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"Empiricism"
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Observation in Constructive Empiricism: Arbitrary or Incoherent?
EI empirismo constructivo se halla inapropiadamente motivado por la doctrina empirista general. Sin embargo, sostenemos que es posible encontrar una motivacion para dicho empirismo en la peculiar mezcla entre la teoría de la decisión y algunos hechos específicos acerca de la especie humana anticipados por Van Fraassen en The Scientific Image. Lamentablemente, una filosofia de la ciencia motivada de esa manera es incapaz de evitar su propio hundimiento bajo el peso de otros multiples \"hechos\" relativos a la especie humana.
Journal Article
Prediction of higher-selectivity catalysts by computer-driven workflow and machine learning
Asymmetric catalysis is widely used in chemical research and manufacturing to access just one of two possible mirror-image products. Nonetheless, the process of tuning catalyst structure to optimize selectivity is still largely empirical. Zahrt et al. present a framework for more efficient, predictive optimization. As a proof of principle, they focused on a known coupling reaction of imines and thiols catalyzed by chiral phosphoric acid compounds. By modeling multiple conformations of more than 800 prospective catalysts, and then training machine-learning algorithms on a subset of experimental results, they achieved highly accurate predictions of enantioselectivities. Science , this issue p. eaau5631 A model encompassing multiple conformations of chiral phosphoric acid catalysts accurately predicts enantioselectivities. Catalyst design in asymmetric reaction development has traditionally been driven by empiricism, wherein experimentalists attempt to qualitatively recognize structural patterns to improve selectivity. Machine learning algorithms and chemoinformatics can potentially accelerate this process by recognizing otherwise inscrutable patterns in large datasets. Herein we report a computationally guided workflow for chiral catalyst selection using chemoinformatics at every stage of development. Robust molecular descriptors that are agnostic to the catalyst scaffold allow for selection of a universal training set on the basis of steric and electronic properties. This set can be used to train machine learning methods to make highly accurate predictive models over a broad range of selectivity space. Using support vector machines and deep feed-forward neural networks, we demonstrate accurate predictive modeling in the chiral phosphoric acid–catalyzed thiol addition to N -acylimines.
Journal Article
Thinking off your feet : how empirical psychology vindicates armchair philosophy
In an original defense of armchair philosophy, Michael Strevens seeks to restore philosophy to its traditional position as an essential part of the quest for knowledge, by reshaping debates about the nature of philosophical thinking. His approach explores experimental philosophy's methodological implications and the cognitive science of concepts.-- Provided by publisher
Book
Grounded empiricism
Empiricism has a long and venerable history. Aristotle, the Epicureans, Sextus Empiricus, Bacon, Locke, Hume, Mill, Mach and the Logical Empiricists, among others, represent a long line of historically influential empiricists who, one way or another, placed an emphasis on knowledge gained through the senses. In recent times the most highly articulated and influential edition of empiricism is undoubtedly Bas van Fraassen’s constructive empiricism. Science, according to this view, aims at empirically adequate theories, i.e. theories that save all and only the observable phenomena. Roughly put, something is observable in van Fraassen’s view if members of the human epistemic community can detect it with their unaided senses. Critics have contested this notion, citing, among other reasons, that much of what counts as knowledge for scientists, especially in the natural sciences, concerns things that are detectable only with instruments, i.e. things that are unobservable and hence unknowable by van Fraassen’s lights. The current paper seeks to overcome this objection by putting forth and defending a liberalised conception of observability and an associated, and accordingly liberalised, conception of empiricism. ‘Grounded observability’ and ‘grounded empiricism’, as we call them, unchain themselves from the burdens of traditional conceptions of experience, while at the same time tethering themselves to the source of epistemic credibility in the senses, and, hence to the true spirit of empiricism.
Journal Article
Human-Centered AI
Shneiderman discusses the Human-Centered AI (HCAI). HCAI is a vision of how machines might augment humans, and even encourage our best impulses toward each other, rather than how they might replace humans with something supposedly better. HCAI designers recognize that humans are happily and productively woven into social networks. From the HCAI perspective, computers should play a supportive role, amplifying people's ability to work in masterful or extraordinary ways. Although a growing number of people are demanding that AI machines include a \"human in the loop,\" this phrase often implies a grudging acceptance of human control panels.
Journal Article
Verified : how to think straight, get duped less, and make better decisions about what to believe online
\"These days, the world wide web has become the Wild West. We are faced with a seemingly endless source of information, all of it difficult to evaluate. Trusted sources can be full of ads, bad actors can slip under the radar, and seemingly questionable databases might hold a helpful treasure trove. Historian Sam Wineburg and media literacy guru Mike Caulfield are here to help with this informative, approachable guide to navigating the internet. With this illustrated tool kit, readers will learn to identify red flags, get quick context, and make better use of common tools like Google and Wikipedia that have the ability to help and hinder in equal measure\"-- Provided by publisher.
BOOK
Neither logical empiricism nor vitalism, but organicism: what the philosophy of biology was
Philosophy of biology is often said to have emerged in the last third of the twentieth century. Prior to this time, it has been alleged that the only authors who engaged philosophically with the life sciences were either logical empiricists who sought to impose the explanatory ideals of the physical sciences onto biology, or vitalists who invoked mystical agencies in an attempt to ward off the threat of physicochemical reduction. These schools paid little attention to actual biological science, and as a result philosophy of biology languished in a state of futility for much of the twentieth century. The situation, we are told, only began to change in the late 1960s and early 1970s, when a new generation of researchers began to focus on problems internal to biology, leading to the consolidation of the discipline. In this paper we challenge this widely accepted narrative of the history of philosophy of biology. We do so by arguing that the most important tradition within early twentieth-century philosophy of biology was neither logical empiricism nor vitalism, but the organicist movement that flourished between the First and Second World Wars. We show that the organicist corpus is thematically and methodologically continuous with the contemporary literature in order to discredit the view that early work in the philosophy of biology was unproductive, and we emphasize the desirability of integrating the historical and contemporary conversations into a single, unified discourse.
Journal Article