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Adam Carter, "Stratified Virtue Epistemology: A Defence " English | ISBN: 100946826X | 2024 | 75 pages | PDF | 4 MB This accessible Element defends version of virtue epistemology shown to have all-things-considered advantages over other views on the market. The view is unorthodox, in that it incorporates Sosa's animal/reflective knowledge distinction, which has thus far had few takers. The author shows why embracing a multi-tiered framework is not a liability within virtue epistemology but instead affords it an edge not attainable otherwise. The particular account of knowledge goes beyond Sosa's own view by introducing and incorporating several theoretical innovations (regarding both basing and risk, as well as the introduction of multiple species of reflective knowledge) which are aimed at revamping how we think about 'high-grade' knowledge, how we attain it, and what it demands of us. The result is a new and improved stratified virtue epistemology that can hold up against scrutiny.  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The new 6e prepares students with the foundation they need to understand how companies gain and sustain competitive advantage while developing skills to become successful leaders capable of making well-reasoned strategic decisions. As sole author, Rothaermel continues to provide an unmatched tight linkage between the concepts and cases, resulting in engaging and enjoyable content.  Free Download Catherine Malabou, "Stop Thief!: Anarchism and Philosophy" English | ISBN: 1509555234 | 2024 | 268 pages | PDF | 5 MB Many contemporary philosophers - including Michel Foucault, Jacques Derrida, and Giorgio Agamben - ascribe an ethical or political value to anarchy, but none ever called themselves an "anarchist." It is as if anarchism were unmentionable and had to be concealed, even though its critique of domination and of government is poached by the philosophers.  Free Download Stochastic Modelling and Control by M. H. A. Davis , R. B. Vinter English | PDF | 1985 | 405 Pages | ISBN : 9401086400 | 24.6 MB This book aims to provide a unified treatment of input/output modelling and of control for discrete-time dynamical systems subject to random disturbances. The results presented are of wide applica bility in control engineering, operations research, econometric modelling and many other areas. There are two distinct approaches to mathematical modelling of physical systems: a direct analysis of the physical mechanisms that comprise the process, or a 'black box' approach based on analysis of input/output data. The second approach is adopted here, although of course the properties ofthe models we study, which within the limits of linearity are very general, are also relevant to the behaviour of systems represented by such models, however they are arrived at. 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