38 research outputs found

    Probabilidades Variacionales y Propensiones del Desarrollo: Un Estudio Filosófico del Azar en la Variación Evolutiva

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    Tesis inédita de la Universidad Complutense de Madrid, Facultad de Filosofía, leída el 09/11/2020The ongoing debate over a possible extension of the explanatory corpus of evolutionary biology touches many aspects of philosophical interest, among which is the role that chance plays in its models and explanations. In particular, how evolutionary variation relates to chance seems to differ under the classical and the evo-devo perspectives. While some tools of the philosophy of probability and chance have been incorporated into important aspects of evolutionary biology, this discrepancy has not been considered from this perspective. In this dissertation, Iintend to bridge part of this gap by endorsing a conception of chance in the generation of evolutionary variation that is the result of incorporating several conceptual tools from the philosophy of probability and chance into different views over the nature of evolutionary variation. My aim is to clarify the distinct roles that chance in variation plays in the field of evo-devo as compared with classical evolutionary genetics. I depart from the construction of a suitable philosophical framework about the representative role of probabilities in evolutionary disciplines and the type of explanatory causes that are responsible for them...El actual debate sobre una posible extensión del corpus explicativo de la biología evolutiva recoge muchos aspectos de interés filosófico, entre los que se encuentra el rol del azar en sus modelos y explicaciones. En particular, la relación entre la variación evolutiva y el azar parece ser muy distinto bajo las perspectivas clásica y dela evo-devo. Mientras que algunas herramientas de la filosofía de la probabilidad y el azar han sido incorporadas en aspectos importantes de la biología evolutiva, esta disparidad no ha sido considerada desde esta perspectiva. En esta tesis, mi intención es aliviar parcialmente esta carencia defendiendo una noción de azar en la generación de la variación evolutiva que es el resultado de incorporar varias herramientas conceptuales de la filosofía de la probabilidad a distintas perspectivas sobre su naturaleza. Mi objetivo es clarificar los distintos roles que el azar en la variación juega en el campo de la evo-devo en comparación con la genética evolutiva clásica. Comienzo con la construcción de un marco filosófico que considera el rol representativo de la probabilidad en las disciplinas evolutivas y el tipo de causas explicativas que son responsables de ella...Fac. de FilosofíaTRUEunpu

    Biological Systems Workbook: Data modelling and simulations at molecular level

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    Nowadays, there are huge quantities of data surrounding the different fields of biology derived from experiments and theoretical simulations, where results are often stored in biological databases that are growing at a vertiginous rate every year. Therefore, there is an increasing research interest in the application of mathematical and physical models able to produce reliable predictions and explanations to understand and rationalize that information. All these investigations are helping to overcome biological questions pushing forward in the solution of problems faced by our society. In this Biological Systems Workbook, we aim to introduce the basic pieces allowing life to take place, from the 3D structural point of view. We will start learning how to look at the 3D structure of molecules from studying small organic molecules used as drugs. Meanwhile, we will learn some methods that help us to generate models of these structures. Then we will move to more complex natural organic molecules as lipid or carbohydrates, learning how to estimate and reproduce their dynamics. Later, we will revise the structure of more complex macromolecules as proteins or DNA. Along this process, we will refer to different computational tools and databases that will help us to search, analyze and model the different molecular systems studied in this course

    Evolutionary genomics : statistical and computational methods

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    This open access book addresses the challenge of analyzing and understanding the evolutionary dynamics of complex biological systems at the genomic level, and elaborates on some promising strategies that would bring us closer to uncovering of the vital relationships between genotype and phenotype. After a few educational primers, the book continues with sections on sequence homology and alignment, phylogenetic methods to study genome evolution, methodologies for evaluating selective pressures on genomic sequences as well as genomic evolution in light of protein domain architecture and transposable elements, population genomics and other omics, and discussions of current bottlenecks in handling and analyzing genomic data. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and expert implementation advice that lead to the best results. Authoritative and comprehensive, Evolutionary Genomics: Statistical and Computational Methods, Second Edition aims to serve both novices in biology with strong statistics and computational skills, and molecular biologists with a good grasp of standard mathematical concepts, in moving this important field of study forward

    Geometric Methods for Context Sensitive Distributional Semantics

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    PhDThis thesis describes a novel methodology, grounded in the distributional semantic paradigm, for building context sensitive models of word meaning, affording an empirical exploration of the relationship between words and concepts. Anchored in theoretical linguistic insight regarding the contextually specified nature of lexical semantics, the work presented here explores a range of techniques for the selection of subspaces of word co-occurrence dimensions based on a statistical analysis of input terms as observed within large-scale textual corpora. The relationships between word-vectors that emerge in the projected subspaces can be analysed in terms of a mapping between their geometric features and their semantic properties. The power of this modelling technique is its ability to generate ad hoc semantic relationships in response to an extemporaneous linguistic or conceptual situation. The product of this approach is a generalisable computational linguistic methodology, capable of taking input in various forms, including word groupings and sentential context, and dynamically generating output from a broad base model of word co-occurrence data. To demonstrate the versatility of the method, this thesis will present competitive empirical results on a range of established natural language tasks including word similarity and relatedness rating, metaphor and metonymy detection, and analogy completion. A range of techniques will be applied in order to explore the ways in which different aspects of projected geometries can be mapped to different semantic relationships, allowing for the discovery of a range of lexical and conceptual properties for any given input and providing a basis for an empirical exploration of distinctions between the semantic phenomena under analysis. The case made here is that the flexibility of these models and their ability to extend output to evaluations of unattested linguistic relationships constitutes the groundwork for a method for the extrapolation of dynamic conceptual relationships from large-scale textual corpora. This method is presented as a complement and a counterpoint to established distributional methods for generating lexically productive word-vectors. Where contemporary vector space models of distributional semantics have almost universally involved either the factorisation of co-occurrence matrices or the incremental learning of abstract representations using neural networks, the approach described in this thesis preserves the connection between the individual dimensions of word-vectors and statistics pertaining to observations in a textual corpus. The hypothesis tested here is that the maintenance of actual, interpretable information about underlying linguistic data allows for the contextual selection of non-normalised subspaces with more nuanced geometric features. In addition to presenting competitive results for various computational linguistic targets, the thesis will suggest that the transparency of its representations indicates scope for the application of this model to various real-world problems where an interpretable relationship between data and output is highly desirable. This, finally, demonstrates a way towards the productive application of the theory and philosophy of language to computational linguistic practice.Engineering and Physical Sciences Research Council of the UK, EP/L50483X/1

    UMSL Bulletin 2018-2019

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    The University Bulletin/Course Catalog 2018-2019 Edition.https://irl.umsl.edu/bulletin/1082/thumbnail.jp
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