)
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  11.  27
    (1 other version)Evolutionary Computation as Algorithmic Metaphor: Reframing Models, Emergence, and Randomness.Yong-Hyuk Kim - 2025 - Philosophy and Technology 39 (1):6.
    Evolutionary computation (EC) refers to a family of population-based optimisation algorithms that iteratively modify candidate solutions through selection, variation, and fitness-guided search. EC is often presented as an in silico analogue of natural selection, yet its representational status remains unsettled. This raises not only technical questions but also philosophical concerns about how metaphors mediate our understanding of computation and shape societal imaginaries of AI. We reassess EC by integrating model theory, accounts of emergence, and the philosophy of algorithmicity, and (...)
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  12. Perverse engineering.Chris Haufe - 2008 - Philosophy of Science 75 (4):437-446.
    Evolutionary psychologists, among others, have used a method called “reverse engineering” to uncover ( a ) whether a trait was selected for, and ( b ) if so, why that trait was selected for. In this paper I argue that reverse engineering cannot deliver on either ( a ) or ( b ), and tends to pervert, rather than enhance, our knowledge of natural history. In particular, I expose as false a fundamental assumption of reverse engineering—namely, that all traits (...)
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  13. Engineering and Biology: Counsel for a Continued Relationship.Brett Calcott, Arnon Levy, Mark L. Siegal, Orkun S. Soyer & Andreas Wagner - 2015 - Biological Theory 10 (1):50-59.
    Biologists frequently draw on ideas and terminology from engineering. Evolutionary systems biology—with its circuits, switches, and signal processing—is no exception. In parallel with the frequent links drawn between biology and engineering, there is ongoing criticism against this cross-fertilization, using the argument that over-simplistic metaphors from engineering are likely to mislead us as engineering is fundamentally different from biology. In this article, we clarify and reconfigure the link between biology and engineering, presenting it in a more favorable light. We do (...)
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  14. Evolutionary psychology versus Fodor: Arguments for and against the massive modularity hypothesis.Willem E. Frankenhuis & Annemie Ploeger - 2007 - Philosophical Psychology 20 (6):687 – 710.
    Evolutionary psychologists tend to view the mind as a large collection of evolved, functionally specialized mechanisms, or modules. Cosmides and Tooby (1994) have presented four arguments in favor of this model of the mind: the engineering argument, the error argument, the poverty of the stimulus argument, and combinatorial explosion. Fodor (2000) has discussed each of these four arguments and rejected them all. In the present paper, we present and discuss the arguments for and against the massive modularity hypothesis. We (...)
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  15. Engineering and evolvability.Brett Calcott - 2014 - Biology and Philosophy 29 (3):293-313.
    Comparing engineering to evolution typically involves adaptationist thinking, where well-designed artifacts are likened to well-adapted organisms, and the process of evolution is likened to the process of design. A quite different comparison is made when biologists focus on evolvability instead of adaptationism. Here, the idea is that complex integrated systems, whether evolved or engineered, share universal principles that affect the way they change over time. This shift from adaptationism to evolvability is a significant move for, as I argue, we can (...)
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  16. A look at the inference engine underlying ‘evolutionary epistemology’ accounts of the production of heuristics.Philippe Gagnon - 2012 - In Dirk Evers, Antje Jackelén & Michael Fuller, Is Religion Natural? ESSSAT Yearbook 2011-2012. Forthcoming.
    This paper evaluates the claim that it is possible to use nature’s variation in conjunction with retention and selection on the one hand, and the absence of ultimate groundedness of hypotheses generated by the human mind as it knows on the other hand, to discard the ascription of ultimate certainty to the rationality of human conjectures in the cognitive realm. This leads to an evaluation of the further assumption that successful hypotheses with specific applications, in other words heuristics, seem to (...)
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  17. Engineered Niches and Naturalized Aesthetics.Richard A. Richards - 2017 - Journal of Aesthetics and Art Criticism 75 (4):465-477.
    Recent scientific approaches to aesthetics include evolutionary theories about the origin of art behavior, psychological investigations into human aesthetic experience and preferences, and neurophysiological explorations of the mechanisms underlying art experience. Critics of these approaches argue that they are ultimately irrelevant to a philosophical aesthetics because they cannot help us understand the distinctive conceptual basis and normativity of our art experience. This criticism may seem plausible given the piecemeal nature of these scientific approaches, but a more comprehensive naturalistic framework (...)
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  18. Ecosystem Engineering, Experiment, and Evolution.Trevor Pearce - 2011 - Biology and Philosophy 26 (6):793-812.
    This paper argues that philosophers should pay more attention to the idea of ecosystem engineering and to the scientific literature surrounding it. Ecosystem engineering is a broad but clearly delimited concept that is less subject to many of the “it encompasses too much” criticisms that philosophers have directed at niche construction . The limitations placed on the idea of ecosystem engineering point the way to a narrower idea of niche construction. Moreover, experimental studies in the ecosystem engineering literature provide detailed (...)
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  19.  53
    An evolutionary scenario for the origin of pentaradial echinoderms—implications from the hydraulic principles of form determination.Michael Gudo - 2005 - Acta Biotheoretica 53 (3):191-216.
    The early evolutionary history of echinoderms was reconstructed on the basis of structural-functional considerations and application of the quasi-engineering approach of ‘Konstruktions-Morphologie’. According to the presented evolutionary scenario, a bilaterally symmetrical ancestor, such as an enteropneust-like organism, became gradually modified into a pentaradial echinoderm by passing through an intermediate pterobranch-like stage. The arms of a pentaradial echinoderm are identified as hydraulic outgrowths from the central coelomic cavity of the bilateral ancestor which developed due to a shortening of the (...)
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  20.  80
    Genetic Engineering and Human Mental Ecology: Interlocking Effects and Educational Considerations.Ramsey Affifi - 2017 - Biosemiotics 10 (1):75-98.
    This paper describes some likely semiotic consequences of genetic engineering on what Gregory Bateson has called “the mental ecology” of future humans, consequences that are less often raised in discussions surrounding the safety of GMOs. The effects are as follows: an increased 1) habituation to the presence of GMOs in the environment, 2) normalization of empirically false assumptions grounding genetic reductionism, 3) acceptance that humans are capable and entitled to decide what constitutes an evolutionary improvement for a species, 4) (...)
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  21. Engineering design and adaptation.Robert C. Richardson - 2003 - Philosophy of Science 70 (5):1277-1288.
    Reverse engineering is a matter of inferring adaptive function from structure. The utility of reverse engineering for evolutionary biology has been a matter of controversy. I offer a simple taxonomy of the uses of engineering design in assessing adaptation, with a variety of illustrations. The plausibility of applications of engineering design reflects the specific way the models are elaborated and derived.
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  22.  39
    Evolutionary Games in Natural, Social, and Virtual Worlds.Daniel Friedman & Barry Sinervo - 2016 - Oxford University Press USA.
    Over the last 25 years, evolutionary game theory has grown with theoretical contributions from the disciplines of mathematics, economics, computer science and biology. It is now ripe for applications. In this book, Daniel Friedman---an economist trained in mathematics---and Barry Sinervo---a biologist trained in mathematics---offer the first unified account of evolutionary game theory aimed at applied researchers. They show how to use a single set of tools to build useful models for three different worlds: the natural world studied by (...)
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  23. Adaptationism and engineering.Tim Lewens - 2002 - Biology and Philosophy 17 (1):1-31.
    The rights and wrongs of adaptationism areoften discussed by appeal to what I call theartefact model. Anti-adaptationistscomplain that the use of optimality modelling,reverse engineering and other techniques areindicative of a mistaken and outmoded beliefthat organisms are like well-designedartefacts. Adaptationists (e.g. Dennett 1995)respond with the assertion that viewingorganisms as though they were well designed isa fruitful, perhaps necessary research strategyin evolutionary biology. Anti-adaptationistsare right when they say that techniques likereverse engineering are liable to mislead. This fact does not undermine the (...)
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  24.  15
    (1 other version)Engineering the Minds of the Future: An Intergenerational Approach to Cognitive Technology.Michael Madary - 2021 - Global Philosophy 32 (6):1281-1295.
    The first part of this article makes the case that human cognition is an intergenerational project enabled by the inheritance and bequeathal of cognitive technology (Sects. 2–4). The final two sections of the article (Sects. 5 and 6) explore the normative significance of this claim. My case for the intergenerational claim draws results from multiple disciplines: philosophy (Sect. 2), cultural evolutionary approaches in cognitive science (Sect. 3), and developmental psychology and neuroscience (Sect. 4). In Sect. 5, I propose that (...)
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  25. (1 other version)Four principles of evolutionary pragmatics in Jacob's philosophy of modern biology.Stefan Artmann - 2004 - Axiomathes 14 (4):381-395.
    The French molecular biologist François Jacob outlined a theory of evolution as tinkering. From a methodological point of view, his approach can be seen as a biologic specification of the relation between laws, describing coherently the dynamics of a system, and contingent boundary conditions on this dynamics. From a semiotic perspective, tinkering is a pragmatic concept well-known from the information-theoretic anthropology of Claude Lévi-Strauss. In idealized contrast to an engineer, the tinkerer has to accept the concrete restrictions on his material (...)
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  26.  94
    Reverse engineering the structure of cognitive mechanisms.David Pietraszewski & Annie E. Wertz - 2011 - Behavioral and Brain Sciences 34 (4):209-210.
    Describing a cognitive system at a mechanistic level requires an engineering task analysis. This involves identifying the task and developing models of possible solutions. Evolutionary psychology and Bayesian modeling make complimentary contributions: Evolutionary psychology suggests the types of tasks that human brains were designed to solve, while Bayesian modeling provides a rigorous description of possible computational solutions to such problems.
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  27. Introducing Survival Ethics into Engineering Education and Practice.C. Verharen, J. Tharakan, G. Middendorf, M. Castro-Sitiriche & G. Kadoda - 2011 - Science and Engineering Ethics 19 (2):599-623.
    Given the possibilities of synthetic biology, weapons of mass destruction and global climate change, humans may achieve the capacity globally to alter life. This crisis calls for an ethics that furnishes effective motives to take global action necessary for survival. We propose a research program for understanding why ethical principles change across time and culture. We also propose provisional motives and methods for reaching global consensus on engineering field ethics. Current interdisciplinary research in ethics, psychology, neuroscience and evolutionary theory (...)
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  28. Reverse engineering and cognition panglossian memories?Jonathan Echeverri Álvarez & Liliana Chaves Castaño - 2014 - Ideas Y Valores 63 (155):145-170.
    Daniel C. Dennett ha dedicado una parte considerable de su obra a concebir una aplicación de la ingeniería inversa y el adaptacionismo para explicar la evolución de la mente humana. Dennet considera esta perspectiva como una posibilidad prometedora en el desarrollo de una psicología científica, en contraposición al "materialismo eliminacionista" de la neurociencia. En este artículo se expone una aproximación conceptual y se examina un antecedente filosófico en las discusiones sobre el adaptacionismo en biología y psicología evolutiva: la intencionalidad o (...)
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  29. The Orpheus Hypothesis IV - The Phonographic Simulation: Temporal Engineering and the Myth of Musical Progress.J. C. Graziano - manuscript
    The Orpheus Hypothesis I (Graziano, 2026) established rhythm as the ontological ground of musical experience, while the T.I.C.A. model formalized the indeterminacy of temporal coupling between dynamical systems. These findings, taken together, generate a consequence that their authors did not anticipate — or perhaps anticipated too clearly to state without preparation. They collide, with considerable force, against a fundamental historiographical anomaly: the alleged teleological acceleration of Western music. The history of a phenomenon that is, at its ontological core, an embodied, (...)
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  30. Synthetic Biology: A Bridge Between Functional and Evolutionary Biology.Michel Morange - 2009 - Biological Theory 4 (4):368-377.
    The interests of synthetic biologists may appear to differ greatly from those of evolutionary biologists. The engineering of organisms must be distinguished from the tinkering action of evolution; the ambition of synthetic biologists is to overcome the limits of natural evolution. But the relations between synthetic biology and evolutionary biology are more complex than this abrupt opposition: Synthetic biology may play an important role in the increasing interactions between functional and evolutionary biology. In practice, synthetic biologists have (...)
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  31.  7
    Re-Engineering Wimsatt for Limited Beings.Johannes Jaeger & Marcus Neustetter - 2026 - Acta Biotheoretica 74 (3):24.
    Science is the best way to produce facts about reality. The best, at least, that limited human beings have devised so far. Yet, not even scientists quite seem to understand how scientific knowledge is generated. This is not only a philosophical but also a practical problem, as our misunderstandings affect the quality of our research and limit the directions it can take. In light of this, it may be good if we reflected a bit more on how we do science (...)
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  32.  61
    Human Success: Evolutionary Origins and Ethical Implications.Hugh Desmond & Grant Ramsey - 2023 - New York, US: OUP Usa. Edited by Hugh Desmond & Grant Ramsey.
    What does it mean for our species—or for any species—to be successful? Human Success: Evolutionary Origins and Ethical Implications examines the concept of human success from a variety of disciplinary perspectives, with contributions from leading paleobiologists, anthropologists, geologists, philosophers of science, and ethicists. It tells the tale of how the human species grew in success-linked metrics, such as population size and geographical range, and how it came to dominate ecological systems across the globe. It explores how culture, technology, and (...)
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  33. Ecology and evolutionary biology in the war and postwar years: Questions and comments.John Beatty - 1988 - Journal of the History of Biology 21 (2):245-263.
    Of all the scientists discussed by Mitman, Keller, and Taylor, Odum stands out most as the technocrat, the social engineer. But less obvious candidates, like Allee, also fancied themselves in this capacity: “Our task as biologists and as citizens of a civilized country, is a practical engineering job.” Allee had in mind the establishment of an international cooperative order based on his biological principles. He apparently did not recognize the extent to which his principles were themselves an engineering feat: he (...)
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  34. A Customized Differential Evolutionary Algorithm for Bounded Constrained Optimization Problems.Wali Khan Mashwani, Zia Ur Rehman, Maharani A. Bakar, Ismail Koçak & Muhammad Fayaz - 2021 - Complexity 2021:1-24.
    Bound-constrained optimization has wide applications in science and engineering. In the last two decades, various evolutionary algorithms were developed under the umbrella of evolutionary computation for solving various bound-constrained benchmark functions and various real-world problems. In general, the developed evolutionary algorithms belong to nature-inspired algorithms and swarm intelligence paradigms. Differential evolutionary algorithm is one of the most popular and well-known EAs and has secured top ranks in most of the EA competitions in the special session of (...)
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  35.  73
    Chemistry and the Engineering of Life Around 1900: Research and Reflections by Jacques Loeb.Ute Deichmann - 2009 - Biological Theory 4 (4):323-332.
    Dissatisfied with the descriptive and speculative methods of evolutionary biology of his time, the physiologist Jacques Loeb, best known for his “engineering” approach to biology, reflected on the possibilities of artificially creating life in the laboratory. With the objective of experimentally tackling one of the crucial questions of organic evolution, i.e., the origin of life from inanimate matter, he rejected claims made by contemporary scientists of having produced artificial life through osmotic growth processes in inorganic salt solutions. According to (...)
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  36. In Genes We Trust: Germline Engineering, Eugenics, and the Future of the Human Genome.Russell Powell - 2015 - Journal of Medicine and Philosophy 40 (6):669-695.
    Liberal proponents of genetic engineering maintain that developing human germline modification technologies is morally desirable because it will result in a net improvement in human health and well-being. Skeptics of germline modification, in contrast, fear evolutionary harms that could flow from intervening in the human germline, and worry that such programs, even if well intentioned, could lead to a recapitulation of the scientifically and morally discredited projects of the old eugenics. Some bioconservatives have appealed as well to the value (...)
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  37. The Dignity of Diminished Animals: Species Norms and Engineering to Improve Welfare.Marcus Schultz-Bergin - 2017 - Ethical Theory and Moral Practice 20 (4):843-856.
    The meteoric rise of CRISPR/Cas9 gene editing technology has ignited discussions of engineering agricultural animals to improve their welfare. While some have proposed enhancing animals, for instance by engineering for disease resistance, others have suggested we might diminish animals to improve their welfare. By reducing or eliminating species-typical capacities, the expression of which is frustrated under current conditions, animal diminishment could reduce or eliminate the suffering that currently accompanies industrial animal agriculture. Although diminishment could reduce animal suffering, there is a (...)
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  38.  68
    Comparison between the work of synthetic biologists and the action of evolution: engineering versus tinkering.Michel Morange - 2013 - Biological Theory 8 (4):318-323.
    The comparison between natural evolution and the action of a tinkerer has become highly popular since its reintroduction by François Jacob at the end of the 1970s. It has been used as a weapon against the existence of an “intelligent design” as well as a way for synthetic biologists to promote their ambitious projects. I will describe the complex history of this metaphor, and examine its pertinence. Whereas Darwin considered it as a way to describe how evolution proceeded, Jacob linked (...)
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  39. Bacteria are small but not stupid: cognition, natural genetic engineering and socio-bacteriology.J. A. Shapiro - 2007 - Studies in History and Philosophy of Science Part C: Studies in History and Philosophy of Biological and Biomedical Sciences 38 (4):807-819.
    Forty years’ experience as a bacterial geneticist has taught me that bacteria possess many cognitive, computational and evolutionary capabilities unimaginable in the first six decades of the twentieth century. Analysis of cellular processes such as metabolism, regulation of protein synthesis, and DNA repair established that bacteria continually monitor their external and internal environments and compute functional outputs based on information provided by their sensory apparatus. Studies of genetic recombination, lysogeny, antibiotic resistance and my own work on transposable elements revealed (...)
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  40.  29
    Generic Scaffolding for a non-standard Engineering Design Ethic.Anne-Françoise Schmid, Subrahmanian Eswaran, Ira Monarch & Muriel Mambrini-Doudet - unknown
    Our view is not to see engineering from the point of view of philosophy, nor is it to see philosophy from the point of view of engineering. We are offering neither a philosophy of engineering, nor a re-engineering of philosophy, nor a philosophy from an evolutionary point of view, nor do we see engineering as applied science. Moreover our focus is not on validation or justification. Rather, we are proposing that the relationships among philosophy, engineering, science and the arts (...)
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  41.  66
    What attitude should we take to conceptual engineering?Paul-Mikhail Catapang Podosky - 2025 - Synthese 205 (1):1-21.
    In this paper, I grapple with the question: What attitude should we take to conceptual engineering? Particularly, I consider whether cautious optimism is warranted when conceptual engineering is understood as a means of promoting social justice. For Simion and Kelp (Noûs 54(4):985–1002, 2019), evolutionary biology and biotechnology serve as useful analogical sources for grounding optimism. In response, I argue that (1) even if the analogy holds, optimism cannot inferred from biology to conceptual engineering, and (2) the analogy breaks down. (...)
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  42.  60
    Darwin in the machine: addressing algorithmic individuation through evolutionary narratives in computing.Selin E. Nugent - 2026 - AI and Society 41 (3):1671-1684.
    This paper examines the application of evolutionary analogy in AI (artificial intelligence) research, focussing on narratives that perpetuate individuated and autonomous imaginaries of AI systems through biological diction. AI research has long drawn inspiration from evolution to design and predict algorithmic change. Occasionally, these narratives extend inspiration to reimagine AI as a non-human species subject to the same evolutionary pressures as biological organisms. As AI technologies embed more pervasively in public life and require critical perspectives on their social (...)
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  43. How hard is artificial intelligence? Evolutionary arguments and selection effects.Carl Shulman & Nick Bostrom - 2012 - Journal of Consciousness Studies 19 (7-8):7-8.
    Several authors have made the argument that because blind evolutionary processes produced human intelligence on Earth, it should be feasible for clever human engineers to create human-level artificial intelligence in the not-too-distant future. This evolutionary argument, however, has ignored the observation selection effect that guarantees that observers will see intelligent life having arisen on their planet no matter how hard it is for intelligent life to evolve on any given Earth-like planet. We explore how the evolutionary argument (...)
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  44.  83
    The Exercise–Affect–Adherence Pathway: An Evolutionary Perspective.Harold H. Lee, Jessica A. Emerson & David M. Williams - 2016 - Frontiers in Psychology 7:207868.
    The low rates of regular exercise and overall physical activity (PA) in the general population represent a significant public health challenge. Previous research suggests that, for many people, exercise leads to a negative affective response and, in turn, reduced likelihood of future exercise. The purpose of this paper is to examine this exercise–affect–adherence relationship from an evolutionary perspective. Specifically, we argue that low rates of physical exercise in the general population are a function of the evolved human tendency to (...)
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  45.  95
    A Piecewise Aggregation of Philosophers’ and Biologists’ Perspectives: William C. Wimsatt: Re-Engineering Philosophy for Limited Beings: Piecewise Approximations to Reality; Harvard University Press, Cambridge, 2007, 472 pp., $65.50 hbk, ISBN 978-0-674-01545-6.Werner Callebaut, Martin Schlumpp, Julia Lang, Christoph Frischer, Stephan Handschuh, Miles MacLeod & Isabella Sarto-Jackson - 2016 - Biological Theory 11 (1):1-10.
    Re-Engineering Philosophy for Limited Beings is about new approaches to many of the big topics in philosophy of science today, but with a very different take. To begin with, we are urged to reject the received Cartesian-Laplacean myths: Descartes’ certainty and Laplace’s computational omniscience. Instead, Wimsatt re-engineers a philosophy for human beings with all their cognitive limitations. His approaches find their starting point in the actual practices of scientists themselves, which he strongly identifies with engineering practices as the source of (...)
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  46.  54
    Analysis of Electrical Drawing Ability with Autocad Based on Core Skills and Work Abilities: A Case Study om Electrical Engineering Education Students at the Indonesian Education University.Elih Mulyana, Deni Darmawan, Jenuri, Triana Lestari, Deti Rosmita, Komariah & Linda Setiawati - 2024 - Evolutionary Studies in Imaginative Culture:270-277.
    The ability to design engineering drawings using Auto CAD (Automatic Computer Aided Design) is a major issue needed in work for contractors and planning consultants. This study aims to determine the level of students' ability in making engineering drawing designs using AutoCAD Students who take engineering drawing courses are adjusted to the competency of certificate IV in Engineering Drafting according to the AQF (Australian Qualification Framework) standard, the competency unit taken is Operating a computer-aided design system (CAD) and producing basic (...)
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  47.  92
    Multiple Realizability as a design heuristic in biological engineering.Rami Koskinen - 2018 - European Journal for Philosophy of Science 9 (1):15.
    Recently, several critics of the multiple realizability thesis have argued that philosophers have tended to accept the thesis on too weak grounds. On the one hand, the analytic challenge has problematized how philosophers have treated the multiple realization relation itself, claiming that assessment of the sameness of function and the relevant difference of realizers has been uncritical. On the other hand, it is argued that the purported evidence of the thesis is often left empirically unverified. This paper provides a novel (...)
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  48.  47
    Elements of a philosophy of technology: on the evolutionary history of culture.Ernst Kapp - 2018 - London: University of Minnesota Press. Edited by Jeffrey West Kirkwood, Leif Weatherby & Lauren K. Wolfe.
    The anthropological scale -- Organ projection -- The first tools -- Limbs and measure -- Apparatuses and instruments -- The inner architecture of the bones -- Steam engines and rail lines -- The electromagnetic telegraph -- The unconscious -- Machine technology -- The fundamental morphological law -- Language -- The state.
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  49.  45
    Basic Logic Models: Implicit Knowledge Structures in Evolutionary Knowledge Domains.Flavia Santoianni - 2024 - In Emiliano Ippoliti, Lorenzo Magnani & Selene Arfini, Model-Based Reasoning, Abductive Cognition, Creativity. Cham: Springer. pp. 271-290.
    In this research of experimental education, implicit learning research area is deepened and its implications for University study choice are hypothesized. Even if in literature there is still little consensus about the definition and role of implicit learning, experimental research suggests that implicit coding of reality may influence the relationship between students and their choices of specific disciplinary domains, according to their own implicit knowledge structures. Unaware processes co-construct an implicit knowledge base through emerging cognitive units different for each student (...)
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  50. Ethics and the genetic engineering of food animals.Paul B. Thompson - 1997 - Journal of Agricultural and Environmental Ethics 10 (1):1-23.
    Biotechnology applied to traditional foodanimals raises ethical issues in three distinctcategories. First are a series of issues that arise inthe transformation of pigs, sheep, cattle and otherdomesticated farm animals for purposes that deviatesubstantially from food production, including forxenotransplantation or production of pharmaceuticals.Ethical analysis of these issues must draw upon theresources of medical ethics; categorizing them asagricultural biotechnologies is misleading. The secondseries of issues relate to animal welfare. Althoughone can stipulate a number of different philosophicalfoundations for the ethical assessment of welfare,most (...)
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