Search results for 'regulatory evolution' (try it on Scholar)

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  1. Stavros Ioannidis (2013). Regulatory Evolution and Theoretical Arguments in Evolutionary Biology. Science and Education 22 (2):279-292.score: 66.0
    The cis-regulatory hypothesis is one of the most important claims of evolutionary developmental biology. In this paper I examine the theoretical argument for cis-regulatory evolution and its role within evolutionary theorizing. I show that, although the argument has some weaknesses, it acts as a useful example for the importance of current scientific debates for science education.
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  2. Ariel D. Chipman (2010). Parallel Evolution of Segmentation by Co‐Option of Ancestral Gene Regulatory Networks. Bioessays 32 (1):60-70.score: 60.0
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  3. Mika Skippari & Päivi Holmlund (2007). The Evolution of Non-Market Strategies in a Changing Regulatory Environment. Proceedings of the International Association for Business and Society 18:412-415.score: 48.0
    In the earlier literature the importance of public policies and regulatory changes to firm performance and competitive position has been well established (e.g., Bonardi, 2004). However, little research has been done on the dynamics of this relationship. In this paper, we examine how and why regulatory changes can affect on the evolution of market and nonmarket strategies of a firm. We use a longitudinal case study on Finnish retail industry to illustrate the interactions between regulatory change, (...)
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  4. Manfred D. Laubichler (2006). Does EvoDevo Equal Regulatory Evolution?: Endless Forms Most Beautiful: The New Science of Evo Devo and the Making of the Animal Kingdom Sean B. Carroll New York and London : Norton , 2005 (350 Pp; $25.95 Hbk; ISBN 0393060160); From DNA to Diversity: Molecular Genetics and the Evolution of Animal Design (2nd Ed.) Sean B. Carroll , Jennifer K. Grenier , Scott D. Weatherbee Malden, MA : Blackwell , 2004 (258 Pp; $49.95 Pbk; ISBN 1405119500). [REVIEW] Biological Theory 1 (1):102-103.score: 45.0
  5. Guy Barry & John S. Mattick (2012). The Role of Regulatory RNA in Cognitive Evolution. Trends in Cognitive Sciences 16 (10):497-503.score: 45.0
    The evolution of the human brain has resulted in the emergence of higher-order cognitive abilities, such as reasoning, planning and social awareness. Although there has been a concomitant increase in brain size and complexity, and component diversification, we argue that RNA regulation of epigenetic processes, RNA editing, and the controlled mobilization of transposable elements have provided the major substrates for cognitive advance. We also suggest that these expanded capacities and flexibilities have led to the collateral emergence of psychiatric fragilities (...)
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  6. Edward B. Chuong (2013). Retroviruses Facilitate the Rapid Evolution of the Mammalian Placenta. Bioessays 35 (10):853-861.score: 39.0
  7. Douglas R. Cavener (1992). Transgenic Animal Studies on the Evolution of Genetic Regulatory Circuitries. Bioessays 14 (4):237-244.score: 36.0
  8. Nadege Philippe, Estelle Crozat, Richard E. Lenski & Dominique Schneider (2007). Evolution of Global Regulatory Networks During a Long‐Term Experiment with Escherichia Coli. Bioessays 29 (9):846-860.score: 36.0
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  9. Gareth M. Thomas & Takashi Hayashi (2013). Smarter Neuronal Signaling Complexes From Existing Components: How Regulatory Modifications Were Acquired During Animal Evolution. Bioessays 35 (11):929-939.score: 36.0
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  10. Adam S. Wilkins (2007). Putting Transcriptional Network Evolution at the Heart of Evolutionary Biology. The Regulatory Genome: Gene Regulatory Networks in Development and Evolution. (2006). Eric H. Davidson. Academic Press, San Diego. Xi + 289 Pp. ISBN 978‐0‐12‐088563‐3. [REVIEW] Bioessays 29 (11):1175-1177.score: 36.0
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  11. Gregory A. Wray & David A. Garfield (2010). The Evolution of Gene Regulatory Interactions. Bioscience 60 (1):15-23.score: 36.0
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  12. Scott Barolo (2012). Shadow Enhancers: Frequently Asked Questions About Distributed Cis‐Regulatory Information and Enhancer Redundancy. Bioessays 34 (2):135-141.score: 33.0
  13. Antónia Monteiro (2012). Gene Regulatory Networks Reused to Build Novel Traits. Bioessays 34 (3):181-186.score: 33.0
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  14. Lyudmila Trut, Irina Oskina & Anastasiya Kharlamova (2009). Animal Evolution During Domestication: The Domesticated Fox as a Model. Bioessays 31 (3):349-360.score: 33.0
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  15. James J. McKenna (1990). Evolution and Sudden Infant Death Syndrome (SIDS). Human Nature 1 (2):145-177.score: 27.0
    This paper and its subsequent parts (Part II and Part III) build on an earlier publication (McKenna 1986). They suggest that important clinical data on the relationship between infantile constitutional deficits and microenvironmental factors relevant to SIDS can be acquired by examining the physiological regulatory effects (well documented among nonhuman primates) that parents assert on their infants when they sleep together.I attempt to show why access to parental sensory cues (movement, touch, smell, sound) that induce arousals in infants while (...)
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  16. Ryan J. Taft, Michael Pheasant & John S. Mattick (2007). The Relationship Between Non‐Protein‐Coding DNA and Eukaryotic Complexity. Bioessays 29 (3):288-299.score: 27.0
    There are two intriguing paradoxes in molecular biology-the inconsistent relationship between organismal complexity and (1) cellular DNA content and (2) the number of protein-coding genes-referred to as the C-value and G-value paradoxes, respectively. The C-value paradox may be largely explained by varying ploidy. The G-value paradox is more problematic, as the extent of protein coding sequence remains relatively static over a wide range of developmental complexity. We show by analysis of sequenced genomes that the relative amount of non-protein-coding sequence increases (...)
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  17. Max Velmans (2007). The Co-Evolution of Matter and Consciousness. Velmans, Prof Max (2007) the Co-Evolution of Matter and Consciousness. [Journal (Paginated)] 44 (2):273-282.score: 21.0
    Theories about the evolution of consciousness relate in an intimate way to theories about the distribution of consciousness, which range from the view that only human beings are conscious to the view that all matter is in some sense conscious. Broadly speaking, such theories can be classified into discontinuity theories and continuity theories. Discontinuity theories propose that consciousness emerged only when material forms reached a given stage of evolution, but propose different criteria for the stage at which this (...)
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  18. Massimo Pigliucci (2005). Evolution of Phenotypic Plasticity: Where Are We Going Now? Trends in Ecology and Evolution 20 (9):481-486.score: 21.0
    The study of phenotypic plasticity has progressed significantly over the past few decades. We have moved from variation for plasticity being considered as a nuisance in evolutionary studies to it being the primary target of investigations that use an array of methods, including quantitative and molecular genetics, as well as of several approaches that model the evolution of plastic responses. Here, I consider some of the major aspects of research on phenotypic plasticity, assessing where progress has been made and (...)
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  19. Pouwel Slurink (1993). Ecological Dominance and the Final Sprint in Hominid Evolution. Human Evolution.score: 21.0
    In contrast to many other models of human evolution the "balance of power" theory of Alexander has a clear answer to the question why a runaway selection process for unique social and moral capacities occurred in our ancestry only and not in other species: "ecological dominance" is hypothesized to have diminished the effects of "extrinsic" forces of natural selection such that within-species, intergroup competition increased (Alexander, 1989). Alexander seems to be wrong, however, in his claim that already the common (...)
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  20. Matt J. Rossano (2011). Cognitive Control: Social Evolution and Emotional Regulation. Topics in Cognitive Science 3 (2):238-241.score: 21.0
    This commentary argues that theories of cognitive control risk being incomplete unless they incorporate social/emotional factors. Social factors very likely played a critical role in the evolution of human cognitive control abilities, and emotional states are the primary regulatory mechanisms of cognitive control.
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  21. J. Aracena & J. Demongeot (2004). Mathematical Methods for Inferring Regulatory Networks Interactions: Application to Genetic Regulation. Acta Biotheoretica 52 (4).score: 21.0
    This paper deals with the problem of reconstruction of the intergenic interaction graph from the raw data of genetic co-expression coming with new technologies of bio-arrays (DMA-arrays, protein-arrays, etc.). These new imaging devices in general only give information about the asymptotical part (fixed configurations of co-expression or limit cycles of such configurations) of the dynamical evolution of the regulatory networks (genetic and/or proteic) underlying the functioning of living systems. Extracting the casual structure and interaction coefficients of a gene (...)
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  22. L. Hammen (1986). On Some Aspects of Parallel Evolution in Chelicerata. Acta Biotheoretica 35 (1-2).score: 21.0
    A study is made of some aspects of parallel evolution in Chelicerata. Definitions are given of parallel evolution, convergence, homology and analogy. It is pointed out that the concept of parallel evolution (parallelism) is initially formed in an empirical way, and that a judgment must be based on formal criteria. Particular attention is paid to the rôle of gene regulation in parallel evolution, to the special case of convergence as a result of heterologous regulatory mechanisms, (...)
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  23. A. K. Sharma (1986). Evolution of Cell and Chromosome Structure in Eukaryote. Acta Biotheoretica 35 (1-2).score: 21.0
    The analysis of the data so far available indicates that eukaryotic chromosome with splicing characteristics appeared quite early in evolution possibly parallel and not sequential to the prokaryotic system. The endosymbiotic origin of the eukaryotic cell involved a primitive undifferentiated unicellular eukaryote and a photosynthetic or non-photosynthetic microbe. Certain regulatory genes of extra-cellular organelles were transferred later through molecular hybridization to the nucleus. The evolution of multicellularity and sexual reproduction led to the origin of innumerable eukaryotic forms (...)
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  24. Peter B. Todd (2013). Teilhard and Other Modern Thinkers on Evolution, Mind, and Matter. Teilhard Studies (66):1-22.score: 18.0
    In his The Phenomenon of Man, Pierre Teilhard de Chardin develops concepts of consciousness, the noosphere, and psychosocial evolution. This paper explores Teilhard’s evolutionary concepts as resonant with thinking in psychology and physics. It explores contributions from archetypal depth psychology, quantum physics, and neuroscience to elucidate relationships between mind and matter. Teilhard’s work can be seen as advancing this psychological lineage or psychogenesis. That is, the evolutionary emergence of matter in increasing complexity from sub-atomic particles to the human brain (...)
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  25. W. Tecumseh Fitch (2005). The Evolution of Language: A Comparative Review. [REVIEW] Biology and Philosophy 20 (2-3):193-203.score: 18.0
    For many years the evolution of language has been seen as a disreputable topic, mired in fanciful “just so stories” about language origins. However, in the last decade a new synthesis of modern linguistics, cognitive neuroscience and neo-Darwinian evolutionary theory has begun to make important contributions to our understanding of the biology and evolution of language. I review some of this recent progress, focusing on the value of the comparative method, which uses data from animal species to draw (...)
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  26. Marcin Miłkowski (2009). Is Evolution Algorithmic? Minds and Machines 19 (4):465-475.score: 18.0
    In Darwin’s Dangerous Idea, Daniel Dennett claims that evolution is algorithmic. On Dennett’s analysis, evolutionary processes are trivially algorithmic because he assumes that all natural processes are algorithmic. I will argue that there are more robust ways to understand algorithmic processes that make the claim that evolution is algorithmic empirical and not conceptual. While laws of nature can be seen as compression algorithms of information about the world, it does not follow logically that they are implemented as algorithms (...)
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  27. Aaron Sloman (2011). Evolution: The Computer Systems Engineer Designing Minds. Avant 2 (2):45–69.score: 18.0
    What we have learnt in the last six or seven decades about virtual machinery, as a result of a great deal of science and technology, enables us to offer Darwin a new defence against critics who argued that only physical form, not mental capabilities and consciousness could be products of evolution by natural selection. The defence compares the mental phenomena mentioned by Darwin’s opponents with contents of virtual machinery in computing systems. Objects, states, events, and processes in virtual machinery (...)
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  28. Alan carter (2005). Evolution and the Problem of Altruism. Philosophical Studies 123 (3):213-230.score: 18.0
    Genuine altruism would appear to be incompatible with evolutionary theory. And yet altruistic behavior would seem to occur, at least on occasion. This article first considers a game-theoretical attempt at solving this seeming paradox, before considering agroup selectionist approach. Neither approach, as they stand, would seem to render genuine, as opposed to reciprocal, altruism compatible with the theory of evolution. The article concludes by offering an alternative game-theoretical solution to the problem of altruism.
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  29. Elliott Sober (1992). The Evolution of Altruism: Correlation, Cost, and Benefit. [REVIEW] Biology and Philosophy 7 (2):177-187.score: 18.0
    A simple and general criterion is derived for the evolution of altruism when individuals interact in pairs. It is argued that the treatment of this problem in kin selection theory and in game theory are special cases of this general criterion.
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  30. Massimo Pigliucci (2007). The Evolution-Creation Wars: Why Teaching More Science Just is Not Enough. McGill Journal of Education 42 (2):285-306.score: 18.0
    The creation-evolution “controversy” has been with us for more than a century. Here I argue that merely teaching more science will probably not improve the situation; we need to understand the controversy as part of a broader problem with public acceptance of pseudoscience, and respond by teaching how science works as a method. Critical thinking is difficult to teach, but educators can rely on increasing evidence from neurobiology about how the brain learns, or fails to.
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  31. Stevan Harnad, On Fodor on Darwin on Evolution.score: 18.0
    Jerry Fodor argues that Darwin was wrong about "natural selection" because (1) it is only a tautology rather than a scientific law that can support counterfactuals ("If X had happened, Y would have happened") and because (2) only minds can select. Hence Darwin's analogy with "artificial selection" by animal breeders was misleading and evolutionary explanation is nothing but post-hoc historical narrative. I argue that Darwin was right on all counts. Until Darwin's "tautology," it had been believed that either (a) God (...)
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  32. Michael C. Corballis (2003). From Mouth to Hand: Gesture, Speech, and the Evolution of Right-Handedness. Behavioral and Brain Sciences 26 (2):199-208.score: 18.0
    The strong predominance of right-handedness appears to be a uniquely human characteristic, whereas the left-cerebral dominance for vocalization occurs in many species, including frogs, birds, and mammals. Right-handedness may have arisen because of an association between manual gestures and vocalization in the evolution of language. I argue that language evolved from manual gestures, gradually incorporating vocal elements. The transition may be traced through changes in the function of Broca's area. Its homologue in monkeys has nothing to do with vocal (...)
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  33. Christopher Toner (2011). Evolution, Naturalism, and the Worthwhile: A Critique of Richard Joyce's Evolutionary Debunking of Morality. Metaphilosophy 42 (4):520-546.score: 18.0
    Abstract: In The Evolution of Morality, Richard Joyce argues there is good reason to think that the “moral sense” is a biological adaptation, and that this provides a genealogy of the moral sense that has a debunking effect, driving us to the conclusion that “our moral beliefs are products of a process that is entirely independent of their truth, … we have no grounds one way or the other for maintaining these beliefs.” I argue that Joyce's skeptical conclusion is (...)
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  34. Helena Knyazeva & Sergei Kurdyumov (2001). Nonlinear Synthesis and Co-Evolution of Complex Systems. World Futures 57 (3):239-261.score: 18.0
    Today a change is imperative in approaching global problems: what is needed is not arm-twisting and power politics, but searching for ways of co-evolution in the complex social and geopolitical systems of the world. The modern theory of self-organization of complex systems provides us with an understanding of the possible forms of coexistence of heterogeneous social and geopolitical structures at different stages of development regarding the different paths of their sustainable co-evolutionary development. The theory argues that the evolutionary channel (...)
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  35. Chris Buskes (2013). Darwinism Extended: A Survey of How the Idea of Cultural Evolution Evolved. Philosophia 41 (3):661-691.score: 18.0
    In the past 150 years there have been many attempts to draw parallels between cultural and biological evolution. Most of these attempts were flawed due to lack of knowledge and false ideas about evolution. In recent decades these shortcomings have been cleared away, thus triggering a renewed interest in the subject. This paper offers a critical survey of the main issues and arguments in that discussion. The paper starts with an explication of the Darwinian algorithm of evolution. (...)
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  36. James H. Fetzer (2011). Evolution and Atheism: Has Griffin Reconciled Science and Religion? Synthese 178 (2):381 - 396.score: 18.0
    The distinguished theologian, David Ray Griffin, has advanced a set of thirteen theses intended to characterize (what he calls) "Neo-Darwinism" and which he contrasts with "Intelligent Design". Griffin maintains that Neo-Darwinism is "atheistic" in forgoing a creator but suggests that, by adopting a more modest scientific naturalism and embracing a more naturalistic theology, it is possible to find "a third way" that reconciles religion and science. The considerations adduced here suggest that Griffin has promised more than he can deliver. On (...)
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  37. Maxim I. Stamenov & Vittorio Gallese (eds.) (2002). Mirror Neurons and the Evolution of Brain and Language. John Benjamins.score: 18.0
    Selected contributions to the symposium on "Mirror neurons and the evolution of brain and language" held on July 5-8, 2000 in Delmenhorst, Germany.
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  38. Kim Sterelny (2006). The Evolution and Evolvability of Culture. Mind and Language 21 (2):137-165.score: 18.0
    Joseph Henrich and Richard McElreath begin their survey of theories of cultural evolution with a striking historical example. They contrast the fate of the Bourke and Wills expedition — an attempt to explore some of the arid areas of inland Australia — with the routine survival of the local aboriginals in exactly the same area. That expedition ended in failure and death, despite the fact that it was well equipped, and despite the fact that those on the expedition were (...)
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  39. Thomas Suddendorf & Michael C. Corballis (2007). The Evolution of Foresight: What is Mental Time Travel, and is It Unique to Humans? Behavioral and Brain Sciences 30 (3):299-313.score: 18.0
    In a dynamic world, mechanisms allowing prediction of future situations can provide a selective advantage. We suggest that memory systems differ in the degree of flexibility they offer for anticipatory behavior and put forward a corresponding taxonomy of prospection. The adaptive advantage of any memory system can only lie in what it contributes for future survival. The most flexible is episodic memory, which we suggest is part of a more general faculty of mental time travel that allows us not only (...)
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  40. Krist Vaesen (2012). Cooperative Feeding and Breeding, and the Evolution of Executive Control. Biology and Philosophy 27 (1):115-124.score: 18.0
    Dubreuil (Biol Phil 25:53–73, 2010b , this journal) argues that modern-like cognitive abilities for inhibitory control and goal maintenance most likely evolved in Homo heidelbergensis , much before the evolution of oft-cited modern traits, such as symbolism and art. Dubreuil’s argument proceeds in two steps. First, he identifies two behavioral traits that are supposed to be indicative of the presence of a capacity for inhibition and goal maintenance: cooperative feeding and cooperative breeding. Next, he tries to show that these (...)
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  41. Maria Kronfeldner (2010). Won't You Please Unite? Darwinism, Cultural Evolution and Kinds of Synthesis. In A. Barahona, H.-J. Rheinberger & E. Suarez-Diaz (eds.), The Hereditary Hourglass: Genetics and Epigenetics, 1868-2000. Max Planck Insititute for the History of Science. 111-125.score: 18.0
    The synthetic theory of evolution has gone stale and an expanding or (re-)widening of it towards a new synthesis has been announced. This time, development and culture are supposed to join the synthesis bandwagon. In this article, I distinguish between four kinds of synthesis that are involved when we extend the evolutionary synthesis towards culture: the integration of fields, the heuristic generation of interfields, the expansion of validity, and the creation of a common frame of discourse or ‘big-picture’. These (...)
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  42. P. Slurink, Culture and the Evolution of the Human Mating System.score: 18.0
    Contrary to chimpanzees and bonobos, humans display long-term exclusive relationships between males and females. Probably all human cultures have some kind of marriage system, apparently designed to protect these exclusive relationships and the resulting offspring in a potentially sexual competitive environment. Different hypotheses about the origin of human pair-bonds are compared and it is shown how they may refer to different phases of human evolution.
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  43. Jeff Kirby (2003). A New Group-Selection Model for the Evolution of Homosexuality. Biology and Philosophy 18 (5):683-694.score: 18.0
    Abstract. Scientists have long puzzled over how homosexual orientation has evolved, given the assumed low relative fitness of homosexual individuals compared to heterosexual individuals. A number of theoretical models for the evolution of homosexuality have been postulated including balance polymorphism, "Fertile females", hypervariability of DNA sequences, kin selection, and "parental manipulation". In this paper, I propose a new group-selection model for the evolution of homosexuality which offers two advantages over existing models: (1) its non-assumption of genetic determinism, and (...)
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  44. Matteo Mameli (2002). Mindreading, Mindshaping, and Evolution. Biology and Philosophy 16 (5):595-626.score: 18.0
    I present and apply some powerful tools for studying human evolution and the impact of cultural resources on it. The tools in question are a theory of niche construction and a theory about the evolutionary significance of extragenetic (and, in particular, of psychological and social) inheritance. These tools are used to show how culturally transmitted resources can be recruited by development and become generatively entrenched. The case study is constituted by those culturally transmitted items that social psychologists call ‘expectancies’. (...)
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  45. Kevin N. Laland, John Odling-Smee & Marcus W. Feldman (2000). Niche Construction, Biological Evolution, and Cultural Change. Behavioral and Brain Sciences 23 (1):131-146.score: 18.0
    We propose a conceptual model that maps the causal pathways relating biological evolution to cultural change. It builds on conventional evolutionary theory by placing emphasis on the capacity of organisms to modify sources of natural selection in their environment (niche construction) and by broadening the evolutionary dynamic to incorporate ontogenetic and cultural processes. In this model, phenotypes have a much more active role in evolution than generally conceived. This sheds light on hominid evolution, on the evolution (...)
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  46. Ray Jackendoff (2003). Précis of Foundations of Language: Brain, Meaning, Grammar, Evolution,. Behavioral and Brain Sciences 26 (6):651-665.score: 18.0
    The goal of this study is to reintegrate the theory of generative grammar into the cognitive sciences. Generative grammar was right to focus on the child's acquisition of language as its central problem, leading to the hypothesis of an innate Universal Grammar. However, generative grammar was mistaken in assuming that the syntactic component is the sole course of combinatoriality, and that everything else is “interpretive.” The proper approach is a parallel architecture, in which phonology, syntax, and semantics are autonomous generative (...)
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  47. James R. Hofmann & Bruce H. Weber (2003). The Fact of Evolution: Implications for Science Education. Science and Education 12 (8):729-760.score: 18.0
    Creationists who object to evolution in the science curriculum of public schools often cite Jonathan Well’s book Icons of Evolution in their support (Wells 2000). In the third chapter of his book Wells claims that neither paleontological nor molecular evidence supports the thesis that the history of life is an evolutionary process of descent from preexisting ancestors. We argue that Wells inappropriately relies upon ambiguities inherent in the term ‘Darwinian’ and the phrase ‘Darwin’s theory’. Furthermore, he does not (...)
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  48. John Beatty & Isabel Carrera (2012). When What Had to Happen Was Not Bound to Happen: History, Chance, Narrative, Evolution. Journal of the Philosophy of History 5 (3):471-495.score: 18.0
    Abstract What is it for history to matter? Stephen Gould argued that unpredictability is part of the answer. For example, the “fact“ that repeated replays of the history of life would end differently every time is a sign that history matters to the course of evolution. But there is a problem here: if a particular point in the past leaves open alternative possible futures, then in what sense does that point in the past matter with regard to which of (...)
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  49. Eva Jablonka & Marion J. Lamb (2007). Précis of Evolution in Four Dimensions. Behavioral and Brain Sciences 30 (4):353-365.score: 18.0
    In his theory of evolution, Darwin recognized that the conditions of life play a role in the generation of hereditary variations, as well as in their selection. However, as evolutionary theory was developed further, heredity became identified with genetics, and variation was seen in terms of combinations of randomly generated gene mutations. We argue that this view is now changing, because it is clear that a notion of hereditary variation that is based solely on randomly varying genes that are (...)
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  50. Henri Bergson (1944/2007). Creative Evolution. New York, the Modern Library.score: 18.0
    Henri Bergson (1859-1941) is one of the truly great philosophers of the modernist period, and there is currently a major renaissance of interest in his unduly neglected texts and ideas amongst philosophers, literary theorists, and social theorists. Creative Evolution (1907) is the text that made Bergson world-famous in his own lifetime; in it Bergson responds to the challenge presented to our habits of thought by modern evolutionary theory, and attempts to show that the theory of knowledge must have its (...)
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